logo
Loading...
People see more of their biases in algorithms
PsychologyPNAS

People see more of their biases in algorithms

B. Celiktutan, R. Cadario, et al.

People perceive more of their own biases (e.g., age, gender, race) in algorithmic decisions than in their own—even when the algorithm is trained on their exact choices and they are incentivized to be truthful. Those with a stronger bias blind spot especially saw more bias in algorithms and were likelier to make debiasing corrections to algorithm-attributed decisions. Research conducted by Begum Celiktutan, Romain Cadario, and Carey K. Morewedge.... show more
Introduction
Literature Review
Methodology
Key Findings
Discussion
Conclusion
Limitations
Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 22+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny