The AI community is at risk of becoming polarized to either take a laissez-faire attitude toward AI development, or to call for government overregulation.
Carnegie India does not take institutional positions on public policy issues; the views represented herein are those of the author(s) and do not necessarily reflect the views of Carnegie, its staff, or its trustees.
Connecting real-world AI use cases across sectors such as health, education, agriculture, and livelihoods can help policymakers, innovators, and institutions align around a shared goal. This article looks at a framework ensuring that AI works for everyone.
Shalini Kapoor, Tanvi Lall
A central pillar of the TRUST initiative is a commitment by leaders to “work with U.S. and Indian private industry to put forward a U.S.-India Roadmap on Accelerating AI Infrastructure." On April 10, 2025, Carnegie India held a Track 1.5 meeting with officials from both countries, industry representatives, lawyers, civil society, and experts to brainstorm a policy agenda. The takeaways are as follows.
Rudra Chaudhuri, Amlan Mohanty
This paper explores the question of whether India specifically will be able to compete and lead in AI or whether it will remain relegated to a minor role in this global competition.
Anirudh Suri
This commentary explores the likely actions of the Trump administration and driving forces on issues of deregulation, the United States’ leadership in AI, national security, and global engagements on AI safety.
Shatakratu Sahu, Amlan Mohanty
This paper provides a comprehensive analysis of AI regulation in India by examining perspectives across government, industry, and civil society stakeholders. It evaluates the current regulatory state and proposes a policy roadmap forward. Does India need new AI regulations? What should they look like? Who is driving this debate in India and what are their views?
Amlan Mohanty, Shatakratu Sahu
