Ethics
Ethics

Ethics

Algorithms Artificial Intelligence Data Electrical engineering and computer science (EECS) Equity and inclusion Ethics IDSS machine learning MIT Schwarzman College of Computing MIT Sloan School of Management Open access Policy Racism Research School of Engineering Social justice Social sciences Technology and policy

Empowering systemic racism research at MIT and beyond

Researchers in the MIT Initiative on Combatting Systemic Racism are building an open data repository to advance research on racial inequity in domains like policing, housing, and health care.

Algorithms Artificial Intelligence Computer science and technology Data Ethics Human-computer interaction IDSS Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Research School of Engineering Video

Study: AI could lead to inconsistent outcomes in home surveillance

Researchers find large language models make inconsistent decisions about whether to call the police when analyzing surveillance videos.

Artificial Intelligence Business and management Careers Community Ethics History of science Human-computer interaction Innovation and Entrepreneurship (I&E) Invention Labor and jobs machine learning MIT Schwarzman College of Computing MIT Sloan School of Management President Sally Kornbluth School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Special events and guest speakers Sustainability Technology and society

President Sally Kornbluth and OpenAI CEO Sam Altman discuss the future of AI

The conversation in Kresge Auditorium touched on the promise and perils of the rapidly evolving technology.

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

3 Questions: What you need to know about audio deepfakes

MIT CSAIL postdoc Nauman Dawalatabad explores ethical considerations, challenges in spear-phishing defense, and the optimistic future of AI-created voices across various sectors.

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Doctors have more difficulty diagnosing disease when looking at images of darker skin

Dermatologists and general practitioners are somewhat less accurate in diagnosing disease in darker skin, a new study finds. Used correctly, AI may be able to help.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Ethics Government Health sciences and technology Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Policy School of Engineering Special events and guest speakers Technology and society

What to do about AI in health?

Although artificial intelligence in health has shown great promise, pressure is mounting for regulators around the world to act, as AI tools demonstrate potentially harmful outcomes.

Aeronautical and astronautical engineering Artificial Intelligence Aviation Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Digital technology Electrical Engineering & Computer Science (eecs) Ethics Health Care Institute for Medical Engineering and Science (IMES) Jameel Clinic machine learning MIT Schwarzman College of Computing School of Engineering Technology and policy Technology and society

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.

Algorithms Artificial Intelligence Biology Civil and environmental engineering Comparative Media Studies/Writing Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology DMSE EAPS Education, teaching, academics Electrical Engineering & Computer Science (eecs) Ethics Faculty health Laboratory for Information and Decision Systems (LIDS) machine learning Media Lab MIT Morningside Academy for Design MIT Schwarzman College of Computing MIT Sloan School of Management Robotics School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Special events and guest speakers Staff Students Technology and society

MIT Generative AI Week fosters dialogue across disciplines

During the last week of November, MIT hosted symposia and events aimed at examining the implications and possibilities of generative AI.

Artificial Intelligence Arts Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) Ethics Human-computer interaction IDSS Labor and jobs Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing School of Engineering

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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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.