Made to Measure? The Biases and Boundaries of Biometrics
summary
A sweep from 19th‑century phrenology and Galton’s eugenics to modern sensor stacks shows how measuring bodies keeps slipping into social control: employers used Ovia Health to monitor employees’ menstrual cycles (2019), companies like Faception sell personality claims from photos, and a Stanford paper claimed machines could read sexual orientation from faces. Practical tools discussed include iPhone TrueDepth cameras, ResearchKit, Apple Watch and Fitbit; consumer sensors show failures (Microsoft Band heart‑rate errors, Fitbit green‑light bias vs. darker skin). GDPR constrains misuse but ethical frameworks lack binding enforcement.
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chapters (15)
- 0:00Introduction
- 5:19Biometrics
- 13:18Popular Entertainment
- 18:48User Input Data
- 26:29Knowing What We Know
- 26:56Ethical Frameworks
- 27:53Five Focus Points
- 28:39Companies Fire People
- 29:05GDPR
- 30:20Bill of Rights
- 30:37Time Poor
- 31:00Contribute
- 31:42Unions
- 33:11Resources
- 34:28Sherlock Holmes
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