AI Ethics, Impossibility Theorems and Tradeoffs - Chris Stucchio | Crunch 2018
CraftHub Events
Why leaders watch it
Shows that fairness criteria in algorithmic decisions conflict mathematically, a lesson on explicit tradeoffs in policy.
Chris Stucchio presents the ethical principles behind algorithmic decision making and shows with examples from lending, criminology and education that they cannot all be satisfied at once. The talk frames AI fairness as a set of quantitative tradeoffs.
Topics: Decision making & mental models, Ethics & character
Related
- Days to Seconds: Harnessing Confidential AI Agents with Kellie Romack · Opaque Systems, Inc.
- "Deep Unlearning": Timnit Gebru on AI Hype, Ethics & Algorithmic Racial Bias · Democracy Now!
- Leadership, Culture, and Ethics in Cybersecurity · Dr. Mansur Hasib - #DrCybersecurity
- Kellie Romack on how ServiceNow Generated $355M in AI Value | Technovation 1062 · Metis Strategy
- Coexisting with AI: Can We Get It Right? A Talk by Stuart Russell · Yardi ScAI
- The Quest for Ethical Artificial Intelligence | Timnit Gebru || Harvard Radcliffe Institute · Harvard Radcliffe Institute
- Stanford Seminar - Unethical Algorithms of Massive Scale · Stanford Online
- Teddy Talks - Citizenship in a Republic (includes The Man in the Arena) · MedoraND
- How Agentic AI Changes The Workplace — With Jacqui Canney and Kellie Romack · Alex Kantrowitz
- Kellie Romack on ServiceNow's $355M AI Transformation | From 4 Days to 8 Seconds · CAIO AI Leadership Podcast
- Is AI Safety a Pascal's Mugging? · Robert Miles AI Safety
- AWS re:Invent 2019: Optimizing Aerospace manufacturing operations & supply chain with AWS (MFG201) · AWS Events
