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News

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.

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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.

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Explained: Generative AI

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

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

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

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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.

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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.

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.
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MIT CSAIL

Massachusetts Institute of Technology

Computer Science & Artificial Intelligence Laboratory

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