Eliminating Unconscious Biases in Technology Through...
summary
Shows concrete fixes and measured effects: an Airbnb test finds 16% higher rejection for African-American–sounding names, so adding fuller profiles and a universal welcome message reduces bias; form fields break real users—two-part first names and gender options need explicit support; validation rules accidentally flag women as “Dr.”; market assumptions miss users like women using on-demand barbers; remedies are targeted user research, diverse test pools, prototyping accessibility, and team composition changes.
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chapters (19)
- 0:00Introduction
- 1:47Unconscious bias in tech
- 3:39Biased user experiences
- 5:23Bias in user personas
- 7:11Barber app case study
- 8:36Diverse teams reduce bias
- 10:24Traits for inclusive teams
- 12:10Reducing bias in interactions
- 13:33Airbnb’s bias strategies
- 14:58Developer bias mistakes
- 16:00AI bias risks
- 16:21Bias in design process
- 17:24Testing persona diversity
- 18:06Inclusive ideation voices
- 19:07Prototyping inclusive design
- 20:33Challenging assumptions
- 21:37Accountability for biased work
- 22:20Empathy for customer experiences
- 22:45Responsible tech design
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