In her new book, computer scientist Joy Buolamwini examines the “power shadows” lurking in the datasets used to train artificial intelligence.
A new MIT Sloan executive education course looks at how organizations need to align “the work, the workforce, and the workplace” to succeed with artificial intelligence.
Microsoft chief scientist Jaime Teevan on why leaders should look beyond productivity gains when evaluating where to deploy generative artificial intelligence.
Theresa Seley Associate Professor in Management Science, Associate Professor, Operations Management
Patrick J. McGovern (1959) Professor of Management, Professor, Information Technology, Director, MIT Center for Collective Intelligence
MIT Institute Professor Daron Acemoglu predicts that artificial intelligence will have a “nontrivial, but modest” effect on GDP in the next decade.
Companies that adopt industrial artificial intelligence see productivity losses before longer-term gains, according to new research.
Companies that intend to use generative artificial intelligence should first consider how people regard work created by AI, humans, or some combination of the two.
The artificial intelligence-powered “DebunkBot” reduced individuals’ belief in conspiracy theories and lessened their conspiratorial mindset, according to a new study.
The “Me, Myself, and AI” podcast examines the creative ways companies use artificial intelligence, like making faster methods for vaccine experiments.
