MIT Sloan Action Learning - In each project the ultimate goal is to improve the quality of healthcare and patient outcomes.
MIT Sloan School of Management researcher Christian Catalini found that AI can now produce complex work at near-zero cost, but the time it takes a human to check that work is fixed by biology.
A study found that trained LLMs can identify what customers want as well as expert market reach analysts, who are freed up to apply their expertise to high-leverage tasks.
On February 18, 2017, industry experts, engineers, entrepreneurs, venture capitalists, academics and more will gather at the renowned MIT Media Lab for the 2017 MIT Tech Conference.
Work against algorithmic bias and climate change challenges “status quo … preoccupied with reproducing itself.”
Introducing “targeted friction” into AI workflows can improve overall accuracy and reduce uncritical adoption.
Integrating robots into a manufacturing system is often prohibitively expensive. A new approach could change that.
Setting goals, superminds, and saying goodbye to structure.
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.
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.
