AI 伦理、不可能定理与取舍

AI Ethics, Impossibility Theorems and Tradeoffs - Chris Stucchio | Crunch 2018

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AI 翻译，未经编辑审核

原视频 ↗

讲什么

Chris Stucchio 用信贷、犯罪学与教育例子，说明算法公平原则之间的定量取舍。

HN 网友推荐理由

HN 网友推荐理由：在算法偏差讨论中，用来说明程序公平、群体公平与最大效用难以兼得。

摘要与推荐理由由 HackerTube 用 AI 生成，大榕 AI 翻译整理，未经编辑审核。

视频数据来源：HackerTube（https://hackertube.org），基于 Hacker News 社区推荐整理，依 ODC-By 1.0（https://opendatacommons.org/licenses/by/1-0/）许可使用。筛选与中文整理：大榕 darong.ai。

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Title

AI Ethics, Impossibility Theorems and Tradeoffs - Chris Stucchio | Crunch 2018

Summary

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.

Why HN

HN cites it in algorithmic-bias threads for the impossibility result that an algorithm cannot be procedurally fair, group fair and maximally useful at once.