18. Oktober 2026

ÜBER DIESE EPISODE

Defining Harm for Ai Systems - Computerphile

How do we measure harm to improve the performance of Ai in the real world? Dr Hana Chockler is a Reader in Computer Science at King’s College London.

EXTRA BITS: https://youtu.be/ThGSvYXnMK0

Links from Hana:

title: A Causal Analysis of Harm. authors: Sander Beckers, Hana Chockler, Joe Halpern. conference: NeurIPS'22. link: https://proceedings.neurips.cc//paper_files/paper/2022/hash/100c1f131893d3b4b34bb8db49bef79f-Abstract-Conference.html

title: Quantifying Harm. authors: Sander Beckers, Hana Chockler, Joe Halpern. conference: IJCAI'23. link: https://arxiv.org/abs/2209.15111

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This video was filmed and edited by Sean Riley.

Computer Science at the University of Nottingham: https://bit.ly/nottscomputer

Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com

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