Battling Unconscious Bias
summary
45 million people take the Implicit Association Test and the results show big patterns: about 70% of white people and 50% of black people register a preference for white faces, 76% more readily associate able-bodied people with positive words, and 76% link males with careers. Product failures trace the same blind spots: the first iPhone shows 5–10% upside-down videos, early airbags and voice recognition ignore women, Facebook mis-tags darker faces, and hiring experiments like the identical-resume study find male names get far more callbacks.
AI-written summary · about
chapters (14)
- 0:00Intro
- 0:51First Thoughts
- 4:36Implicit Association Test
- 5:31Preferences
- 7:28Terminology
- 8:15Intersectionality
- 8:42Bias is ridiculous
- 9:07Why does it matter
- 9:56Real world examples
- 12:28European sounding names
- 13:40Parentteacher association
- 14:20What can we do
- 16:07How to think about bias
- 17:13What we can do
related talks
26mGender Bias - Identifying the unconscious evil in ourselves...
39mBecoming Conscious of Our Unconscious Bias in Design
24mEliminating Unconscious Biases in Technology Through...
44mBreaking Bias
39mUnconscious Bias' awareness for Diversity and Inclusion
45mBias in Artificial Intelligence
25mNavigating Unconscious Bias
36mThe Surprising Neuroscience of Gender Inequality