From Transport Evolved.
Recently the headlines have been filled with concerns about whether machine learning used in autonomous vehicles may be putting some groups of pedestrians at risk. It tracks back to a paper published back in 2019 – but what does that paper say?
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00:00 – Introduction
00:55 – Editorial Note
01:10 – Where we’re at now with Driver Assistance
03:10 – How does machine learning fit in?
04:46 – What does the paper say?
07:07 – Caveats
08:10 – How did they test?
10:10 – What did they find?
11:09 – Why does this happen, and how can we fix it?
13:37 – Thanks and Credits
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Script, Presenter, Audio: Kate Walton-Elliott
Camera, Editor, Colorist: Kate Walton-Elliott
Art and Animation: Erin Carlie
Producer: Nikki Gordon-Bloomfield
© Transport Evolved LLC, 2023
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Linked Papers / Resources:
https://arxiv.org/abs/1902.11097 ← main paper
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4843483/
https://psyarxiv.com/nky37/download?format=pdf
https://psycnet.apa.org/doiLanding?doi=10.1037%2Fxge0000600
https://www.sciencedirect.com/science/article/abs/pii/S1526590015005969
http://arpansa.gov.au/sites/default/files/legacy/pubs/Radiation
https://reporter.rit.edu/tech/bigotry-encoded-racial-bias-technology
Why Amazon’s Automated Hiring Tool Discriminated Against Women
https://www.science.org/doi/10.1126/science.aal4230
https://blogs.microsoft.com/blog/2016/03/25/learning-tays-introduction/
https://psycnet.apa.org/record/2018-03783-002
https://reporter.rit.edu/tech/bigotry-encoded-racial-bias-technology
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