Harvard Business Review September 29, 2023
Simon Friis, James Riley

Summary: When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable AI, we need to consider three forces through which it might make society more or less equal: technological forces, supply-side forces, and demand-side forces. The last of these is particularly underemphasized. The use of AI in a product can change how much customers value it — for example, patients who put less stock in an algorithmic diagnosis — which in turn can affect how that product is used and how those working alongside it are compensated.

From automating mundane tasks to pioneering breakthroughs in healthcare, artificial intelligence...

Today's Sponsors


Today's Sponsor


Topics: AI (Artificial Intelligence), Equity/SDOH, Healthcare System, Technology
Meta publicly launches AI image generator trained on your Facebook, Instagram photos
Generative AI Transforms Nurse Hiring Experience on Incredible Health Platform
AI’s Role in Transforming Healthcare
Insilico Medicine Launches First-in-Human Trial for AI-Discovered IBD Drug
IBM was early to AI, then lost its way. CEO Arvind Krishna explains what's next

Share This Article