AI pareidolia: Can machines spot faces in inanimate objects?

MIT CSAIL researchers have introduced a human-labeled dataset of pareidolic faces found in everyday objects, revealing key differences between human and AI face detection and discovering a mathematical “Goldilocks zone” where pareidolia is most likely to...

Introducing the MIT Generative AI Impact Consortium

The MIT Generative AI Impact Consortium is a collaboration between MIT, founding member companies, and researchers across disciplines who aim to develop open-source generative AI solutions, accelerating innovations in education, research, and industry.Powered by...

What do we know about the economics of AI? – MIT News

Since much economic growth comes from tech innovation, the way societies use artificial intelligence is of keen interest to MIT Institute Professor Daron Acemoglu, who has published several papers on AI economics in recent months.Powered by...