Ethics
Ethics

Ethics

Algorithms Anthropology Archeology Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) Ethics Health sciences and technology Institute for Medical Engineering and Science (IMES) Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing National Institutes of Health (NIH) Public health Race and gender Research School of Engineering Technology and society

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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Understanding viral justice

Author and African American studies scholar Ruha Benjamin urges MIT Libraries staff to “re-imagine the default settings” of technology for a more just future.

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Day of AI curriculum meets the moment

Global participation in MIT RAISE’s free K-12 program more than doubles in its second year.

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If art is how we express our humanity, where does AI fit in?

MIT postdoc Ziv Epstein SM ’19, PhD ’23 discusses issues arising from the use of generative AI to make art and other media.

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Defining the public interest in new technologies

New online journal seeks to seeks to bring together the MIT community to discuss the social responsibilities of individuals who design, implement, and evaluate technologies.

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Bringing the social and ethical responsibilities of computing to the forefront

The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.

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An AI challenge only humans can solve

In their new book, “Power and Progress,” Daron Acemoglu and Simon Johnson ask whether the benefits of AI will be shared widely or feed inequality.

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Joining the battle against health care bias

Leo Anthony Celi invites industry to broaden its focus in gathering and analyzing clinical data for every population.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Ethics Faculty Human-computer interaction Interview Language machine learning MIT Schwarzman College of Computing Natural language processing School of Engineering Technology and society

3 Questions: Jacob Andreas on large language models

The CSAIL scientist describes natural language processing research through state-of-the-art machine-learning models and investigation of how language can enhance other types of artificial intelligence.