A new method for surgically removing training examples from a model reveals that as datasets grow, the link between what a model learns and what it produces dissolves.

Philosopher Brian Hedden studies decision-making over time — and recently chose to return to alma mater MIT, where he is now connecting ethics and computing.

Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.

Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs.

PhD student Rachel Sava, winner of the Envisioning the Future of Computing Prize, explores transformative improvements and dystopian risks of neural technology.