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News

AI, the law, and our future

MIT “Policy Congress” examines the complex terrain of artificial intelligence regulation.

News

Explained: Generative AI’s environmental impact

Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.

News

MIT talks with Love is Blind’s AI/data scientist Cameron Hamilton

MIT talks with Love is Blind’s AI/data scientist Cameron Hamilton

News

Explained: Generative AI

How do powerful generative AI systems like ChatGPT work, and what makes them different from other types of artificial intelligence?

News

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.

News

CSAIL director invited to White House AI summit

MIT professor Daniela Rus participates in event with members of industry, government and academia

News

CSAIL launches joint AI research award with JPMorganChase

Starting in 2025, the “JPMC-CSAIL Research Awards for Junior AI Researchers” will be given out annually for 10 years to support tenure-track faculty members in their efforts to make advancements in the critical and rapidly evolving field of AI.

News

SMART launches research group to advance AI, automation, and the future of work

Mens, Manus and Machina (M3S) will design technology, training programs, and institutions for successful human-machine collaboration.

News

Pushing the frontiers of art and technology with generative AI

“I believe by using AI, whether generative or otherwise, we have the opportunity to find the language of humanity,” media artist Refik Anadol told an MIT audience.

News

AI in health should be regulated, but don’t forget about the algorithms, researchers say

In a recent commentary, a team from MIT, Equality AI, and Boston University highlights the gaps in regulation for AI models and non-AI algorithms in health care.
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MIT CSAIL

Massachusetts Institute of Technology

Computer Science & Artificial Intelligence Laboratory

32 Vassar St, Cambridge MA 02139

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MIT Schwarzman College of Computing