Algorithmic Bias

concepts · 19 notes linked

Related: AI Ethics · Machine Learning · Predictive Analytics · Timnit Gebru · AI Safety · Responsible AI · University Of Chicago · Predictive Policing

Notes

• AI Debate 2: Night of a thousand AI scholars — Sixteen scholars debate moving AI beyond deep learning
• Algorithm predicts crime a week in advance, but reveals bias in police response — ML model predicts urban crime 90% accurately while exposing police enforcement bias
• Algorithmic Dictatorship — Critical essay arguing algorithms enable authoritarian social control
• Artificial Intelligence Is Misreading Human Emotion — Flawed universal emotion theory underpins commercial AI affect recognition
• Elon Musk Has Fired Twitter's 'Ethical AI' Team — Elon Musk eliminates Twitter's ML Ethics, Transparency, and Accountability team
• Examining The History, Consequences, and Effects of Race-Based Clinical Algorithms on Health Equity: A Workshop — National Academies workshop on racial bias in health prediction algorithms
• Google AI Zones Out While Being Trained On Mandatory Racial Sensitivity Data Set — Satirical piece mocking AI bias training and AI overconfidence
• How structural racism plays a role in lowering credit scores — How historical structural racism gets embedded in credit-scoring systems
• How the Pandemic Made Algorithms Go Haywire — COVID-19 distribution shift caused healthcare and finance ML algorithms to fail
• Major Universities Are Using Race as a "High Impact Predictor" of Student Success – The Markup — EAB Navigate advising software uses race to predict student dropout risk
• PitchBook's new tool uses AI to predict which startups will successfully exit | TechCrunch — ML startup exit predictor accuracy claims and embedded bias risks
• SFPD put rape victims' DNA into database used to find criminals, DA alleges — SFPD crime lab misused rape kit DNA to identify crime suspects
• Sendhil Mullainathan, "Discrimination by Algorithm and People" | University of Chicago Law School — Algorithms can reduce discrimination but require explicit equity objectives and correct labels
• Stop talking about AI ethics. It's time to talk about power. — Kate Crawford argues AI must be analyzed as material power, not just ethics
• Texas A&M Drops "Race" from Student Risk Algorithm Following Markup Investigation – The Markup — University drops race variable from student dropout risk algorithm after bias investigation
• The Reputational Risks of AI — Framework for diagnosing and responding to AI reputational failures
• These Women Tried to Warn Us About AI — Women researchers warned of AI bias harms
• U of Texas will stop using controversial algorithm to evaluate Ph.D. applicants — ML admissions tool encodes historical bias in PhD candidate selection
• Unraveling Techno-Solutionism: How I Fell out of Love with "Ethical" Machine Learning — Critique of naive belief that technology inherently solves societal problems