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.
From MIT Sloan experts, practical guidance for launching ventures, shaping strategy, and making innovation work.
Assistant Professor Manish Raghavan wants to teach his students how to make good business decisions about deploying (or not deploying) AI-based products and services.
U.S. manufacturing productivity remains flat despite an uptick in new factory and workforce growth in recent years. MIT experts suggest three solutions.
Are you experimenting with artificial intelligence, or are you “AI future-ready”? A new model maps four stages of enterprise AI maturity.
Artificial intelligence can be useful in the workplace, but humans have to first define what success looks like, according to MIT Sloan’s Danielle Li.
