Paper by Andrew Caplin: “We use a controlled experiment to show that ability and belief calibration jointly determine the benefits of working with Artificial Intelligence (AI). AI improves performance more for people with low baseline ability. However, holding ability constant, AI assistance is more valuable for people who are calibrated, meaning they have accurate beliefs about their own ability. People who know they have low ability gain the most from working with AI. In a counterfactual analysis, we show that eliminating miscalibration would cause AI to reduce performance inequality nearly twice as much as it already does…(More)”.
The ABC’s of Who Benefits from Working with AI: Ability, Beliefs, and Calibration
How to contribute:
Did you come across – or create – a compelling project/report/book/app at the leading edge of innovation in governance?
Share it with us at info@thelivinglib.org so that we can add it to the Collection!
About the Curator
Get the latest news right in your inbox
Subscribe to curated findings and actionable knowledge from The Living Library, delivered to your inbox every Friday
Related articles
Design Thinking
INSTITUTIONAL INNOVATION
Open Innovation
Better Questions, Better Insights
Posted in May 8, 2026 by Stefaan Verhulst
DATA
Open Data
Bad government statistics can cost the economy billions
Posted in May 8, 2026 by Stefaan Verhulst
Artificial Intelligence
DATA
“Where Do I Start?”: How Governments Can Prioritise AI Solutions for Health
Posted in May 8, 2026 by Stefaan Verhulst