Research Recap

Beyond Algorithm Aversion: How Performance Expectations Shape Adoption

Key Takeway

Predictive algorithms are evaluated by how they align with people’s decision goals. Experts and lay people may define “good performance” differently. Algorithms may meet lay expectations for near-perfect predictions in deterministic domains but fail elsewhere. Generative AI’s success in writing, creating art, and related tasks may facilitate wider adoption of algorithms.

By using MSI.org you agree to our use of cookies as identifiers and for other features of the site as described in our Privacy Policy.