Indian startups are diving headfirst into the AI revolution, but are they prepared for the ethical and regulatory challenges that lie ahead?
In an exclusive interview with TICE, Prasanto Kumar Roy, Senior Advisor at FTI Consulting and a seasoned public policy expert, sheds light on the critical intersection of artificial intelligence, public policy, and the Indian startup ecosystem.
Roy emphasizes the growing reliance on AI across sectors, particularly among startups leveraging it for everything from data analytics to customer service. He warns, however, that this rapid adoption brings a new set of responsibilities.
"If something goes wrong, they are liable," Roy states, highlighting the potential legal ramifications of AI-driven decisions, especially concerning data privacy and defamation.
Bridging the Ethics Gap
Despite India's robust policy framework, Roy identifies a significant gap in ethical considerations within the startup ecosystem. He points to a tendency among startups to exploit "regulatory arbitrage" – finding loopholes in existing regulations to gain a competitive advantage. While this strategy might work in the initial stages, it can backfire as startups grow, attracting increased scrutiny from regulators like the RBI.
"Suddenly, then the startups and the investors realize that, you know, maybe they could have addressed it earlier," Roy observes, stressing the need for startups to proactively address corporate governance and ethical AI practices from the outset.
Simplifying the Policy Maze
Roy acknowledges the complexity of existing policies, which can often be difficult to understand and implement. He advocates for clearer guidelines, particularly regarding data privacy and corporate governance standards for startups.
"It's increasingly clear that startups have to [prioritize transparency and disclosure]," Roy asserts, urging them to adopt a proactive approach rather than waiting for regulatory action to force their hand.
Mitigating Risks in the Tech Boom
Data privacy emerges as a significant concern for tech startups in the age of AI.
Roy emphasizes the importance of complying with the Digital Data Protection Act (DDPA), stating, "Startups can no longer say, 'Hey, that's something that big tech has to take. They have to be compliant.'"
He advises startups to be particularly cautious about data usage, ensuring the protection of user privacy and taking responsibility for any consequential damages arising from data breaches.
Roy identifies credit and customer service as two sectors where AI is making significant strides. AI-powered solutions are enabling credit access for individuals with limited credit history by leveraging alternative data sources like mobile phone recharge patterns. In customer service, AI chatbots are helping reduce costs while improving response times. However, Roy cautions against over-reliance on AI, emphasizing the need for human oversight to ensure sensitivity and address complex customer issues effectively.
Advice for Startups in Tier 2 and Tier 3 Markets
With a significant portion of TICE's audience based in Tier 2 and Tier 3 markets, Roy offers specific advice for startups operating in these regions. He highlights the importance of adhering to the DDPA, especially given the challenges in accessing traditional credit data in smaller towns and cities. Startups in these areas often rely on alternative data sources, making data privacy compliance even more critical.
A Call for Collaboration
Roy concludes with a call for greater collaboration between policymakers and the startup ecosystem. He urges policymakers to actively engage with startups, understand their compliance challenges, and provide clearer guidelines. Conversely, he encourages startups to closely track policy developments and proactively engage with the policy ecosystem.
This collaborative approach, Roy believes, will enable Indian startups to navigate the AI revolution successfully, fostering innovation while upholding ethical practices and regulatory compliance.
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