Experts say those making decisions about AI should engage proactively with policymakers and consider worker voice and well-being.
A McKinsey expert shares insights on what it takes to turn generative AI’s promise into tangible business value.
Charles E. and Susan T. Harris Professor, Professor, Finance, Director, Laboratory for Financial Engineering
The AI Risk Repository, a database of over 700 risks posed by AI, aims to provide a shared framework for monitoring and maintaining AI risk oversight.
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.
New MIT Sloan research offers a framework of human-intensive capabilities and a set of metrics to evaluate tasks across all occupations and better understand the effects of AI on the labor market.
Hackathon is open to the public and will take place November 6-8, 2020
Introducing “targeted friction” into AI workflows can improve overall accuracy and reduce uncritical adoption.
A study of consultants found that employees use generative AI three different ways. Each has different implications for on-the-job learning.
Impact: AI-driven, Personalized Transparent Decision-support Tool Enables Improved Treatment Decisions
