Can you Build Algorithmic Justice?
summary
Claims land on concrete examples and fixes not slogans: ChatGPT shows gendered performance reviews, Amazon’s hiring tool learns male preference from 2004–2014 CVs and is abandoned, facial recognition helps incarcerate Robert Williams with tools that misidentify Black people 10–100× more often, frontier models scrape Global North data bias, and a pragmatic stack appears—data cards, AI governance plus definition of done, audits, thought diversity and human validation.
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chapters (13)
- 0:00Introduction
- 1:51Algorithmic justice importance
- 7:11Bias in AI systems
- 9:43Algorithmic injustice cases
- 13:22Ethical AI governance
- 18:00Moral AI tools
- 20:31Ethical AI resources
- 21:13Data bias in AI
- 23:18AI manipulation risks
- 25:03Democracy protection from AI
- 26:27AI validation with users
- 28:15AGI versus current AI harms
- 29:20Human cost of AI bias
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