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Publication search results
found 96 matches
- 2020
- Rediet Abebe, Solon Barocas, Jon M. Kleinberg, Karen Levy, Manish Raghavan, David G. Robinson:
Roles for computing in social change. FAT* 2020: 252-260 - Muhammad Aurangzeb Ahmad, Ankur Teredesai, Carly Eckert:
Fairness, accountability, transparency in AI at scale: lessons from national programs. FAT* 2020: 690 - Doris Allhutter, Bettina Berendt:
Deconstructing FAT: using memories to collectively explore implicit assumptions, values and context in practices of debiasing and discrimination-awareness. FAT* 2020: 687 - Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang:
AI explainability 360: hands-on tutorial. FAT* 2020: 696 - Dylan K. Baker, Alex Hanna, Emily Denton:
Algorithmically encoded identities: reframing human classification. FAT* 2020: 681 - Chelsea Barabas, Colin Doyle, J. B. Rubinovitz, Karthik Dinakar:
Studying up: reorienting the study of algorithmic fairness around issues of power. FAT* 2020: 167-176 - Solon Barocas, Asia J. Biega, Benjamin Fish, Jedrzej Niklas, Luke Stark:
When not to design, build, or deploy. FAT* 2020: 695 - Solon Barocas, Andrew D. Selbst, Manish Raghavan:
The hidden assumptions behind counterfactual explanations and principal reasons. FAT* 2020: 80-89 - Marguerite Barry, Aphra Kerr, Oliver Smith:
Ethics on the ground: from principles to practice. FAT* 2020: 688 - Jo Bates, David Cameron, Alessandro Checco, Paul D. Clough, Frank Hopfgartner, Suvodeep Mazumdar, Laura Sbaffi, Peter Stordy, Antonio de la Vega de León:
Integrating FATE/critical data studies into data science curricula: where are we going and how do we get there? FAT* 2020: 425-435 - Kathy Baxter, Yoav Schlesinger, Sarah Aerni, Lewis J. Baker, Julie Dawson, Krishnaram Kenthapadi, Isabel M. Kloumann, Hanna M. Wallach:
Bridging the gap from AI ethics research to practice. FAT* 2020: 682 - Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley:
Explainable machine learning in deployment. FAT* 2020: 648-657 - Elettra Bietti:
From ethics washing to ethics bashing: a view on tech ethics from within moral philosophy. FAT* 2020: 210-219 - Reuben Binns:
On the apparent conflict between individual and group fairness. FAT* 2020: 514-524 - Emily Black, Samuel Yeom, Matt Fredrikson:
FlipTest: fairness testing via optimal transport. FAT* 2020: 111-121 - Miranda Bogen, Aaron Rieke, Shazeda Ahmed:
Awareness in practice: tensions in access to sensitive attribute data for antidiscrimination. FAT* 2020: 492-500 - Glencora Borradaile, Brett Burkhardt, Alexandria LeClerc:
Whose tweets are surveilled for the police: an audit of a social-media monitoring tool via log files. FAT* 2020: 570-580 - Robin D. Burke, Masoud Mansoury, Nasim Sonboli:
Experimentation with fairness-aware recommendation using librec-auto: hands-on tutorial. FAT* 2020: 700 - Michael Castelle:
The social lives of generative adversarial networks. FAT* 2020: 413 - Corinne Cath, Mark Latonero, Vidushi Marda, Roya Pakzad:
Leap of FATE: human rights as a complementary framework for AI policy and practice. FAT* 2020: 702 - L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi:
Interventions for ranking in the presence of implicit bias. FAT* 2020: 369-380 - Amanda Coston, Alan Mishler, Edward H. Kennedy, Alexandra Chouldechova:
Counterfactual risk assessments, evaluation, and fairness. FAT* 2020: 582-593 - Alexander D'Amour, Hansa Srinivasan, James Atwood, Pallavi Baljekar, D. Sculley, Yoni Halpern:
Fairness is not static: deeper understanding of long term fairness via simulation studies. FAT* 2020: 525-534 - Sarah Dean, Sarah Rich, Benjamin Recht:
Recommendations and user agency: the reachability of collaboratively-filtered information. FAT* 2020: 436-445 - Kate Donahue, Jon M. Kleinberg:
Fairness and utilization in allocating resources with uncertain demand. FAT* 2020: 658-668 - Ravit Dotan, Smitha Milli:
Value-laden disciplinary shifts in machine learning. FAT* 2020: 294 - Natasha Duarte, Stan Adams:
Policy 101: an introduction to public policymaking in the EU and US. FAT* 2020: 703 - Hadi Elzayn, Benjamin Fish:
The effects of competition and regulation on error inequality in data-driven markets. FAT* 2020: 669-679 - Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly:
Explainable AI in industry: practical challenges and lessons learned: implications tutorial. FAT* 2020: 699 - Maya Indira Ganesh, Francien Dechesne, Zeerak Waseem:
Two computer scientists and a cultural scientist get hit by a driver-less car: a method for situating knowledge in the cross-disciplinary study of F-A-T in machine learning: translation tutorial. FAT* 2020: 707
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