April 12, 2023, 8:55 p.m. | Rachel Gordon | MIT CSAIL

MIT News - Machine learning news.mit.edu

Experts convene to peek under the hood of AI-generated code, language, and images as well as its capabilities, limitations, and future impact.

academics algorithms artificial intelligence code computer science and technology discuss education ethics experts future generated generative human-computer interaction images impact language machine learning mit mit csail mit schwarzman college of computing researchers school of engineering special events and guest speakers teaching technology and society

More from news.mit.edu / MIT News - Machine learning

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne