In the short term, artificial intelligence systems may be too costly to use for most tasks.
Wharton’s Ethan Mollick and MIT Sloan’s Bill Aulet discuss the ways generative artificial intelligence is remaking the competitive landscape of entrepreneurship.
Using artificial intelligence to enhance data on clinical trial outcomes can help biomedical firms, investors, and — ultimately — patients.
Generative artificial intelligence is a game changer, but it’s not for every task. Here are four ideas to consider from an MIT labor economist.
In a new book about how technology will affect workers, MIT experts explain how AI is far from replacing humans — but still changing occupations.
Research Scientist, Senior Lecturer, Global Economics and Management
A new report from Sloan Management Review and BCG identifies four tensions that organizations must manage when rolling out agentic artificial intelligence.
Artificial intelligence can monitor and improve production and quality control on factory floors. The key is focusing on data, not complex AI systems.
Former Alphabet chairman Eric Schmidt said there should be a balance between regulating artificial intelligence and boosting innovation.
Much has been written about the potential impact of generative AI in the workplace, but the perspective of one set of key stakeholders has often been left out: workers themselves. What’s more, research has found that incorporating the perspective of end users such as workers into the development an...
