Tag: AI

  • Social automation and APT attributions in National Cybersecurity

    Social automation and APT attributions in National Cybersecurity

    Advanced Persistent Threats (APTs) are a prime concern in the formulation and implementation of national cybersecurity policies. These threats often also involve complex social engineering tactics which are undergoing a quantitative and qualitative revolution with burgeoning AI capabilities. However, the attribution of these APT activities can be mired with technical and political considerations. We analysed 142 APT groups’ attributions along with their use of social interaction vectors to ascertain the nature of the risk environment and the operational threat landscape of AI and social automation. We discover that close to 80% of APT activities could be chalked up to merely 20% of key nation-state threat actors competing with each other. We further discuss the implications of this political threat distribution for national cybersecurity environments.

    Keywords: cybersecurity, AI Policy, advanced persistent threats, automation, social engineering


    Read full paper here

  • InsurTech In India

    InsurTech In India

    It is not an unknown to anyone that the third, or Digital, Revolution, and the Fourth- The Technological Revolution has transformed the world order and the way daily activities are conducted. From a linear to an exponential growth rate of the revolutions, all the sectors- minor and major have seen unprecedented changes. The financial sector, though slow and cautious, is not an exception to these transformations.

    FinTech, or Financial Technology is the integration of technology into the offering of financial service to improve and automate their delivery and usage. Regular activities like online transfer of money to purchase of equity through an online platform come under the umbrella of Fintech. The Global Fintech Market has been valued at $127.66 bn by 2018 and was estimated (before COVID) to grow at 24.7% per annum. India is the 3rd largest fintech centre with FinTech investments of nearly $3.7 bn.

    Financial systems globally have incorporated certain level of digitalization and have experienced growth. One of the major markets that were perceived to have huge potential for Fintech investments is Insurance. Reducing vulnerability to financial loss, mobilization of funds and capital formation, and funding of infrastructural (or long term) projects had made the Insurance sector attractive for both demand-side and supply side parties for centuries, essentially making it a necessary financial instrument. Given this, the insurance penetration in the world is still quite low, and this industry is perceived as ripe for disruption and innovation by the FinTech Start-Ups.

    Insurtech, coined in 2010, is a combination of insurance and Fintech i.e. exploiting the wave of the digital revolution to improve insurance provision, innovation, and cost reduction. Insurtech employs artificial intelligence for customization of insurance products, simplification of pricing and underwriting for the products, cost reduction through disintermediation and automation, easy and quick settlement of claims and provide a platform for innovation. For example, claim settlement in motor insurance could be automized and made digital intensive, by uploading photographs of the accident and relevant documents to verify the claim, and online processing and approval of the claim. Blockchain technology would be of critical here for collaboration and common sharing of data and transactions with other insurance players, to avoid fraud by customer( for example, repetitive claims). Use of technology would also enable extending of services to those previously left out of the system.

    Why InsurTech?

    Say for example, in health insurance, an insurer would obtain only point-in-time data (through medical tests) about the policyholder which is not completely sufficient to make accurate risk assessment and underwriting. Once the customer is on-boarded, there is no effective way an insurer could know or keep track of the risk entailed in activities of the agent. That is the problem of moral hazard[1] which is a most relevant in case of motor insurance (at the individual level) or marine insurance (at the institutional level). InsurTech extract information from repositories like Big Data, BlockChain[2][3] or information records of Technology-driven devices (IoT devices like wearables and trackers) to maintain a regular stream of data that enables them to price the risk better and provide appropriate incentives to customers’ to reduce their risk exposure.

    For example, Pedometers to count steps walked in a day, fitness devices that capture heartbeat, oxygen intake, blood pressure etc, or even information recorded by smartphones (sometimes linked to the wearables) is used as input data that helps insurers to gain better insights(to a limited extent)  into the behavioural pattern of the policyholder. This is additional information available to the tech-driven InsurTechs that gives them an edge over the conventional insurance companies in assessing the risk more accurately. The analysis could be utilized to motivate customers to maintain good health by providing incentives like health-score based reduction in premium or other tangible benefits like discounts on health products, free subscriptions etc.

    There are several types of innovations[4] that fall within the scope of InsurTech—Digital platforms, Internet of Things (IoT), Big Data Comparators, Robo Adviser, Machine Learning, Artificial Intelligence, Blockchain, P2P (peer to peer), Usage-based and so on. India, being one of the largest smartphone users could take advantage of the Existing mobile and digital penetration to extend the outreach of insurance products (life, health, pension schemes) into untapped segments in the country- like youth and low-income customers.

    Risk assessment, underwriting and Fraud detection is done by the analysis of the accumulated data using Artificial intelligence and Machine Learning techniques. Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. Machine Learning (ML), [5]a subset of Artificial Intelligence, is the science and engineering of making machines ‘learn’ by finding patterns in data in an automated manner, using sophisticated methods and algorithms.

    So how does Insurtech aspire to be the face of the insurance market?

    With the digital revolution and rapid increase in the use of mobile phones, insurtech sees an opportunity to reach out to its customers in a fast and convenient way. Data resources like Big data and SaaS, about the customers collected from multiple sources could be employed to draw better inference from raw data and target the pool of potential customers. Unlike traditional insurance, Artificial Intelligence (AI) and Machine Learning(ML) could be used to develop chat bots and multiply interaction between agent and customer for assessing and customize the products in line with their needs. New Technologies (like Robotic process automation) could be used to reduce human intervention and automate the mundane activities like underwriting the contracts, claim settlement and also reducing operational costs. Moreover, AI and ML enable fraud detection from the pattern of activities of the customer. Unlike established insurers, insurtech have the flexibility to steer clear of legacy products and provide tailor-made products for the customers according to their needs and demand.

    Incumbents, or the established insurers, are viewing this as an opportunity and catalyst of innovation rather than a threat to their market penetration and customer acquisition. Collaboration of incumbents with the nascent start ups is a win-win situation, with the integration of best of both the worlds- the established infrastructure and market share of incumbents and innovative products, niche targeting and better pricing by employing AI and ML algorithms of the Insurtech.

    Insurtech in the World

                US homes nearly half of the InsurTech start-ups, followed by UK and India, and is an avenue for 63% of the insurtech investments.

     

     

    Source: InsurTech 2020 , Research Insights by Imaginea

     

                Some of the innovative on-demand insurance products launched by Insurtech around the world include-

    • MANGO: a Mexican- retirement and life insurance intermediary, for obtaining life insurance in minutes without excessive paperwork and confusing coverages.
    • Go Girl: women-only drivers insurance. It involves lower premiums for good drivers, free courtesy car repairs and an inbuilt accident and theft insurance. Complete transaction is conducted online.
    • VisitorCoverage: a travel medical insurance for only non-US citizens. It also provides insurance for public emergency health screening including Covid-19 and other tests.
    • Fizzy: an mobile insurance for delays in flights for 2hours or more
    • Dapp: Etherisc, a Munich Based insurance platform , offers a crop insurance, providing an instant payout of insurance in case of flood or drought.
    • AgUnity and Etherisc, a austalian start up to provide insurance covers directly to farmers to reduce the last mile challenges in providing insurance to customers who need it.

    InsurTech in India

    Currently, there are 24 life insurance and 39 non- life insurance companies in India (incumbents). In spite of that, India with a population of 121 billion has less that 4% (3.7% to GDP) of insurance penetration and a lapsation rate (unpaid premium for >6 months) as high as 20% compared to 15-20% in other Asian countries. As of 2017, at least 75% or 988 million Indians do not have life cover and 56% of population do not have any significant health coverage (out of 44%, 26% are covered by Rashtriya Swasthya Bima Yojana and only 8% by insurers).

    Incidentally, Indian insurance industry for a long time has relied on one-size-fits-all insurance products in the market, but now the dynamics of the insurance market are changing. Innovative products like usage-based insurance, micro insurance and on-demand insurance are flooding the Indian market. The large section of uninsured population is a candy store of opportunities for competent start ups that are in search of potential markets.

    • Usage based insurance: insurance products with low premium, paid periodically based on usage like pay-per-mile auto insurance; individual habits-based life insurance.
    • Need – based insurance: based on specific needs of the customer like theft insurance when away from home, theft insurance for valuables in the rented house. IRCTC travel insurance – in collaboration with ICICI Lombard, Royal Sundaram and Shriram general. Paytm launches a e-wallet insurance, refunding money stolen or accessed unauthorized.
    • Sachet-size insurance: provision of products like insurance against dengue (dengue insurance) to accident and life insurance, at a low premium rates is the agenda of this insurance.  Toffee Insurance – gurgoan based insurance start up, offers insurance against cycle theft and mosquito related diseases for a premium starting from Rs 20.

    [innovative ideas like Tinder-Date-Gone-Bad insurance to cover for restaurant bills and gift expenses are all our millennials and Gen X need to mobilize some cash for insurance].

    These are the some of the innovative products tailor-made for its customers according to their needs and economy. The primary incentive behind these innovations is to create an environment where customers are introduced to the benefits of insurance, who would ultimately vouch for the long-term insurances.

    Paytm which has users mostly in Tier II and Tier III cities has partnered with insurers to provide insurance services like premium payment and policy renewal and has  launched PayTm Insurance in early 2020, tying up with leading insurance firms in india. Amazon and Flipkart have collaborated with ACKO and AEGON LIFE respectively to provide Point-of-Sale insurance(for example, insurance on electronics). Ola provides commutation insurance for the rides at Rs 1. IRDA and the incumbents have viewed this disruption as an opportunity to improve penetration and provision of service. Collaboration with incumbents would also reduce barriers to trade for the emerging start ups and would provide financial support for more innovations. IRDA granted licenses to AKCO, DIGIT INSURANCE, COCO by DHFL and reliance health insurance to work as “neo-insurers”; a sandbox was established for the initial testing of new innovations before launching them into the market; guidelines and regulations were laid down for the functioning of insurtech, under the supervision of IRDA.

    Though at nascent stage, Insurtech has already attracted $3 billion investments worldwide. India has attracted nearly $183 million investments, as of 2019.

     
     

    Source: Predictions, BusinessToday.in 

     

    Source: Predictions

    IRDAI on Insurtech

                IRDA is the Insurance Regulatory and Development Authority of India. The demand for linking wearables to product designing by the insurers prompted the setting up of a working group to look into the new innovations and wearables. The main purpose/aim of working committee was to make recommendations for supervisory and regulatory frameworks for InsurTech.

    What should be the Regulator’s role in encouraging innovation”[6]       

    IRDA working committee has recognized that customers’ needs have evolved over time which cannot be fulfilled by traditional insurance alone. IRDA subsequently acknowledged that use of technology will, not only aid in new innovations and better service provision, but also helps insurers assess risk better, develop new business models, processes and products, through the use of data collected through various devices (for example: IoT[7] devices in the automobile to assess policyholders’ driving behaviour, which are recorded as data points). Insurers are embracing innovations with focus on data analytics, and sophisticated data models that help the identify, understand and quantify risk.
    Nevertheless, IRDA also acknowledged that this data capture poses several threats and challenges to the insurer and the customer. IRDA recognized the need for a regulator to understand the fast moving innovations in the sector, and develop proper knowledge and skills that foster Insurtech, simultaneously protecting the customers’ interests. In its report, it has made some recommendations regarding supervisory and regulatory framework with respect to InsurTech – Risk assessment, risk Improvement, product design and product pricing.

    For a better insight into the status quo of InsurTech worldwide, IRDA working committee looked into the variety of measures insurance regulatory bodies in other countries have observed.

    • Financial Conduct Authority (UK): FCA has taken initiative to look out for upcoming start ups and understand their potential problems, alongside with providing direct support (advisory support and clearing regulatory ambiguities); it has established a sandbox for pilot testing of new products on live customers on a small scale.
    • BaFin, Germany: it has adopted a technologically neutral position, i.e no special treatment is accorded to InsurTech owing to their innovative nature. Regulations to the insurers are strictly based on the functions performed by them.
    • Mexico: Regulators felt it is too early for developing separate regulations for Insurtech and they would be supervised under the existing regulations.

    Notable observations

    “From purchasing a policy to raising a claim, the process is time consuming, resource driven, and paper intensive. Technology can address these concerns and make the customer experience very smooth and hassle free.”

    “Digital technology could extend the reach coverage into largely untapped areas such as lower income segments, by reducing costs and allowing businesses to engage with customers in more compelling and relevant ways”

    “The use of technology has an impact on product design and the efficiency of inclusive insurance delivery.”

    “The consent of the customer to share data is a must for participation in such products.”

    “Insurers may be allowed to capture data as per their product requirements, but within the scope of insurance and underwriting need.”

    “The provider shall capture and give the insurance companies only the specified information, and the privacy of data arrangement will be directly between the insured and the provider.”

    “Insurers shall develop robust internal monitoring mechanisms to ensure that data leakages do not take place as this data could be misused for monetary benefits (e.g., sending promotional offers to customer based on his location etc.).”

    “The products can evolve and be tested in a sandbox environment before fully going live and a transition strategy should be proposed for when the proposed product exits the sandbox environment.”

                 Working Committee insisted on maintaining transparency and follow protocol for data collection, data usage and data sharing with third parties. It suggested that there is a need for portability/ sharing of data between the insurers. They could employ block chain technology unto this purpose.

    IRDA permits the insurers to offer discounts or offers to the customer based on the data collected. Premium and other benefits like discounts or subsidized or free health services  could be determined by the performance, progress, and consistency in individual’s (say health) score arrived at by analysing data obtained from single or multiple sources.

    Data Mining and Security

    Data collection could be done through proprietary or third party services. However,

    • Consent and customer access: The insurer should provide the details of the data collected to the customer and he should have access to this data (on a portal etc). There should be complete transparency about the data collected (should be as per/after his consent) and the benefits bestowed.
    • Usage: The usage of data should be as per the notice given to the customers. Regulations have to provide appropriate safeguards against data misuse
    • Disclosure: Insurer should not share the data with any third party, except for analytical services, provided they(analytical firms) satisfy the framework laid down.
    • BlockChain: BlockChain is an effective way to ensure transparency and security (encrypted records-blocks which are resistant to modification of data) which makes them ideal for recording of events and transactions. This is an ideal platform to ensure security and sharing to data among insurers.

    Concerns

    • It is important to maintain a right balance between protection of policyholders’ interest and promoting innovation.
    • There is a chance that some segment of populated may be rendered commercially uninsurable. Risk granulation might worsen the affordability and exclusion of certain sections in the society.
    • Innovations might disrupt the traditional risk pooling mechanism of the incumbents
    • Technology might disrupt the conventional business models of the insurers. There is a possibility of minimized engagement (integration) between insurers and customers.
    • Data insecurity is a prominent challenge.
    • Overreliance on technology could be a threat.
    • Supervisors ought to develop adequate technical resources, knowledge and skills to make sure there are no lapses.

    Recommendations

    • Insurers should perform a cost-benefit analysis, because the cost is ultimately borne by policyholders
    • (As mentioned) Product pricing and premium reviews, incentives to customers can be based on data collected through devices.
    • Such products must be tested in the sandbox before launch in the market.
    • Provision for adding wearbles data pricing for existing products. Details of usage of wearble devices should be a part of product filing.

    Interview

                InsurTech is still newbie. I found it more appropriate to  interview  few analysts who have hands on experience in the insurance market and have worked, supervised or studied about InsurTech and InsurTech start ups.

    I have interviewed 4 analysts

    Dr Sahil: A medical graduate(Cancer Biology) who ventured into Insurance sector. He is a experienced professional with an in-depth knowledge of healthcare and Insurance industry. Had the opportunity to be a part of 4 startups Currently working as a Director in a new and upcoming zen space of Insurtech- Meta InsurTech.

    Aparajit Bhattacharya: Senior-level Insurance professional experienced as Business Head of public and private companies. He is also a seasoned executive with an in-depth understanding of emerging technologies and their commercial applications, also having international business expertise, having conducted business in South Asia, Nigeria. Motivated self-starter who earned multiple sales achievement awards during the early career, as well as sustained recognition for Co-Founded Start-Up- Insure First.

    Rahul Mathur: He has completed his Master’s degree from the University of Warwick. He worked as a  Insurance Product Manager at Laka Insurance focused on product development, strategy and research. Presently, he is based in London working as a consulting analyst for a Start-up lead at the London chapter of Accenture’s FinTech Innovation Lab. He is also an Ambassador for Asia Insurtech Podcast, Asia’s first podcast dedicated to InsurTech and innovation in insurance featuring entrepreneurs, thought leaders and investors.

    Neerav:  Senior-level insurance professional.

    1. Where does insurTech stand today in India?

    Dr.Sahil:  InsurTech is basically employing AI and ML methods, and other technological tools, that reduce human intervention and processing time and increases efficiency in the insurance sector processes. InsurTech can help in early and easy, simplified purchase, processing and settlement of claims. According to me, we haven’t really reached that stage yet. Currently, we are in a behavioural changing phase, through digitalization of insurance Claims processing is still paper intensive (physical documents). The farthest we have gone so far is the approval of sandbox for testing products. But we are still behind in R&D and new products are yet to come out.

    Aparajit: InsurTech is a mix of insurance and technology. Though AI seems like a catchy concept, it hasn’t entered insurance globally. Presently, InsurTech is majorly dominated by Cloud-Based API. In the coming decade, more insurtech start ups and intermediaries will subscribe to using blockchain to automate activities more than AI.

    Neerav: InsuTech is mainly AI driven ecosystem that aids in reducing human intervention, cost and time, and improves accuracy. It cannot be regarded as a separate field. It has touched all areas in insurance so far, from risk analysis to price determination. But we are certainly slower than some countries like Singapore which have been using more advanced technologies.

    Rahul: More incumbents are willing to engage with Start ups to do business for example- partnerships with Riskcovry for distribution via APIs. Situations have changed for the insurance industry. Digit has scaled to $313M GWP for FY20 via commercial lines business. Private players are laying an active role in insurance. InsurTech has penetrated almost all areas in insurance including risk analysis, and price determination.

    1. What has been the Biggest success of InsurTech so far? What more could be done?

     

    Dr.Sahil: Sandbox is a appaudable success. New products are entering markets right now. But country needs to be more adaptable. As a premium- driven economy, we are attracted to cheaper premium products, which defeats the purpose of insurance. Awareness is still a big challenges in India.

    Aparajit:  One of the major successes is digital customer onboarding ( and acquisition) . Social media and search engines are creating awareness. Specially after covid, awareness about insurance (mostly health) has increased. InsurTech also created a excellent API culture for customer acquisition.

    Secondly, Sandbox is a commendable breakthrough, indicating that regulator is working on creating a conducive environment for growth of insurtechs. IRDA is also promoting e-commerce sales in Insurance. In Additional, various business-to-business start ups that work on administration, customer onboarding have also developed. These are some appreciable successes so far.

    Neerav: Insurers in India have become more adaptive to change and are more open to suggestions, new technologies and actively building internal infrastructure. They are looking for ultimate outcome.

    Rahul: Biggest success of InsurTech so far is lowering operational cost resulting in lower premiums (e.g.how). Secondly, B2B2C (business to business to customer) distribution via new affinity channels like e-commerce and payments apps entering into insurance (Patym premium payment). Incumbents have realized the need for change and “innovation”. As more InsurTechs enter the space, incumbents are becoming increasingly comfortable working alongside Technology companies (they are starting to appoint “Heads of Innovation” and create standalone teams for new affinity)

    1. What do you think are the niche areas that InsurTech could cater to?

    Dr.Sahil: There are numerous opputunities for InsurTech. There are numerous pools of customers that need to be insured. So the questionhere shifs to what should be done by the insurtechs to tap into these pools. To achieve these oppurtunities, Increased interaction between insurers, early processing and common data repository are 3 component areas that needs work on initially. For example, in case of health insurance, digital recording of medical report results, prescriptions and OPD slips saves huge amount of processing time (even for third party administrator) for the customer. Moreover, creating a central repository of relevant data, accessible to all insurers, would avoid be beneficial.

    Aparajit: India is one of the fastest growing insurance markets in the world. Yet,it has less than 4% penetration. InsurTech is an necessary means of reaching out to less insured tier II and tier III cities, which entails high capital costs if done in the traditional way. Secondly, unorganized sector workers are more likely uninsured for most part. Insurtech could bridge this gap through digital customer onboarding, virtual distribution of policies, e- kyc etc Digital Customer acquisition, identity verification (through e- Aadhaar), quick accessing of product details as per customer needs etc could be done without the need for physical infrastructure. Thus, API driven InsurTech would be the key to solve the low penetration problem in India.

    Neerav : there are two  types of distributors-  retail and corporate. Corporate have broadly foussed on launching Apps say, a wellness app for pharmacy buying and telecalls. Gradually, it will be expanding to other customers (retails). The main focus would be on customers in tier II cities and rural areas, rather than in metrocities.

    Rahul: InsurTech has prospective future in Drone insurance. The upcoming use for electrical vehicles opens up doors for new product- electrical vehicles insurance. InsurTech also has huge scope in Micro insurance and insurance in sharing economy. 

    1. Personal Data Security is one of the biggest challenges India is facing. How are the new Start ups assuring the customer data safety?

    Dr.Sahil: InsurTech is all about data. And Tech doesn’t happen overnight. It has various layers that need to be designed before a robust technology takes form.

    1. Functionality or purpose of the innovation
    2. Independence in the working
    3. The Load taking capacity
    4. Security measures

    Younger population currently prefers hassle free processing through digital platform, hence data security is not the first thing on mind. This is surely a big challenge, but this is a task for a later stage. Moreover, In India, Most insurtechs are intermediaries and the essential processes like underwriting, policy issue, claim settlement are done at the insurers’ end. So in ideal situations, insurers should be responsible for Data security. Alternatively, Government, a more informed member, should take responsibility to ensure data security and measures in case of a data leak where parties involved are punished.

    Aparajit: InsurTechs abide by the data safety protocols, system audits reports and security protocols mandated by IRDA. Mostly all the Servers are located in india, which reduces risk to considerable extent. However, data threat is very much of a real problem and IRDA will come up with new measures in due course of time to tackle this effectively.

    Neerav : Big companies are mainly following European data security standards and

    Guidelines and hence are legally insulated. But in practical sense, there are still gaps. Risk prevails. Challenges are there but we will figure out more ways. Infact, this isone of the many reasons, incumbents are hesitant to invest in newbies.

    Rahul: Typically, start-ups are built on AWS[8] or MS Azure or GCP(cloud based platforms) which comes with in-built security features  that incumbents who use on-premise services would not have access to. Moreover, Incumbents tend to be more vulnerable since they are the targets of cyber criminals owing to the size of their operations. Typically, leading InsurTech companies with increasing investments (Series A/B) have a full-service cyber security team (but this varies by company).

    1. How can we increase the awareness about Insurance in India?

    Dr.Sahil: Agents, more often than not, focus on appraisal and incentives. Similarly, customers are concerned with cheaper premium with more benefits. Improving customer welfare is hardly talked about. This is a consequence of lack of awareness. Insurer should focus on post sales engagement. Inception of a chat bot or common call centre, agnostic touch point not represented by any one company could be a innovative start.

    Aparajit: Social media and search engines playing a major role in creating awareness- like  insurance specific pages on facebook, Linkedin. API culture of InsuTech also actively creates awareness. For the benefit of customers, simplification and bullet pointing the terms and conditions in policy underwriting is a suggestion.

    Neerav: Most effective way is ‘word of mouth’. Customers will do away with agents, only if they see a better alternative in new technology. Though Advertising is effective promotion, it has a limited impact. Lack of awareness has negatively impacted customers’ welfare for a long time.

    1. In my opinion, one of the implications of digital insurance is lesser personal contact and more digital interaction between the agents and the customers. Do you think this could transform into challenge in any context?

    Dr.Sahil: As mentioned before, Agent is certainly more concerned about his benefits. Post sale of product, subsequent contact with agent will be for claim processing and settlement or maturity. thus, evidently, it is more profitable to be more interactive with the insurer. Most queries by the clients are not complex or tech related (like clauses of a claim) and could be answered by Chatbots. Chatbots infact make his process more efficient- make it phygital- physical person plus digital model. Many Insurers like policy bazaar, HDFC have already employed this technology. Is time agents also adapt to this change.

    Aparajit: Unlike popular belief, digitalization can infact improve the productivity of Agent if taken advantage of. Typically, an Agent could contact 2-3 clients per day, given the distance and time factor. Digital arrangement is cost effective in the sense that it reduces transaction costs and travelling time, increases agent productivity and outreach.  Tier II and III cities are becoming with active on online platforms and are looking for online modes of communication. Voice and video could become the new mode of communication, the new normal.

    Neerav: Not really. This was a problem of past. On the contrary, InsurTech could make huge difference in Tier II and III cities which are highly dependent on agents. InsurTech would promote awareness, and provide more transparent information and advice unlike an agent. Agents could still be a source of contact forsecond opinion, but InsurTech could replace agents at primary level.

    Rahul: It is difficult to say certainly. For more established agents/brokers who own large books, they might just return to business as usual The younger generation of agents & brokers might accept the support that digital platform provides (lower commissions but higher volume) since they are less embedded in the “old ways”. It is also important to consider that customers at different points in their life would want different levels of service ranging from digital to Face-to-Face.

    1. IRDA has been welcoming to the changes in the sector. Do you think there is more to be done?

    Dr.Sahil: IRDA has done a great job so far in welcoming InsurTech into the country and establishing the sandbox. But It has to move beyond the role of a regulator and expand its capabilities in technology and insurtech.

    Aparajit:  Yes, there is a lot of scope for IRDA as a regulator. But the pace has been set, which is a progressive step. Finance ministry and IRDA could promote digitalization and modrenization in LIC.

    Neerav: No. IRDA has been very supportive and cautious. As long as the product quality meets the standards, IRDA would approve and promote the product and the firm. Although, may be Public sector firms in the economy could be given a nudge by the government and IRDA.

    Rahul: Sandbox is a good starting point and  Standardization of clauses, exclusions and claim settlements in Health is a welcome move. However, there is a  Lack of clarity on policy wordings and interpretation which makes it harder for brokers/customers to compare products on features beyond price. In addition, there is a need for Centrally pooled underwriting capacity for innovation. This is a global problem where any start-up or platform which requires “product innovation” in insurance has to chase multiple carriers. Similar to how the IRDA used to operate the Third-Party motor pool, it should consider operating an innovation pool for capacity (application system like Sandbox)

    1. Covid 19 is the biggest pandemic any country has faced so far. Yet, it is believed that Covid could in fact accelerate digitalization. Do you believe that? Do you think this holds true for India? What will be its short term and long term impacts?

     Dr.Sahil: Covid has succeded in driving a behavioural change in the customers. People have become more adaptive to digitalization of processes. This could be a long lasting effect. Yet, this seems to a  very limited group, expansion of which depends on the InsurTechs now. However, In my opinion, InsurTech per se is covid independent.

    Aparajit:

    Traditionally, There are 4 distribition channels for insurance- bancassurance, agency, direct sales and brokers and corporate agents. Prior to Covid, agency and bancassurance owned  major market share and digital platforms have less than 5% contribution. But currently, with  bancassurance and agency which are not technologically prepared, are shut and digital platforms have taken their place. Policy bazaar’s business has increased by 30% due to their digital front which is certainly going to sustain even when bancasssurance and agents revive. Thus, in this way, InsurTech will be efficient, removing manual and menial (repetitive) works. Some jobs would become obsolete, and those employees could be used for other human intensive activities. Though motor and travel insurance companies have expected short term losses, these can be recovered as the industry revives.  Insurtech was initially met with scepticism. Adopting digitalization was considered “optional”. Covid has certain ways exposed the inefficiencies in the industry. It is now a question of how fast industry can adopt technology for the long term benefit.

    Neerav: Covid infact has a multifold effect on the industry. It could change the business is done by the insurers. Gradually, a virtual work culture may develop, where client meetings are held digitally. This is entail large cost benefits.  Smaller cities and towns are moving towards digital payments and service, which has become a necessity now. It also achieving a gradual behavioural change and adaptation to technology. Insurance industry will see a change

    Rahul: Some B2B InsurTechs (like policybazaar.com, Metamophsys) have seen several inquiries come in and sales cycles shorten. Executives understood the limitations of not having digital capabilities to administer policies, renewals and claims remotely, and incumbents are inclining rapidly towards digital operations. This effect is bound to remain for a long period. Moreover, Awareness of the importance of health insurance is likely to remain. Health Insurance was one of the few segments to maintain positive YoY growth in April and May 2020)

                Presently, nearly 60- 65%  of population in India is young. They would form a major share of insurance demand in the forthcoming years and InsurTech and incumbents should be prepared for this. Demand for Renters policies and gadget protection policies will increase rapidly. Health Insurance also holds more oppurtunities for innovation and disruption. A more customer centric approach will pave the way for InsurTech.

    Evidently, Insurtech needs to happen as it is an effective way to create awareness among customers, for them to look beyond return on investment or fear. Insurance is a precaution against an eventuality and should be considered a long term investment.

    Appendix

    List of InsurTechs in India

    India: InsureTech Acitivity (Sorted by Type and then Alphabetical Order)
    Name Type Description Founded in Location
    Konsult Enabler Mobile app offering health consultations with potential insurance leads 2015 Delhi
    SatSure Enabler Crop damage assessment service 2015 Bangalore
    Trak N Tell Enabler A leading telematics solution provider 2009 Delhi
    BharatSaves Enabler Online insurace shopping by Google N/A Bangalore
    Xceedance Enabler Insurance analytics and consulting to P&C carriers 2013 Bangalore
    Senseforth Enabler Conversational AI – has developed SPOK, an email bot HDFC Life Insurance 2012 Bangalore
    Ask Arvi Enabler Health Insurance Assistant / Conversational AI 2017 Mumbai
    Girnar Software Intermediary IT company offering mobile and web solutions. Operators of CarDekho.com car buying portal 2007 Jaipur
    Demyto Intermediary A portal for car services with the ability to request an insurance quote 2015 Pune
    EasyPolicy Intermediary Life and P&C insurance comparison site 2011 Noida
    Wishfin Intermediary Insurance and finance marketplace, formerly known as Deal4Loans 2015 Delhi
    Pickme India Intermediary Gadget insurance 2011 Mumbai
    YuMiGo Intermediary Travel insurance aggregator 2015 Delhi
    Turtlemint Intermediary Insurance aggregator with online quotes and form assist 2015 Mumbai
    RenewBuy Intermediary Car insurance aggreagtor 2015 Noida
    Coverfox Intermediary Insurance aggregator with online quotes and form assist 2013 Mumbai
    ETInsure Intermediary Insurance aggregator with online quotes and form assist 2016 Delhi
    121Policy Intermediary Insurance aggregator with online quotes and form assist 2016 Kolkata
    GIBL Intermediary Insurance aggregator with online quotes 2013 Kolkata
    GramCover Intermediary An insurance marketplace for the rural sector. 2016 Delhi
    PolicyMantra Intermediary Insurance aggregator with online quotes and form assist 2010 Mumbai
    PolicyBazaar Intermediary Insurance aggregator with online quotes and form assist 2008 Gurgaon
    CarDekho Intermediary Car search portal that also provides online car insurance quotes (Subsidiary of Girnar) 2016 Gurgaon
    PolicyBoss Intermediary Online insurance aggregator 2003 Mumbai
    Acko General Insurance Primary India’s first online insurance company 2017 Mumbai

     
    References

    [1] Moral Hazard is the case where the insured assumes more risk, since the burden of the loss is borne by someone else( insurer)

    [2] Blockchain or distributed registry technology is a digital ledger that stores active transaction data without intermediate control by using a consensus system to validate transactions. Blockchain operates on a principle of transparency for fixed record keeping.

    [3] InsurTech -Working Group Findings & Recommendations (IRDA)

    [4] InsurTech -Working Group Findings & Recommendations (IRDA)

    [5] InsurTech -Working Group Findings & Recommendations (IRDA)

    [6] InsurTech -Working Group Findings & Recommendations (IRDA)

    [7] Internet of Things

    [8] Amazon Web Services

     
    This is a working paper. Comments are welcome and can be forwarded to aqf19surya@mse.ac.in
     

  • Contemporary and Upcoming Issues In the Field of Intellectual Property Rights

    Contemporary and Upcoming Issues In the Field of Intellectual Property Rights

    1.1   Contemporary Issues: IP Awareness and Drug Price Caps

    1.1.1. Introduction

    The realm of intellectual property (IP) rights has been in existence and been a driving force for novelty and innovation for centuries and can be dated back to at least 500 BC when a state in Greece provided protection for 1 year to innovators of ‘a new refinement in luxury’, ensuring innovators can monopolize and reap benefits out of their innovations.[i] That being the case, the first international convention (known as the ‘Paris Convention’) was enforced much later in the year 1883, establishing a union for the protection of ‘industrial property’. Since then, we have seen rapid growth in the field of IP rights. It goes without saying that till the time entrepreneurs are incorporating companies, innovators are inventing technology or artists are creating their works of art and/or literature, the domain of IP will only progress further.

    Although the evolution of international IP regime has been rapid and the laws have become a lot more complicated than they initially were, it appears that we have only scratched the surface of the extent and reach of IP rights. It cannot be stressed enough that IP rights are crucial to every company, creator and inventor since it ensures that their rights and interests are protected and gives them the right to claim relief against any violation.

    Insofar as the Indian IP regime is concerned, we have seen a gradual but crucial development in our laws which has now motivated not only foreign corporations to seek IP protection in India but has also supported start-ups in seeking protection of their IP to the extent that these enterprises have the liberty to seek the protection of their IP at significantly reduced fees (barring copyright and geographical indications). The Indian Intellectual Property Office (IPO) has also taken measures to promote e-filing by reducing costs associated therewith and improving its e-filing system/mechanism. However, the issues arise when start-ups and small enterprises seek to register their IP and are unaware of these common, but cost-effective mechanisms in place.

    Besides, our intellectual property policies (especially patent policies) have been a subject matter of criticism for a long time at a global stage due to the government’s intervention in the enforcement of patent rights. One of the primary concerns for foreign corporations and organizations have been related to working of patented inventions in India and the issue of compulsory licensing.

    1.1.2. Lack of Awareness of Intellectual Property Rights

    Launched by the Government of India in 2014, the ‘Make in India’ project has motivated entrepreneurs to establish their business with the help of government funding and foreign direct investments (FDI) of up to 100%.[ii] This step has led to a boost in people exploiting their entrepreneurial skills to establish a successful business (in most cases). Although the Make in India project also focuses on the importance of IP rights by attempting to educate the entrepreneurial minds of the importance and benefits of their IP, it appears that small businesses are yet to benefit from the IP aspect of the project. These businesses/start-ups do not realize the importance of their IP and tend to often misuse violate another’s. This leads to the institution of a lawsuit seeking infringement (or passing off) against such businesses by big corporations and since defending such Suits is an expensive and time-consuming process, it becomes an uphill task for the entrepreneurs to defend the Suits and run their business effectively. Entrepreneurs are often misinformed and miseducated of the basics of IP by professionals who do not have an expertise in the area of IP law, which leads them to believe that their acts of adopting an identical or deceptively similar trademark would go unnoticed or would not constitute infringement or passing off. Due to their lack of knowledge in the domain of IP and lack of proper guidance by professionals, these entrepreneurs tend to believe that: –

    • Adopting an identical mark (intentionally) in a different class does not constitute infringement or passing off;
    • Adopting a similar mark in the same (or allied and cognate) class does not constitute infringement or passing off;
    • Even if the competing marks are identical or deceptively similar, filing a trademark application with a user claim would give them a defensible stand against the true proprietor’s claim.

    Needless to say, these are some of the common misconceptions which lead to a claim of infringement or passing off being raised by true proprietors of the marks. Also, the possibility of the Court of law imposing damages and/or costs on a defendant cannot be ruled out either. In such a scenario, due to the limited funding of these start-ups, they are often forced to reconsider their entire business strategy in-line with the pending lawsuit. This can, however, be avoided if the entrepreneurs are either well-educated in the field of IP law or take necessary steps to ensure that they receive proper guidance regarding risks involved in registration and use of their mark, from a professional with expertise in the field of IP laws. Instances of start-ups adopting a similar or identical mark of a big corporation/start-up are quite common nowadays with some of the known cases being instituted by ‘Bookmyshow’ against ‘Bookmyoffer’, ‘Shaadi.com’ seeking relief against use of ‘Secondshaadi.com’, ‘Naukri.com’ suing ‘naukrie.com’, etc.[iii]

    In instances involving the pharmaceutical industry, the issue becomes far severe since adopting a similar or identical mark can result not only in infringement of IP but can only be extremely harmful to the patients/consumers. Unlike any other consumable item, patients/consumers are at much greater risk if they consume wrong medication and such instances where corporations adopt a similar or identical mark for its pharmaceutical drug, the consequence can be fatal to the extent that it may even lead to death. In one such famous instance in India where the Defendant was a repeated/hardened infringer, the High Court of Bombay while imposing exemplary costs of INR 1.5 crores stated “Drugs are not sweets. Pharmaceutical companies which provide medicines for the health of the consumers have a special duty of care towards them. These companies have a greater responsibility towards the general public. However, nowadays, the corporate and financial goals of such companies cloud the decision of its executives whose decisions are incentivized by profits, more often than not, at the cost of public health. This case is a perfect example of just that”.

    Another issue these entrepreneurs/start-ups tend to face in the realm of IP law is vis-a-vis use of copyrighted material without knowledge/intention to infringe upon someone else’s IP rights. For instance, when start-ups launch their online portals, they tend to use images/GIFs or music for their videos which are copyrighted and use thereof without permission is illegal. On account of lack of knowledge of IP laws and consequences of such misuse, they often violate rights residing in the copyrighted work and are then subject to either a legal notice from the owner/proprietor of the copyrighted material or a lawsuit before the Court of law.

    The United States of America’s (USA) Chamber of Global Innovation Policy Center (GIPC) which promotes innovation and creativity through intellectual property standards, in its 2019 list of countries performing in the field of IP law, places India at a substantially low rank of 40 out of 53[iv] which indicates that USA considers India as a major threat when it comes to development and investment the field of IP rights in India (especially in the field of patents). Additionally, India also lacks in the number of patent applications filed before the Indian Patent Office, averaging at around 9,500 filings per year, compared to 2,69,000 filings in the USA.[v] One of the primary reason behind this difference might have something to do with India’s lack of support towards the encouragement of IP protection, especially for start-ups.

    1.1.3. Raising Awareness on Intellectual Property Laws for Entrepreneurs

    With almost 50% of litigations within the domain of IP pertaining to trademark infringement and passing off,[vi] entrepreneurs and small businesses must take the following necessary steps to ensure that their rights and interests in their business are protected: –

    • Entrepreneurs/Business owners must entrust lawyers/law firms specializing in the field of IP rights to advise and prosecute their trademark applications;
    • Understand or attempt to understand each and every step involved in prosecuting and registering a trademark application and participate in discussions leading to every step taken in the prosecution of their IP; and,
    • Approach IP lawyers/law firms to get a gist of importance of IP protection along-with freedom to use a mark either before registering it or using the said mark for goods in classes not forming part of the trademark registration.

    It is also the duty of IP lawyers/law firms to promote IP protection for entrepreneurs and small businesses by organizing interactive sessions with new and/or domestic clients and providing competitive charges for prosecuting and enforcing IP rights of these entrepreneurs and businesses.

    Statistics reflect that majority of IP infringement cases in India involve a small enterprise being unaware of the basics of IP rights and therefore, using an IP that is either deceptively similar or virtually identical to a registered and/or well-known IP.[vii] Often businesses expanding their presence in the online portal (either through their website or a social media page) use copyrighted material without realizing that their use of the same would tantamount infringement.   Raising awareness of the importance of IP and consequences of infringement (and passing off) would ensure that start-ups avoid misusing an IP belonging to someone else.

    1.1.4. The imposition of Price Caps on pharmaceutical drugs in India and its work-around

    One of the primary reasons why the USA considers India’s IP regime a major threat has something to do with India’s patent laws, especially vis-à-vis the pharmaceutical industry. Albeit the US Trade Representative (USTR) last year stated that the USA is attempting to restrict patentability for new pharmaceutical drugs which are “essentially mere discoveries of a new form of a known substance which does not result in enhancement of the known efficacy of that substance ….. machine or apparatus” (which is identical to Section 3(d) of the Indian Patents Act, 1970),[viii] it still considers India as a threat to its IP regime, especially due of India’s patent laws.

    To better understand the problems faced in the Indian pharmaceutical industry, it would be prudent to point out that unlike developed nations, the Indian government (through its Patents Act and policies) keeps strict control over the drug pricing with an intention to make healthcare (specifically medication) accessible amongst all States and income groups. This can especially be observed in pharmaceutical drugs for cancer and diabetes medication. The Government of India has imposed strict price restrictions for its pharmaceutical drugs, thereby diluting IP rights and causing a severe impact on IP valuation of those pharmaceutical drugs.[ix]Although the impact might seem insignificant to consumers since they benefit from these price reductions, making cancer medicines 90% cheaper due to price control would not make IP holders happy or promote invention. Simply put, once the government slashes prices of pharmaceutical drugs intending to make them easily accessible to the majority of patients, it severely impacts the profit margin of the pharmaceutical industries, forcing them to invest more into the industry of generic drug manufacturers because of a bigger profit margin and lesser costs, rather than invest into inventing new drugs, which might although tackle a currently incurable disease (or a curable disease more effectively), but would at the same time, lead the corporation into losses. These price cuts would also force the pharmaceutical corporations to compromise on the quality of drugs which might, in a longer run, have a severe impact on healthcare.

    India’s investment in its healthcare sector has been a major concern since the Indian States ideally spend as low as 1.3% of their gross domestic product (GDP) on healthcare which results in a substantial increase in out-of-pocket expenses and placement of poor healthcare mechanisms.[x] India’s heavy reliance on generic drugs supporting the lesser privileged consumers has been expressed as a concern by the USTR[xi] and global pharmaceutical giants to the extent that investors and pharmaceutical corporations have restricted their investment into the Indian pharmaceutical industry since their price margin would result in government either forcing price caps on the drugs or implement compulsory licensing for the expensive and life-saving drugs.

    As stated above, this approach of placing price caps towards the Indian and global (vis-à-vis their sale of drugs in India) pharmaceutical industry has a major impact on India’s patent laws since it affects innovation, and since innovation is an essential part of the invention in the healthcare sector, pharmaceutical industries tend to focus more on generic drug production, profit from out-of-pocket expenses of consumers/patients, hospitalization costs, etc.[xii] The imposition of price caps has shown to have no significant improvement in accessibility of pharmaceutical drugs.

    Although the imposition of price caps is necessary for a developing nation, the same should be practiced to a limited extent. For instance, instead of capping the price of a pharmaceutical drug and dropping its price by 90%, the price caps should be dependent on the situation and need for the drug. For instance, cancer and diabetes medication are in high requirements in India[xiii] (and other nations) and therefore, the government can impose price caps and reduce the cost of the drugs by 50%. Insofar as other (less crucial/critical) pharmaceutical drugs are concerned, the government can either refrain from price caps or impose a price cap of a maximum of 20%. This would not only promote investment in innovating patented drugs but would also increase FDI in the Indian pharmaceutical sector, thereby permitting Indian pharmaceutical corporations to invent new and possibly better pharmaceutical drugs.

    At the same time, a concerned person always reserves their right under Section 84(1)[xiv] of the Indian Patents Act, 1970 to request for issuance of a compulsory license (after the expiry of three years from the date of grant of the patent) against the said pharmaceutical drug in case it does not comply with the guidelines issued under Section 83[xv]  of the afore-mentioned Act like in the case of Bayer Corporation v. Union of India.[xvi] In essence, the Indian government must invest more in its healthcare sector policies to reduce out-of-pocket expenses incurred by patients/consumers and reduce the price caps by a significant amount to promote innovation in the field of patent laws, especially in the pharmaceutical sector.

    1.2. A Global Upcoming Issue: Impact of Use/Commercialization of Artificial Intelligence on Intellectual Property Rights

    1.2.1. Introduction

    “Can machines think?” – Alan Turing, 1950

    A few years after Alan Mathiso Turing, a renowned English mathematician, cryptanalyst and computer scientist played a pivotal role in defeating Hitler’s Nazi Germany, he wrote a paper titled ‘Computing Machinery and Intelligence’ (1950) where he asked a simple, yet intriguing question: “Can machines think?”. His paper and subsequent research established the basis of what we refer to as ‘Artificial Intelligence’ (AI) or machine learning/intelligence. Fast forward to today, the concept of AI has become a lot more complex than what had been imagined by researchers around half a century ago. AI or a machine which reflects the ability to think and act in as close of a manner as a human mind is as of date, an exciting new development in the field of technology.

    From ‘The Turin Test’ in the year 1950 to creation of Sophia, a humanoid robot created by Hanson Robotics in the year 2016, technology, especially in the field of AI has progressed at a drastic rate, with some of the major developments being the creation of Google’s Home device (2016), Apple’s virtual assistant ‘Siri’ (2011), Microsoft’s virtual assistant ‘Cortana’ (2014), Amazon’s home assistant ‘Alexa’ (2014), etc. occurring in the past decade (2010 to 2019) itself. It is safe to say that with this progress, it is not far-fetched to assume that we may soon see the age of commercialization of much smarter versions of currently existing machine learning devices. The technology relating to AI has seen explosive growth in recent times with the number of patent applications for technologies relating to AI exceeding 1,00,000.[xvii]

    Today, AI can be dissected into two types of intelligence, namely:

    • Weak AI: This is a more common type of AI which is used amongst major corporations like Google, Apple, Microsoft, etc. and although it is being used widely, its abilities are limited to performing tasks that it has been trained to perform. Such AI can store data and present it to the consumer upon enquiry or on need-basis. However, the algorithms do not permit this AI to think and act in a manner a human mind would and therefore, this AI does not pose a threat within the domain of IP.
    • Strong AI: Unlike weak AI, this form of AI would perform more cognitive functions that imitate a human mind more closely as against weak AI. Even though weak AI is known to perform basic functions more efficiently (when compared to humans), the strong AI will not only perform those basic functions of a weak AI but also will also perform more complex tasks such as inventing or creating a new IP (like a new copyrightable sound or video or a unique design, etc.).

    To a certain extent, researchers worry about the consequences of AI in case its goals end up being misaligned to ours. But at this stage, AI seems to be more promising than dangerous, especially in the field of healthcare and agriculture which is a critical industry for India.

    Needless to say, corporations are investing a lot of resources to develop this field of technology which is said to have revolutionary impacts including prediction of epidemics, advanced disaster warnings and damage prevention methods, increased productivity in all industries, etc. The possibilities and benefits (and in many cases, risks) of AI are innumerable and at the current rate of its development, it will quite possibly be overwhelming. Regardless of its pros and cons, commercialization of AI is inevitable and therefore, this raises a material question: Do we have the appropriate laws in place to tackle issues arising out of commercialization (or use) of AI? The answer, unfortunately, is no.

    1.2.2. The Current Scenario

    Being an upcoming digital frontier, it is apparent that AI will have a huge impact on our current laws and practices. For instance, our current world IP regime only permits a ‘person’ to be a proprietor and/or owner of an IP (see Naruto v. Slater[xviii]) which implies that any form of IP that is generated/invented by an AI cannot be a subject matter of registration. However, a recent decision by the Chinese Court wherein a tech giant ‘Tencent’ claimed copyright infringement against a local financial news company overwork created by its Dreamwriter robot might reflect a contrary view. The Court in the said case held that an article generated by AI is protectable under Chinese copyright law.[xix] Holding a contrary view, the European Patent Office (EPO) in the case pertaining to patent applications filed by ‘DABUS’ an AI technology, gave a finding similar to the Naruto case wherein it held that application has to be filed by a human being.[xx] Professor Ryan Abbott along-with his multi-disciplinary team at the University of Surrey had filed (through their AI called DABUS) the first-ever patent application without a human inventor[xxi] indicating that the move towards AI-based IP filing is underway, however, given that the laws are currently not in place, the application was, unfortunately, refused.

    Although an old principle, the Courts around the world at times rely (either directly or indirectly) on the principle of “sweat of the brow”, which indicates the inventor’s effort and hard work invested in creating an IP. However, the application of the said principle becomes rather complicated when the issue of IP generated by AI comes into the picture. At the same time, the commercialization of AI might also lead to dilution of IP rights, given that the possibility of AI being better and quicker at generating IP than human beings cannot be ruled out. Undoubtedly, AI might eventually be considered as a ‘smarter’ variant of a human inventor since an AI would require a significantly less amount of time and effort to generate a registrable IP. Apart from the ones already mentioned above, several unknown issues are likely to arise upon commercialization of AI (to generate IP) and there is a dire need to highlight and resolve these issues at the earliest.

    The World Intellectual Property Organization (WIPO) has recently taken an initiative to invite public feedback on possible impacts of AI on the world IP regime[xxii] by conducting press conferences to tackle the impending issues vis-à-vis IP laws upon commercialization or use of AI. Although the topic of discussion during the previous conference was somewhat restricted to Patent laws and did not tackle IP laws holistically, the next round of sessions might emphasize on all IP laws and be more holistic towards progress. Needless to say, AI will impact our IP regime all the way from the creation of an IP to valuation, commercialization, transfer/assignment, etc. thereof, which would require a complete overhaul of our current laws in order to inculcate and appreciate the investment (in terms of time and costs) and labour involved in the creation of the AI, as well as use/transfer/assignment of an IP generated by that AI.

    1.2.3. India’s Approach towards Artificial Intelligence

    India has seen rapid growth in its information technology (IT) sector which has further contributed to other primary sectors like agricultural sector, healthcare sector, etc. by developing various mechanisms such as a system for online trading or integrated crop management system (amongst other things). It is safe to say that technology has a big role to play in India’s growth. Apart from the agricultural industry, the software industry has played a pivotal role in India’s move towards becoming the fastest-growing trillion-dollar economy.[xxiii]

    Being amongst the most profitable investment jurisdictions, India has recently been a hub for tech-related start-ups. Understanding the importance of technology, Indian entrepreneurs, along-with government support, have started to invest heavily in the technology field and with the help of FDI, there has been a substantial boom in the field of technology. Since other fields such as agriculture, healthcare and education are all somewhat dependent on this field, the scope of AI transforming all the other sectors through the tech sector is clearly perceivable.

    As discussed earlier, India’s healthcare sector is in a dire need for investment and development and on account of lack of funding and need to make medication accessible, reliance on AI would drastically reduce costs incurred in labour, research and development, trials, etc., which would eventually reduce the costs of pharmaceutical drugs themselves, thereby impacting the final sale price of the drug. Reliance on AI (by developing the tech sector) would extinguish the need for State governments to invest heavily in their healthcare programmes. Although the current investment might not cut it, a substantial investment, in that case, would not be required. AI support in the development and marketing of pharmaceutical drugs, thereby reducing the overall costs and increasing production and sale would also invite more FDI in India’s healthcare sector. This will also eventually make healthcare more accessible in less developed regions in India. Statistics indicate that healthcare is majorly accessible/available in limited States/Cities like Bengaluru, Chennai, Gurugram, etc.[xxiv] while cities like Singrauli continue to suffer.[xxv] With the major impediment of drug pricing out of the way, access to healthcare will become more of a focus and would eventually thrive with AI support.

    Insofar as the agricultural sector is concerned, the same plays an essential role in our developing economy. According to a report issued by India Brand Equity Foundation (IBEF), around 58% of Indian population relies on India’s agricultural sector with a contribution of an estimated $265.51 billion (approximately INR 18.55 lakh crore) of gross value added to its economy (in Financial Year 2019).[xxvi] This implies that majority of the lesser developed States and Cities in India rely solely on production and sale of their agricultural produce.[xxvii] With an FDI inflow of up to 100% and an increasing reliance on technology, the sector keeps looking for methods to increase crop yields in a cost-effective manner. Having said that, the agricultural sector still faces some major issues like weather instability and fluctuations, condition of agricultural labourers, poor farming techniques, inadequate irrigation facilities, etc.[xxviii]  Unlike the healthcare sector, the agricultural sector is already witnessing the impact of AI from companies like Microsoft India and Intello Labs which have introduced mechanisms to maximize crop yield and reduce wastage/infestation. For instance, Microsoft India has introduced an AI-based sowing app which determines and informs the farmers of the best time to sow their crop based on analysis of climate data for the specific area and amount of rainfall and soil moisture the crops have received.[xxix]  Farmers can benefit from these AI-based apps without spending any additional costs on installing sensors.

    Indian (and foreign) tech industries have already played an important role in providing ease of business through reliance on weak AI and therefore, if India invests and conducts thorough research into strong AI, the implications of AI can be countless. However, since research and investment in the field of strong AI are extremely limited in India, commercialization thereof seems far-fetched as of date. Due to lack of expertise in the field of AI, it has been difficult to conduct research and yield any result. Colleges/Universities often refrain from investing in the field of AI research due to lack of participation and heavy research costs. Also, since the education system in the majority of institutions is somewhat traditional, graduates (or post-graduates) lack the required skill set to work in this technical field.[xxx]

    In contrast, however, the Chinese government is already taking steps to become a leader in the AI space by 2030s. It has adopted a three-step method which involves appreciating AI-based applications by the year 2020, making cutting edge breakthroughs in the said field by 2025 and leading in the industry by 2030. To support this process, a Chinese Court has already ruled in favour of AI-generated copyright work in its decision favouring Tencent,[xxxi] a tech company focusing on communication and social platforms. Since India (through its tech industry) has started taking steps to work towards its AI technology (albeit weak AI for now) and has also entrusted its think-tank ‘NITI (National Institution for Transforming India ) Aayog’ for assistance in such development through the National Program on AI,[xxxii] we hope to see India catch-up to tech giants like China, USA and Europe.

    1.2.4. Development of Intellectual Property Laws on Artificial Intelligence: An Indian Perspective

     Since WIPO has only recently started discussing the implications of AI on global IP laws, the member states of WIPO are yet to come out with laws pertaining to AI-based IP. While beginning its public consultation process on AI and IP policy, Director General of WIPO Mr Francis Gurry said: “Artificial intelligence is set to radically alter the way in which we work and live, with great potential to help us solve common global challenges, but it is also prompting policy questions and challenges,”.[xxxiii]  On December 13, 2019 WIPO also published ‘Draft Issues Paper on Intellectual Property Policy and Artificial Intelligence’ with an intent to invite feedback/opinion on the most pressing issues IP policymakers will face in the near future. One of the most crucial questions where jurisdictions conflict is whether AI can be an inventor/owner of an IP. While the EPO held that an AI cannot be the inventor of a patent application, the Chinese Court observed the contrary, holding that an AI can be an inventor of a copyrightable subject matter. Apart from the issues arising vis-à-vis prosecution of such applications (assuming an AI can be an inventor/originator of an IP), another important issue would pertain to enforcement by or against IP owned by an AI. For instance, if an AI generates a copyrightable subject matter which is deceptively similar or identical to a copyrighted matter, against whom will a Suit claiming infringement and damages lie? Further, in case of a finding against the AI wherein damages have been awarded, will the AI be expected to bear the damages or the owner of the AI? To answer these complex questions, WIPO has invited inputs from member States on issues (not exhaustive) published on December 13, 2019.[xxxiv]

    In view afore-mentioned development, India should establish a team of technical and legal (IP) experts to review the current laws and issues drafted by the WIPO Secretariat, draft possible answers to the issues and suggest required amendments to our current laws to inculcate rights of AI in the best way possible and then discuss the same at a larger stage, i.e., at the 25th Session of the WIPO Committee on Development and Intellectual Property (CDIP). Until now, India’s role/participation in WIPO’s sessions/meetings has been passive and considering how AI would impact its various sectors, especially the agricultural and healthcare sector (a sector which needs an improvement), India must play an active role in the development of IP laws to support AI. Given the fact that India is one of the fastest-growing economies and one of its cities is also considered as the ‘Silicon Valley’ of India,[xxxv] commercialization/use of AI would greatly benefit its economy to the extent that it would substantially reduce labour costs and at the same time, benefit a lot of entrepreneurs in the tech industry. Additionally, AI would also be crucial for government offices as it would greatly reduce delay in processing time and errors. For instance, the use of AI in Indian Intellectual Property Offices would enable machines to review applications for basic defects such as non-filing of an essential document or improper authentication, etc. In case strong AI is adopted by these departments, it would also enable machines to raise basic objections on applications and upon clearance thereof, advertise or register the same, thereby reducing significant costs and time.

    It goes without saying that AI is the next big thing in the field of technology and once it is commercialized at a large scale, it is going to have a huge impact on our laws (especially IP laws). Given India’s interests and possible benefits in the field of AI, its involvement in the development of our current IP regime is pivotal.

     

    Notes

    [i] Jeff Williams, The Evolution of Intellectual Property, Law Office of Jeff Williams PLLC; link: https://txpatentattorney.com/blog/the-history-of-intellectual-property(published on November 11, 2015).

    [ii] Foreign Direct Investment, published by Make in India; link: http://www.makeinindia.com/policy/foreign-direct-investment.

    [iii] Top 17 Startup Legal Disputes, published by Wazzeer; link: https://wazzeer.com/blog/top-17-startup-legal-disputes (published on May 02, 2017).

    [iv] GIPC IP Index 2020, published by Global Innovation Policy Center; link: https://www.theglobalipcenter.com/ipindex2020-details/?country=in.

    [v] Darrell M. West, India-U.S. relations: Intellectual property rights, Brookings India; link: https://www.brookings.edu/opinions/india-u-s-relations-intellectual-property-rights (published on June 04, 2016).

    [vi] Thehasin Nazia & Rajarshi Choudhuri, The Problem of IPR Infringement in India’s Burgeoning Startup Ecosystem, IPWatchdog; link: https://www.ipwatchdog.com/2019/11/16/problem-ipr-infringement-indias-burgeoning-startup-ecosystem/id=116019 (published on November 16, 2019).

    [vii] Press Trust of India, Absence of legal awareness root cause of rights’ deprivation, Business Standard, Nagpur; link: https://www.business-standard.com/article/pti-stories/absence-of-legal-awareness-root-cause-of-rights-deprivation-119081800664_1.html (published on August 18, 2019).

    [viii] Kristina M. L. Acri née Lybecker, India’s Patent Law is No Model for the United States: Say No to No Combination Drug Patents Act, IP Watch Dog; link: https://www.ipwatchdog.com/2019/06/26/indias-patent-law-no-model-united-states/id=110727 (published on June 26, 2019).

    [ix] Amir Ullah Khan, India’s drug price fix is hurting healthcare, Live Mint; link: https://www.livemint.com/politics/policy/india-s-drug-price-fix-is-hurting-healthcare-11572334594083.html (published on October 29, 2019).

    [x] Ibid.

    [xi] E Kumar Sharma, Hard bargaining ahead, Business Today; link: https://www.businesstoday.in/magazine/focus/us-to-pressure-india-change-intellectual-property-ipr-regime/story/214440.html (published on February 01, 2015).

    [xii] Amir, supra note 9 at __(page No.)__.

    [xiii] Key diabetes, anti-cancer drugs among 92 in price-ceiling list, published by ET Bureau, The Economic Times; link: https://economictimes.indiatimes.com/industry/healthcare/biotech/pharmaceuticals/key-diabetes-anti-cancer-drugs-among-92-in-price-ceiling-list/articleshow/65433283.cms?from=mdr (published on August 17, 2018).

    [xiv] Section 84(1) of the Patents Act, 1970 :-

    Compulsory licenses –

    (1) At any time after the expiration of three years from the date of the 170 [grant] of a patent, any person interested may make an application to the Controller for grant of compulsory license on patent on any of the following grounds, namely:-

    (a) that the reasonable requirements of the public with respect to the patented invention have not been satisfied, or

    (b) that the patented invention is not available to the public at a reasonably affordable price, or

    (c) that the patented invention is not worked in the territory of India.

    [xv] Section 83 of the Patents Act, 1970:-

    General principles applicable to working of patented inventions –

    Without prejudice to the other provisions contained in this Act, in exercising the powers conferred by this Chapter, regard shall be had to the following general considerations, namely;-

    (a) that patents are granted to encourage inventions and to secure that the inventions are worked in India on a commercial scale and to the fullest extent that is reasonably practicable without undue delay;

    (b) that they are not granted merely to enable patentees to enjoy a monopoly for the importation of the patented article;

    (c) that the protection and enforcement of patent rights contribute to the promotion of technological innovation and to the transfer and dissemination of technology, to the mutual advantage of producers and users of technological knowledge and in a manner conducive to social and economic welfare, and to a balance of rights and obligations;

    (d) that patents granted do not impede protection of public health and nutrition and should act as instrument to promote public interest specially in sectors of vital importance for socio-economic and technological development of India;

    (e) that patents granted do not in any way prohibit Central Government in taking measures to protect public health;

    (f) that the patent right is not abused by the patentee or person deriving title or interest on patent from the patentee, and the patentee or a person deriving title or interest on patent from the patentee does not resort to practices which unreasonably restrain trade or adversely affect the international transfer of technology; and

    (g) that patents are granted to make the benefit of the patented invention available at reasonably affordable prices to the public.

    [xvi] Special Leave to Appeal (C) No(S). 30145 of 2014.

    [xvii] Ryan N. Phelan, Artificial Intelligence & the Intellectual Property Landscape, Marshall Gerstein & Borun LLP, published by Lexology; link: https://www.lexology.com/library/detail.aspx?g=8c2b5986-95bb-4e8e-9057-e4481bfaa471 (published on September 14, 2019).

    [xviii] No. 16-15469 (9th Cir. 2018).

    [xix] Stefano Zaccaria, AI-written articles are copyright-protected, rules Chinese court, World Intellectual Property Review (WIPR); published on January 10, 2020 (link:https://www.worldipreview.com/news/ai-written-articles-are-copyright-protected-rules-chinese-court-19102).

    [xx] EPO refuses DABUS patent applications designating a machine inventor, European Patent Office; link: https://www.epo.org/news-issues/news/2019/20191220.html(published on December 20, 2019).

    [xxi] Laura Butler, World first patent applications filed for inventions generated solely by artificial intelligence, University of Surrey; published on 01 August, 2019 (link: https://www.surrey.ac.uk/news/world-first-patent-applications-filed-inventions-generated-solely-artificial-intelligence).

    [xxii] WIPO Begins Public Consultation Process on Artificial Intelligence and Intellectual Property Policy, published by World Intellectual Property Organization (WIPO); PR/2019/843; published on December 13, 2019 (link: https://www.wipo.int/pressroom/en/articles/2019/article_0017.html).

    [xxiii] Caleb Silver, The Top 20 Economies in the World, Investopedia; link: https://www.investopedia.com/insights/worlds-top-economies/#5-india (published on November 19, 2019).

    [xxiv] Akriti Bajaj, Working towards building a healthier India, Invest India; link: https://www.investindia.gov.in/sector/healthcare (published on January 18, 2020).

    [xxv] Leroy Leo, Niti Aayog calls healthcare system a ‘sinking ship,’ urges private participation in Ayushman Bharat, Live Mint; link: https://www.livemint.com/news/india/niti-aayog-calls-healthcare-system-a-sinking-ship-urges-private-participation-in-ayushman-bharat-11574948865389.html (published on November 29, 2019).

    [xxvi] Agriculture in India: Information About Indian Agriculture & Its Importance, Indian Brand Equity Foundation (IBEF); link: https://www.ibef.org/industry/agriculture-india.aspx (published on November 2019).

    [xxvii] Ayushman Baruah, Artificial Intelligence in Indian Agriculture – An Industry and Startup Overview, Emerj; link: https://emerj.com/ai-sector-overviews/artificial-intelligence-in-indian-agriculture-an-industry-and-startup-overview (published on November 22, 2019).

    [xxviii] Vidya Sethy, Top 13 Problems Faced by Indian Agriculture, Your Article Library; link: http://www.yourarticlelibrary.com/agriculture/top-13-problems-faced-by-indian-agriculture/62852.

    [xxix] Ibid.

    [xxx] Neha Dewan, In the race for AI supremacy, has India missed the bus?, The Economic Times; link: https://economictimes.indiatimes.com/small-biz/startups/features/in-the-race-for-ai-supremacy-has-india-missed-the-bus/articleshow/69836362.cms (published on June 19, 2019).

    [xxxi] Rory O’Neill and Stefano Zaccaria,

    AI-written articles are copyright-protected, rules Chinese court, World Intellectual Property Review (WIPR); link: https://www.worldipreview.com/news/ai-written-articles-are-copyright-protected-rules-chinese-court-19102 (published on January 10, 2020).

    [xxxii] National Strategy On Artificial Intelligence, published by NITI Aayog; link: https://niti.gov.in/national-strategy-artificial-intelligence.

    [xxxiii] WIPO Begins Public Consultation Process on Artificial Intelligence and Intellectual Property Policy, PR/2019/843, World Intellectual Property Organization (WIPO), Geneva; link: https://www.wipo.int/pressroom/en/articles/2019/article_0017.html (published on December 13, 2019).

    [xxxiv] WIPO Secretariat, WIPO Conversation on Intellectual Property (IP) and Artificial Intelligence (AI), Second Session, WIPO/IP/AI/2/GE/20/1, World Intellectual Property Organization (WIPO); link: https://www.wipo.int/edocs/mdocs/mdocs/en/wipo_ip_ai_ge_20/wipo_ip_ai_2_ge_20_1.pdf (published on December 13, 2019).

    [xxxv] Bangalore, published by Wikipedia; link: https://en.wikipedia.org/wiki/Bangalore (last updated on February 07, 0220).

     

    Image Credit: WIPO

  • PDC – 5: Artificial intelligence and disruptive technologies

    PDC – 5: Artificial intelligence and disruptive technologies

    Technology is growing exponentially signalling the ‘Fourth Industrial Revolution’ of technological breakthroughs, such as Robotic Process Automation, Artificial Intelligence, Blockchain, and the Internet of Things. The advent of Fourth Industrial Revolution will disrupt almost every industry, every emerging and developed country in areas of employment and governance. The change has already started from an individual level, ranging up to societal and national level and one can only predict as to what depths these disruptive technologies are going to revolutionise the future. Come join us in our brainstorming discussion as to how people in India should adapt on a personal and professional level to embrace this uncertain, but exciting future.

    The discussion led by S K Sivakumar, enterprise architect was well received by the participants. Currently stepping into to fourth wave of industrialization it is crucial for any country to comprehend the technology aspect from various dimensions. AI technology is embedded in most of our consumer products and is shaping the future of our manufacturing & service sector. A concise explanation on usage of AI technology and the working back end technology was shared. An interesting insight on application of such technology at micro level was presented by the speaker. With such developments in the technology, it is an opportune time to evaluate the technological capabilities of India and direct policy decision to reach out potential growth in research on disruptive technology. While there is a threat of AI taking over manual jobs, it is most unlikely to happen anytime in near future. A more adaptive approach to growing technology has to be employed to facilitate research and development in the field. A follow up session on the same topic is to be organized to explore the international relation angle in the technology power race.

     

    PDC Past Event : 20 Dec 2019