Ethics
Ethics

Ethics

Artificial Intelligence Classes and programs Computer science and technology Education, teaching, academics Electrical engineering and computer science (EECS) Ethics Humanities Internet machine learning MIT Schwarzman College of Computing Philosophy Privacy School of Humanities Arts and Social Sciences STEM education Technology and policy Technology and society

Bridging philosophy and AI to explore computing ethics

In a new MIT course co-taught by EECS and philosophy professors, students tackle moral dilemmas of the digital age.

Artificial Intelligence D-Lab Economics Electrical engineering and computer science (EECS) Ethics International development MISTI MIT Schwarzman College of Computing Profile Safety School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences Students Technology and policy Undergraduate Urban studies and planning

Aligning AI with human values

“We need to both ensure humans reap AI’s benefits and that we don’t lose control of the technology,” says senior Audrey Lorvo.

Artificial Intelligence Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Ethics Funding Human-computer interaction Industry Innovation and Entrepreneurship (I&E) Labor and jobs MIT Schwarzman College of Computing MIT Sloan School of Management Open access open source Privacy Research School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Semiconductors Technology and policy Technology and society

Introducing the MIT Generative AI Impact Consortium

The consortium will bring researchers and industry together to focus on impact.

Artificial Intelligence Behavior Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Ethics Health Care Health sciences and technology Human-computer interaction Institute for Medical Engineering and Science (IMES) Jameel Clinic Mental health MIT Schwarzman College of Computing Race and gender Research School of Engineering social media Technology and society

Study reveals AI chatbots can detect race, but racial bias reduces response empathy

Researchers at MIT, NYU, and UCLA develop an approach to help evaluate whether large language models like GPT-4 are equitable enough to be clinically viable for mental health support.

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Lara Ozkan named 2025 Marshall Scholar

The MIT senior will pursue graduate studies in the UK at Cambridge University and Imperial College London.

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What do we know about the economics of AI?

Nobel laureate Daron Acemoglu has long studied technology-driven growth. Here’s how he’s thinking about AI’s effect on the economy.

Artificial Intelligence Computer science and technology Electrical engineering and computer science (EECS) Ethics Faculty Health Care Health sciences and technology Institute for Medical Engineering and Science (IMES) Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Profile Race and gender School of Engineering

Improving health, one machine learning system at a time

Marzyeh Ghassemi works to ensure health-care models are trained to be robust and fair.

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.

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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.