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.
“We need to both ensure humans reap AI’s benefits and that we don’t lose control of the technology,” says senior Audrey Lorvo.
The consortium will bring researchers and industry together to focus on impact.
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.
The MIT senior will pursue graduate studies in the UK at Cambridge University and Imperial College London.
SERC Scholars from around the MIT community examine the electronic hardware waste life cycle and climate justice.
Nobel laureate Daron Acemoglu has long studied technology-driven growth. Here’s how he’s thinking about AI’s effect on the economy.
Marzyeh Ghassemi works to ensure health-care models are trained to be robust and fair.
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.
Researchers find large language models make inconsistent decisions about whether to call the police when analyzing surveillance videos.
Philosophy doctoral student Abe Mathew is both studying philosophy and questioning some of its deeply-held ideas.
The conversation in Kresge Auditorium touched on the promise and perils of the rapidly evolving technology.
Doctoral student and recent MAD Design Fellow Jonathan Zong SM ’20 discusses a proposed framework to map how individuals can say “no” to technology misuses.
MIT CSAIL postdoc Nauman Dawalatabad explores ethical considerations, challenges in spear-phishing defense, and the optimistic future of AI-created voices across various sectors.
Political science and physics major Leela Fredlund wants to ensure fairness and justice prevail in humanity's leap into space.
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.