Tag Archives: MIT Ad Hoc Committee on AI use

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via the report published by MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training:

As a community, we need to keep in mind that although research is central to MIT’s mission, it’s more than an end in itself; on our campus, research is also an apprenticeship, a means of training the next generation of researchers to continue our work and drive our fields of inquiry forward. Using research as an opportunity for learning-by-doing may produce seeming “inefficiencies,” but that’s a feature, not a bug.

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via the report published by MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training:

Facing a technology that already has such immense capabilities – built on, modeled after, and in many ways now exceeding human powers – the Institute’s fundamental challenge and most important goal must be to nurture and protect our shared humanity, and to value the MIT community, its members, and their flourishing above all.

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via the report published by MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training:

“MIT should use this moment to ask what forms of presence, collaboration, mentorship, and shared intellectual life are essential to residential education – and then design AI policies, pedagogies, and research practices that strengthen them rather than allow their erosion, replacement, or collapse.”

Published on August 13, 2026.

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via the report published by MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training:

AI has arrived at a moment when the social foundations of campus life are already under strain. Across higher education, students report10 high levels of anxiety, depression, loneliness, and disconnection. Confidence in institutions has weakened, political polarization has made campuses more fragile, and the post-pandemic recovery of in-person communities remains incomplete.

Published on August 13, 2026.

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via the report published by MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training:

Society tends to peg the “birth” of a new technology as the point when it becomes readily usable. By that measure, generative artificial intelligence was “born” with the release of ChatGPT in late 2022. Public engagement with generative AI is therefore less than four years old. In that time, it has amassed more than a billion users, and the companies selling AI technology have come to dominate the headlines, the stock market, and public consciousness.

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via the report published by MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training:

AI is disrupting the social fabric of our campus – and the wider world. The backlash against AI in commencement speeches in the summer of 2026 was just one expression of the discontent many feel about AI itself and the role Big Tech now plays in our society.

Published on August 13, 2026.

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via the report published by MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training:

“Anecdotally, it appears that the rapid adoption of AI may already be affecting student well-being and creating new long-term challenges. Some students are becoming dependent on AI for schoolwork or emotional support; losing their sense of agency, purpose, and confidence; and worrying about their career prospects in an AI-saturated world. Instructors and other academic staff should be prepared to recognize AI-related academic, social, and emotional challenges and to direct students to appropriate support.”

Published on August 13, 2026.

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