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 https://www.facebook.com/computerphile https://twitter.com/computer_phile 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