This essay traces the evolution of AI safety institutes around the world, explores different national approaches, and examines the need for an AI safety institute in India.
Amlan is a nonresident research fellow at Carnegie India. He is also a technology lawyer and policy consultant based in Bangalore, with over ten years of experience working with big tech, law firms, think tanks, and the government.
Before going independent, he led Google's public policy and government affairs portfolio in India across privacy, content regulation, competition, and AI.
Prior to that, he worked at some of India's finest law firms and has helped the Indian government develop landmark policies on digital privacy, content policy, and telecom.
He has been a visiting faculty at the National Law School of India University and Career Launcher, where he taught courses on technology policy and legal reasoning.
He holds a degree from the National Law School of India, where he was chief editor of the Indian Journal of Law and Technology. He writes essays about the impact of technology on business, politics, and society on his website Techlawtopia.
This essay traces the evolution of AI safety institutes around the world, explores different national approaches, and examines the need for an AI safety institute in India.
In this podcast for "The Citizens Talkshow," Amlan Mohanty joins Anirudh Narayan and Mayur Bommai to discuss a wide range of topics related to AI, including its definition, impact on businesses and society, and the evolving landscape of AI policy both globally and in India.
Carnegie India recently organized a closed-door meeting in New Delhi to discuss India’s approach to compute in the context of its national artificial intelligence (AI) strategy. The meeting was attended by government officials, technology executives, startup founders, and academic researchers. Carnegie India’s experts also attended meetings organized by technologists based in Bengaluru on their efforts to promote open access to compute. Below is a summary and analysis of the key takeaways from these meetings.
This essay provides three reasons why the world needs a global AI compact, what it will hopefully achieve, and the role of different stakeholders in this process.
This essay discusses how India can address its “compute conundrum” to develop a compute strategy that aligns with its AI strategy.
This essay shares insights on key elements of India’s AI strategy and outlines some of the trade-offs involved in balancing risks with opportunities.
Given the importance of AI under the iCET framework, this essay outlines five areas where India and the United States could collaborate to advance their partnership on AI.
DPIs have the potential to transform how businesses deliver their services, given the benefits of scale, efficiency, and innovation. But leveraging the power of DPIs in a sustainable way will require effective collaboration between businesses and policymakers.
As different countries work toward adopting a global definition for DPI, it is important to implement a principle-based approach built on consensus until such a definition is adopted.