Human-computer interaction
Human-computer interaction

The benefits of medical AI assistance vary based on user expertise

Study finds non-experts deferred to LLM-based diagnostic assistance, even when it was wrong, while clinicians caught AI errors.

Daniela Rus receives Bavarian Minister-President’s High-Tech Prize

Director of CSAIL and MIT professor honored for her contributions to robotics, artificial intelligence, and autonomous systems.

Working to automate nuclear plant operations

PhD student Lauren Fortier is building on the experience she gained operating a nuclear plant for the Navy to solve a critical hurdle in the wider adoption of the energy source.

3 Questions: Neural transparency and the future of AI design

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.

New method aims to keep kids safe from illegal AI-generated content

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

Toward a future that preserves benefits of neurotechnology for all

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

Q&A: What is agentic AI today, and what do we want it to be?

Computer scientist Phillip Isola cuts through the hype to explain how AI agents work and what the future might hold for this rapidly advancing technology.

Inaugural Music Technology Research Showcase celebrates work of new graduate program’s initial students

Associate Professor Anna Huang delivers the keynote address, “In Search of Human-AI Resonance,” to a capacity crowd.

In game theory, generalists sometimes win out over specialists

Researchers show that for certain kinds of games, an overlooked class of algorithms performs much better than expected.

When it comes to predicting people’s preferences, it pays to consider “the power of three”

MIT researchers provide a major upgrade to the nearly century-old idea of random utility models.