The damage AI algorithms cause is not easily remedied. Breaking algorithmic harms into four categories results in pieces that better align with the law and points the way to better regulation.

The technique could make AI systems better at complex tasks that involve variability.

The Tree-D Fusion system integrates generative AI and genus-conditioned algorithms to create precise simulation-ready models of 600,000 existing urban trees across North America.

RealPage, Inc. provides software that lets landlords keep rental prices high. The Justice Department cried foul on the price-fixing practice.

By sidestepping the need for costly interventions, a new method could potentially reveal gene regulatory programs, paving the way for targeted treatments.

Researchers show that even the best-performing large language models don’t form a true model of the world and its rules, and can thus fail unexpectedly on similar tasks.

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.

MIT engineers’ algorithm may have wide impact, from forecasting climate to projecting population growth to designing efficient aircraft.

AI will feature in future Nobel prizes as scientists exploit the power of this technology for research.

MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy.