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Important work is happening in *Participatory ML* and in recognizing that AI ethics is about the *distribution of power*. I want to create a thread linking to some of this work 1/ https://twitter.com/math_rachel/status/1284168523841847297?s=20
Don’t ask if artificial intelligence is good or fair, ask how it shifts power. @radical_ai_'s essay in Nature is a great place to start: 2/ https://twitter.com/math_rachel/status/1284955972662747136?s=20
Also check out @radical_ai_'s talk from @QueerinAI #NeurIPS2019 on how ML shifts power, and on the questions we should be asking ourselves: 3/ https://twitter.com/math_rachel/status/1274910551219425282?s=20
The Participatory Approaches to ML workshop at #ICML2020 was fantastic. I will share several talks & papers from it below 4/ https://twitter.com/math_rachel/status/1284168522629697536?s=20
Beyond Fairness & Ethics: Towards Agency & Shifting Power by @JamelleWD of @Data4BlackLives, on the power imbalances in ML 5/ https://twitter.com/math_rachel/status/1284189820143587328?s=20
*Recourse* is a more useful idea than *explainability*, for giving people options to change the outcomes that impact them @berkustun 6/ https://twitter.com/math_rachel/status/1284183451277508608?s=20
*Contestability* is more useful than *transparency*, for giving people a way to critically engage with ML systems & to challenge them @cephaloponderer @alexhanna 7/ https://twitter.com/math_rachel/status/1284664916712935424?s=20
High predictive accuracy is often the focus of ML, yet it is rarely equivalent to good decision-making in complex, real world problems @achould 8/ https://twitter.com/math_rachel/status/1284180743531319296?s=20
Even when creators of recommendation systems try to address problems like harassment & disinfo, they do not offer much in the way of participation or control for users or communities that are impacted: @jonathanstray 9/ https://twitter.com/math_rachel/status/1283249233613619200?s=20
Machine learning systems need to be developed in concert together with complementary policy changes @achould 10/ https://twitter.com/math_rachel/status/1284199223282434048?s=20
The relationship between surveillance technologies & power is clear. 11/ https://twitter.com/math_rachel/status/1274913731240067072?s=20
