How to spot real value in AI — and avoid the snake oil
A new book aims to help business leaders separate real AI value from overhyped claims.
A new book aims to help business leaders separate real AI value from overhyped claims.
When presented with the same prompt in different languages, generative AI provides culturally distinct responses.
A new survey shows firms are falling short in developing AI systems that are good for individuals and society while still transforming business.
Health care, and helping hands for those with limited resources.
As AI capabilities advance, the window for shaping whether the technology augments or replaces workers is narrowing. Decision makers need to step up, MIT researchers say.
MIT study explores the key factors behind patient outcomes in clinical trials evaluating new treatments for non-small-cell lung cancer.
In their new book, “Power and Progress,” Daron Acemoglu and Simon Johnson ask whether the benefits of AI will be shared widely or feed inequality.
Adela Jamal, SFMBA ’22, and Sebastian Barriga, SFMBA ’22, talk about their journey from diverse global careers to launching an applied AI-focused venture fund.
New MIT Sloan Management Review insights cover types of AI startups, using agentic AI tools for knowledge work, and why AI isn't boosting productivity.
Six illustrations we loved this year.