Technology and policy
Technology and policy

A data-driven approach to making better choices

In the new economics course 14.163 (Algorithms and Behavioral Science), students investigate the deployment of machine-learning tools and their potential to understand people, reduce bias, and improve society.

MIT launches Working Group on Generative AI and the Work of the Future

New initiative is convening leading companies and nonprofits with support from Google’s Community Grants Fund.

Second round of seed grants awarded to MIT scholars studying the impact and applications of generative AI

The 16 finalists — representing every school at MIT — will explore generative AI’s impact on privacy, art, drug discovery, aging, and more.

3 Questions: Shaping the future of work in an age of AI

Daron Acemoglu, David Autor, and Simon Johnson, faculty co-directors of the new MIT Shaping the Future of Work Initiative, describe why the work matters and what they hope to achieve.

Sadhana Lolla named 2024 Gates Cambridge Scholar

The MIT senior will pursue graduate studies in technology policy at Cambridge University.

Gosha Geogdzhayev and Sadhana Lolla named 2024 Gates Cambridge Scholars

The MIT seniors will pursue graduate studies at Cambridge University.

Generating the policy of tomorrow

Hundreds of participants from around the world joined the sixth annual MIT Policy Hackathon to develop data-informed policy solutions to challenges in health, housing, and more.

Stratospheric safety standards: How aviation could steer regulation of AI in health

An interdisciplinary team of researchers thinks health AI could benefit from some of the aviation industry’s long history of hard-won lessons that have created one of the safest activities today.

MIT scholars awarded seed grants to probe the social implications of generative AI

The 27 finalists — representing every school at MIT — will explore the technology’s impact on democracy, education, sustainability, communications, and much more.

Using AI to protect against AI image manipulation

“PhotoGuard,” developed by MIT CSAIL researchers, prevents unauthorized image manipulation, safeguarding authenticity in the era of advanced generative models.