To improve AI adoption in your organization, pay attention to both capability and personalization, new research suggests.
Akamai CTO Robert Blumofe offers four tips for business leaders striving to empower employees with the right tools and best use cases.
MIT’s Daron Acemoglu, David Autor, and Simon Johnson make the case for federal policies to encourage the development of AI that complements workers.
Strategic advice on empowering your workforce to master new technologies and navigate evolving risks in a new landscape.
When professionals try to validate outputs, generative AI often responds not with corrections or candor but with escalating persuasion tactics.
Impact: AI-driven, Personalized Transparent Decision-support Tool Enables Improved Treatment Decisions
Organizations have options when it comes to using or adapting off-the-shelf large language models to handle tasks or business use cases.
Henna Karna, EMBA ’18, discusses her journey through academia and her professional career, reflecting on how MIT Sloan's unique mix of quantitative and qualitative learning has influenced her work.
New research shows that people are more likely to trust complicated machine learning models over models that they’re able to understand and troubleshoot.
Organizations are struggling to succeed with AI. Research from the MIT Center for Information Systems Research shows common mistakes and how to overcome them.
