experts
Amlan Mohanty
Nonresident Research Fellow, Technology and Society Program

about


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.


areas of expertise
education
LLB, National Law School of India University, BA, National Law School of India University
languages
English

All work from Amlan Mohanty

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10 Results
research
A Tech Policy Planning Guide for India—Beyond the First 100 Days

This compendium provides an independent look at how to get the most out of India’s current technology ecosystem, and the measures that may need to be adopted or re-considered in order to build a lasting and enduring framework for policy changes in the select areas under the current administration.

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The Importance of AI Safety Institutes

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.

· June 28, 2024
In The Media
in the media
AI & India - Policy, Power & Potential

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.

· June 8, 2024
The Citizens Talkshow
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Compute for India: A Measured Approach

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.

· May 17, 2024
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Why We Need a Global AI Compact

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.

· March 1, 2024
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India’s Compute Conundrum

This essay discusses how India can address its “compute conundrum” to develop a compute strategy that aligns with its AI strategy.

· February 22, 2024
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India’s AI Strategy: Balancing Risk and Opportunity

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.

· February 22, 2024
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Advancing the India-U.S. Partnership on AI

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.

· February 20, 2024
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The Business Case for DPI

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.

· June 27, 2023
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What is DPI? The Need for a Principle-Based Approach

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.