Defining Harm for Ai Systems - Computerphile @Computerphile
Defining Harm for Ai Systems - Computerphile  @Computerphile
Uploaded July 2023 | Updated September 2026, 3 weeks ago
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: youtu.be/ThGSvYXnMK0

Links from Hana:

title: A Causal Analysis of Harm. authors: Sander Beckers, Hana Chockler, Joe Halpern. conference: NeurIPS'22. link: 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: 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: bit.ly/nottscomputer

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Defining Harm for Ai Systems - Computerphile

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