Technology and society
Technology and society

Technology and society

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Who will benefit from AI?

In campus talk, Daron Acemoglu offers vision of “machine usefulness,” rather than autonomous “intelligence,” to help workers and spread prosperity.

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Re-imagining the opera of the future

The iconic sci-fi opera “VALIS,” first composed by Professor Tod Machover in 1987, reboots at MIT for a new generation.

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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.

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How an archeological approach can help leverage biased data in AI to improve medicine

Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.

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Making life friendlier with personal robots

Sharifa Alghowinem, a research scientist at the Media Lab, explores personal robot technology that explains emotions in English and Arabic.

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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.

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Artificial intelligence for augmentation and productivity

The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.

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How machine learning models can amplify inequities in medical diagnosis and treatment

MIT researchers investigate the causes of health-care disparities among underrepresented groups.

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AI model can help determine where a patient’s cancer arose

Predictions from the OncoNPC model could enable doctors to choose targeted treatments for difficult-to-treat tumors.

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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.