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Algorithmic fairness aims to address the economic, moral, social, and political impact that digital systems have on populations through solutions that can be applied by service providers.
The economics of welfare
Arthur Pigou · 1920
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Delbert Ray Fulkerson and Gary C Harding · 1977
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Bruce Golden · 1978
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Utilitarianism and welfarism
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Economic externalities
David A. Starrett · 2011
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Fairness-aware learning through regularization approach
Toshihiro Kamishima, Shotaro Akaho, and Jun Sakuma · 2011
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Robust statistics
Peter J Huber · 2011
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Nonlinear multiobjective optimization
Kaisa Miettinen · 2012
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The scored society: due process for automated predictions
Danielle Keats Citron and Frank Pasquale · 2014
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Visualized and interacted life: Personal analytics and engagements with data doubles
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Nonlinear programming
Harold Kuhn and Albert W Tucker · 2014
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Dark matters: On the surveillance of blackness
Simone Browne · 2015
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There Is No Software, there Are Just Services
Irina Kaldrack and Martina Leeker · 2015
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Platform specificity and the politics of location data extraction
Carlos Barreneche and Rowan Wilken · 2015
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Decolonial feminist economics: A necessary view for strengthening social and popular economy
Natalia Quiroga Diaz · 2015
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Coming to terms with chance: Engaging rational discrimination and cumulative disadvantage
Oscar H Gandy · 2016
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Exploring or exploiting? social and ethical implications of autonomous experimentation in AI
Sarah Bird, Solon Barocas, Kate Crawford, and Hanna Wallach · 2016
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To predict and serve?
Kristian Lum and William Isaac · 2016
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Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition
Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, and Michael K. Reiter · 2016
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Corporate capitalism and the growing power of big data: Review essay
Martha Poon · 2016
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Equality of opportunity in supervised learning
Moritz Hardt, Eric Price, and Nati Srebro · 2016
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Towards the science of security and privacy in machine learning
Nicolas Papernot, Patrick D. McDaniel, Arunesh Sinha, and Michael P. Wellman · 2016
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Predicting financial crime: Augmenting the predictive policing arsenal
Sam Lavigne, Brian Clifton, and Francis Tseng · 2017
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Fairness beyond disparate treatment & disparate impact: Learning classification without disparate mistreatment
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, and Krishna P Gummadi · 2017
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Fairness constraints: Mechanisms for fair classification
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, and Krishna P. Gummadi · 2017
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Ranking with fairness constraints
L. Elisa Celis, Damian Straszak, and Nisheeth K. Vishnoi · 2017
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San Francisco police say most traffic tickets go to Uber and Lyft drivers
Fredrick Kunkle · 2017
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Discriminating tastes: Uber’s customer ratings as vehicles for workplace discrimination
Alex Rosenblat, Karen EC Levy, Solon Barocas, and Tim Hwang · 2017
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Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova · 2017
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Measuring fairness in ranked outputs
Ke Yang and Julia Stoyanovich · 2017
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The story of Innisfil
Uber · 2019
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Understanding the recent transit ridership decline in major us cities: Service cuts or emerging modes?
Michael Graehler, Alex Mucci, and Gregory Erhardt · 2019
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Angie Schmitt · 2019
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I made $3.75 an hour: Lyft and Uber drivers push to unionize for better pay
Michael Sainato · 2019
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Uber, Lyft drivers manipulate fares at reagan national causing artificial price surges
Sam Sweeney · 2019
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Adversarial attacks on copyright detection systems
Parsa Saadatpanah, Ali Shafahi, and Tom Goldstein · 2019
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Predatory inclusion and education debt: Rethinking the racial wealth gap
Louise Seamster and Raphaël Charron-Chénier · 2017
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From internet farming to weapons of the geek
Gabriella Coleman · 2017
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Understanding black-box predictions via influence functions
Pang Wei Koh and Percy Liang · 2017
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A study of the implications of advanced digital technologies (including AI systems) for the concept of responsibility within a human rights framework
Karen Yeung · 2018
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Runaway feedback loops in predictive policing
Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Scheidegger, and Suresh Venkatasubramanian · 2018
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Questioning the assumptions behind fairness solutions
Rebekah Overdorf, Bogdan Kulynych, Ero Balsa, Carmela Troncoso, and Seda F. Gürses · 2018
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Babel generator
Les Perelman · 2019
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Jobscan · 2019
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Why do adversarial attacks transfer? Explaining transferability of evasion and poisoning attacks
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UCI machine learning repository, 2017
Dua Dheeru and Efi Karra Taniskidou · 2019
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Delayed impact of fair machine learning
Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, and Moritz Hardt · 2019
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Race for Profit: How Banks and the Real Estate Industry Undermined Black Homeownership
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Decentering technology in discourse on discrimination
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The seductive diversion of ‘solving’ bias in artificial intelligence, 2018
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Facebook keeps failing in Myanmar
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Why AI isn’t going to solve Facebook’s fake news problem
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Odd numbers. algorithms alone can’t meaningfully hold other algorithms accountable
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Rethinking gaming: The ethical work of optimization in web search engines
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