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Library / TED Talks / TED
Back to LibraryHow I'm fighting bias in algorithms
Buolamwini demonstrates how dataset and evaluation failures become asymmetric real-world harm, especially when face and identity systems are operationalized in high-stakes settings. The talk connects technical error patterns to structural accountability gaps.
Video
Why this matters
In the sAIfe Hands map, this is a core harms anchor: it grounds alignment discourse in present-day deployment externalities. It helps teams audit not only model performance, but also who bears error costs and who has recourse.
Perspective map
For band and lens definitions, scoring, and counterbalance: see the Perspective Map Framework in Library methodology.
Risk-forward leaning, primarily in the Society lens. Evidence mode: interview. Confidence: high.
- - Emphasizes alignment
- - Emphasizes public harms
- - Emphasizes harms
References
Related podcasts
Related figures
- Joy Buolamwini
- Timnit Gebru
- Margaret Mitchell
Explore further
Your right to mental privacy in the age of brain-sensing tech
Farahany argues that brain-sensing technologies move AI-era governance into a new domain: mental privacy. She frames cognitive liberty as a rights architecture question that must be settled before sensing systems normalize.
Beware online "filter bubbles"
Pariser's filter-bubble thesis explains how personalized ranking environments fragment epistemic common ground and weaken the shared factual substrate required for democratic reasoning.
Counterbalance on this topic
Ranked with the mirror rule in the methodology: picks sit closer to the opposite side of your score on the same axis (lens alignment preferred). Each card plots you and the pick together.
Lex Fridman Podcast
#474 – DHH: Future of Programming, AI, Ruby on Rails, Productivity & Parenting
Auto-discovered from Lex Fridman Podcast. Editorial summary pending review.
Spectrum vs this page
Offset on the spectrum so you can compare how risks and upsides are weighted. Mixed · Society lens.
Spectrum trail (transcript)
Med 0 · avg -0 · 346 segs
AXRP
Learning Human Biases with Rohin Shah
Auto-discovered from AXRP. Editorial summary pending review.
Spectrum vs this page
Offset on the spectrum so you can compare how risks and upsides are weighted. Mixed · Society lens.
Spectrum trail (transcript)
Med 0 · avg -3 · 53 segs
Future of Life Institute Podcast
how ai hacks your brain s attachment system with zak stein
Auto-discovered from Future of Life Institute Podcast. Editorial summary pending review.
Spectrum vs this page
Offset on the spectrum so you can compare how risks and upsides are weighted. Mixed · Society lens.
Spectrum trail (transcript)
Med 0 · avg -3 · 102 segs
Outbound source
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