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

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Equity/SDOH, Healthcare System, Technology
The case for human-centered AI
European Commission Approves Nvidia’s Proposed Acquisition of Run:ai
How Health Systems Can Collaborate on AI Tools
The Future Talent Equation: How To Identify And Retain Talent In The Age Of AI
A Roadmap For AI In Education: Turning Disruption Into Opportunity

Share This Article