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First keynote of
#AIES2020@FrankPasquale "Machines Judging Humans"pic.twitter.com/B47Va0Kund
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Melissa McCradden points out how definition of fairness in AI in health care fails to include downstream consequences for patients
#AIES2020 pic.twitter.com/vHJAUY2TMa
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Flattered to get a reference at
#AIES2020 from@FrankPasquale (+ a notable difference between descriptive and prescriptive assessments of these metaphors: lead paint and plutonium are both horrendously toxic, instructive to consider why and how one was controlled, the other not.https://twitter.com/michaelzimmer/status/1225786436705800192 …
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Day 1 of
#AIES#AIES2020 starts with a keynote from@FrankPasquale : "Machines Judging Humans: The Promise and Perils of Formalizing Evaluative Criteria"pic.twitter.com/8T6KIrTuSq
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UBC grad
@sinafazelpour (SSHRC postdoc at CMU) will be presenting his recent work, "Algorithmic Fairness from a Non-ideal Perspective", (co-authored with@zacharylipton) at the conference on Artificial Intelligence, Ethics and Society (#AIES2020) in New York tomorrow, Feb 8th. -
Interesting presentations on fairness at
#AIES2020 pic.twitter.com/ADEzIeAWhN
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Next up is
@MMccradden on “When your only tool is a hammer: ethical limitations of computational fairness solutions in healthcare machine learning”#AIES2020 pic.twitter.com/8akMuxaX02
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Bummed not to be at
#AIES2020, but please say hello to@LifeofNoods and talk to her about our paper "More Than 'If Time Allows': The Role of Ethics in AI Education"! https://cmci.colorado.edu/~cafi5706/AIES_EthicsEducation.pdf … -
Here at
#AIES2020 off to a fantastic start with@FrankPasquale framing issues of algorithmic accountability in political economics and offering valuable experience to think through strategies to support those who are reforming AND those who are critiquing algorithmic systems.Prikaži ovu nit -
The Agony of Scoring:
@FrankPasquale highlights challenges in using AI for hospital scoring: can we perfect algorithmic systems to rate hospitals and would low resource areas continue doing worse in a score driven system?#AIES2020 pic.twitter.com/0VD4PXo49y
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If you can't be there along with us today at
#AIES2020 --@eripsa livetweeting is the next best thing :)#AIEShttps://twitter.com/eripsa/status/1225499999271825411 … -
Much of the AI (including AI fairness and ethics) work would radically improve or disappear if this Weizenbaum insight was to be taken on board. This is what's going through my head as I sit here listening to some
#AIES2020 presentations https://twitter.com/Abebab/status/1215230918266408968 … -
Opening keynote at
#AIES2020: Charlton McIlwain, Computerize the Race Problem? Why We Must Plan for a Just AI Future pic.twitter.com/Jmp5HbZ4ec – mjesto: NYU Cantor Film Center
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Folks at or following
#AIES2020 interested in standards for interdisciplinarity and review, here is a poll: In 2020, technical work implementing a fairness metric should include social science/participatory methods/contextual evidence to inform the formulation of the metric -
Just arrived in NYC for
#AAAI20#AIES2020. Looking forward to presenting our work (with@zacharylipton) on Saturday. We’re in Paper Session 6: Fairness & Value Alignment. Come to the talk if you’re around! Here’s a link to the paper: http://arxiv.org/abs/2001.09773 -
Our paper on
#dataannotation for#fairML has just been presented at#AIES2020!
https://twitter.com/gunaykazimzade/status/1225828837713481728 …
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Six papers were published this at year’s
#aies2020 conference by FHI researchers, affiliates and collaborators.@baobaofzhang Aaron Tucker@TShevlane@Cullen_OK@carinaprunkl and@matthijsMmaas are there to present. Summaries & links follow. [1/7]
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