THE VIDEO SHELF · algorithmic fairness
AI Ethics, Impossibility Theorems and Tradeoffs - Chris Stucchio | Crunch 2018
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 readers recommended it
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.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- CraftHub Events
- Topic
- algorithmic fairness
- Format
- talk
- Level
- intermediate
- HN recommenders in dataset
- 2
- HN mentions in dataset
- 6
- Recommendation years in dataset
- 2019–2021
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
I was interested in the slide deck and wanted to hear the author expand on some of his thoughts, found a video of his presentation if anyone else is interested. [VIDEO]
dvtrn on Hacker News · 2019-01
In Alexandria Ocasio-Cortez Is Absolutely Right About Racist AlgorithmsIn many unbalanced situations you simply can't have an unbiased decision that's fair across all measures, no matter if the decision is done by a model, a human or a deity; you have to trade off between different types of unfairness. Equality of opportunity for …
PeterisP on Hacker News · 2021-02
In Who Should Stop Unethical A.I.?
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.