Top Tweets for #fairAIchi20
RT @michellercarney: So excited to kick off #fairAIchi20 with Min kicking it off with our Welcome from our @sig_chi #CHI2020 #CHIworkshop organizers! check out the site and position papers: https://t.co/LeJWKtlVK8

At #fairAIchi20 @watkins_welcome discussing how human's perception of fairness of an algorithm is influenced by their interaction with (1) other algorithms and (2) the broader socio-technical system the algorithm is embedded in.
#fairAIchi20 @Columbia researchers paper: "The “Crooked Set Up”: Algorithmic Fairness and the Organizational Citizen"
Read the position paper here:
https://t.co/A1mDtAbQ26

@michellercarney @sig_chi @minlee_hci @koriinkpen @adrian_weller @RDBinns Great workshop guys! Thank you for organizing it despite it all! #fairAIchi20
Big thank you to the @sig_chi #fairAIchi20 Fair and Responsible AI Workshop Organizing team! @minlee_hci @koriinkpen @adrian_weller @RDBinns Nina Grgić-Hlača and Michael Tschantz! Thanks all of our participants for such a great virtual workshop!
https://t.co/WqTlwcGKha

#fairAIchi20 @Columbia researchers paper: "The “Crooked Set Up”: Algorithmic Fairness and the Organizational Citizen"
Read the position paper here:
https://t.co/A1mDtAbQ26

Wonderful to participate and feeling #hopeful after learning about all the incredible research in the #fairAIchi20 workshop to prioritize #equity and #justice...thank you to the organizers for putting this session together 🙏🏾 @stanforddschool #10tools4schools
#fairAIchi20 @aamogos from @stanforddschool @Stanford sharing their position paper on "Designing for Digital Agency: Equity Perspectives and AI in K-12 Education" on 10 Tools for 1,000 Schools #10toolsfor1000schools #dschool #stanford
Read it here:
https://t.co/u9XEWhEgqn

#fairAIchi20 From researchers at @seoulnatuniv_rp "How Does Perceived Fairness Differ? Exploring Multicultural Landscape for Ethical AI Design"
Read the paper here:
https://t.co/xTkokDSoYP

#fairAIchi20 @Columbia researchers paper: "The “Crooked Set Up”: Algorithmic Fairness and the Organizational Citizen"
Read the position paper here:
https://t.co/A1mDtAbQ26

#fairAIchi20 @vivwylai presenting @CUBoulder research on "Harnessing Explanations to Bridge AI and Humans"
Read it here:
https://t.co/GaK9uu7hxz

#fairAIchi20 @scottlundberg from @MSFTResearch sharing "Explaining Quantitative Measures of Fairness"
Read it here:
https://t.co/buL01aE8m6

#fairAIchi20 @aamogos from @stanforddschool @Stanford sharing their position paper on "Designing for Digital Agency: Equity Perspectives and AI in K-12 Education" on 10 Tools for 1,000 Schools #10toolsfor1000schools #dschool #stanford
Read it here:
https://t.co/u9XEWhEgqn

#fairAIchi20 @MarquetteU researchers presenting their work on: "Designing for Human-Centered AI in the U.S.
Child-Welfare System"
Read it here:
https://t.co/eBfsrjmROo

#fairAIchi20 position paper from @CarnegieMellon and @PartnershipAI researchers on "Lessons from the Deployment of an Algorithmic Tool in Child Welfare"
Read more here:
https://t.co/Q5SQs8AENZ
Just watched @SamadiSamira's fantastic #fairAIchi20 overview of challenges we faced attempting to evaluate whether adding a human in the loop reduces bias in facial recognition.
This is a space where more collaboration between the AI and HCI communities is desperately needed!
#fairAIchi20 @SamadiSamira @hannawallach @jennwvaughan and @MSFTResearch team position paper on: "A Human in the Loop is Not Enough: The Need for Human-Subject Experiments in Facial Recognition"
Read it here: https://t.co/zk7qdD0GPq

#fairAIchi20 @SamadiSamira @hannawallach @jennwvaughan and @MSFTResearch team position paper on: "A Human in the Loop is Not Enough: The Need for Human-Subject Experiments in Facial Recognition"
Read it here: https://t.co/zk7qdD0GPq

#fairAIchi20 @CarnegieMellon @hongshenus and @cmuhcii researchers sharing "“Public(s)-in-the-Loop”: Facilitating Deliberation of Algorithmic Decisions in Contentious Public Policy Domains"
Read it for yourself here:
https://t.co/0XLSN4ODnr

Just finished presenting the preliminary results w/ @NassimSo from our study on user opinions / definitions of algorithmic fairness at #fairAIchi20 !!! If you're curious... check out our short position paper!
#fairAIchi20 @CUBoulder researchers sharing their position paper on:
"Exploring User Opinions of Fairness in Recommender Systems" @_jessiejsmith_
Read it here:
https://t.co/v2MWVxG8NP

#fairAIchi20 @GoogleAI researchers @cephaloponderer @dylnbkr @tulseedoshi @edchi and more present "Learning to Diversify from Human Judgments: Research Directions and Open Challenges"
Read their position paper here:
https://t.co/EJckuxamy5

#fairAIchi20 @CUBoulder researchers sharing their position paper on:
"Exploring User Opinions of Fairness in Recommender Systems" @_jessiejsmith_
Read it here:
https://t.co/v2MWVxG8NP

#fairAIchi20 @LehighU researchers sharing "Bias as a Distinct Factor in Human Ratings of Machine Labeling"
Read it for yourself here: https://t.co/xucn1ywdj5

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