Emerging insights suggest road maps, policy recommendations, and calls for action regarding generative artificial intelligence.
A study of consultants found that employees use generative AI three different ways. Each has different implications for on-the-job learning.
Generative AI’s broad accessibility and applicability make it a vital tool for businesses — but those traits can also cause trouble when upskilling employees.
From MIT Sloan experts, innovative ideas for using artificial intelligence to solve critical business problems and deliver on strategy.
To realize the greatest gains from artificial intelligence, we must make the future of work more human, not less.
The age of agentic AI — systems that are semi- or fully autonomous and can act on their own — has arrived. Here’s what you need to know, according to MIT experts.
When professionals try to validate outputs, generative AI often responds not with corrections or candor but with escalating persuasion tactics.
A report from the MIT Working Group on Generative AI & the Work of the Future identifies three principles and seven outcomes that ensure that jobs are better, not just faster, with AI.
MIT Sloan School of Management course offerings like AI-Augmented Work, Defense and Dual-Use Ventures, and Leading Agentic AI Transformation in Organizations anticipate businesses’ future needs.
Download the MIT COVID-19 Policy Alliance’s new report for nursing facility leaders and policymakers.
