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 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:

Students are confused and concerned about a lack of clarity, consistency and justification about the use of AI, within a given subject and across the curriculum.

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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:

AI is generating both immediate rapid changes and long-term tectonic disruptions – and MIT needs to respond.

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

While AI is allowing instructors to develop exciting new learning experiences and enabling students to learn and experiment in innovative ways, there have been a number of concerning effects on the life of the campus.

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