Table of Contents

• Black Feminist Musings on Algorithmic OppressionLelia Marie Hampton. 1 [doi]
• Price Discrimination with Fairness ConstraintsMaxime C. Cohen, Adam N. Elmachtoub, Xiao Lei. 2 [doi]
• Fairness Violations and Mitigation under Covariate ShiftHarvineet Singh, Rina Singh, Vishwali Mhasawade, Rumi Chunara. 3-13 [doi]
• Reasons, Values, Stakeholders: A Philosophical Framework for Explainable Artificial IntelligenceAtoosa Kasirzadeh. 14 [doi]
• Allocating Opportunities in a Dynamic Model of Intergenerational MobilityHoda Heidari, Jon M. Kleinberg. 15-25 [doi]
• Corporate Social Responsibility via Multi-Armed BanditsTom Ron, Omer Ben-Porat, Uri Shalit. 26-40 [doi]
• Biases in Generative Art: A Causal Look from the Lens of Art HistoryRamya Srinivasan 0002, Kanji Uchino. 41-51 [doi]
• Designing an Online Infrastructure for Collecting AI Data From People With DisabilitiesJoon-Sung Park, Danielle Bragg, Ece Kamar, Meredith Ringel Morris. 52-63 [doi]
• Fifty Shades of Grey: In Praise of a Nuanced Approach Towards Trustworthy DesignLauren Thornton, Bran Knowles, Gordon S. Blair. 64-76 [doi]
• Representativeness in Statistics, Politics, and Machine LearningKyla Chasalow, Karen Levy. 77-89 [doi]
• The Distributive Effects of Risk Prediction in Environmental Compliance: Algorithmic Design, Environmental Justice, and Public PolicyElinor Benami, Reid Whitaker, Vincent La, Hongjin Lin, Brandon R. Anderson, Daniel E. Ho. 90-105 [doi]
• Computer Science Communities: Who is Speaking, and Who is Listening to the Women? Using an Ethics of Care to Promote Diverse VoicesMarc Cheong, Kobi Leins, Simon Coghlan. 106-115 [doi]
• Differential Tweetment: Mitigating Racial Dialect Bias in Harmful Tweet DetectionAri Ball-Burack, Michelle Seng Ah Lee, Jennifer Cobbe, Jatinder Singh. 116-128 [doi]
• Group Fairness: Independence RevisitedTim Räz. 129-137 [doi]
• Towards Fair Deep Anomaly DetectionHongjing Zhang, Ian Davidson. 138-148 [doi]
• Can You Fake It Until You Make It?: Impacts of Differentially Private Synthetic Data on Downstream Classification FairnessVictoria Cheng, Vinith M. Suriyakumar, Natalie Dullerud, Shalmali Joshi, Marzyeh Ghassemi. 149-160 [doi]
• Documenting Computer Vision Datasets: An Invitation to Reflexive Data PracticesMilagros Miceli, Tianling Yang, Laurens Naudts, Martin Schuessler, Diana Serbanescu, Alex Hanna. 161-172 [doi]
• Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 PolicyAmanda Coston, Neel Guha, Derek Ouyang, Lisa Lu, Alexandra Chouldechova, Daniel E. Ho. 173-184 [doi]
• Better Together?: How Externalities of Size Complicate Notions of Solidarity and Actuarial FairnessKate Donahue, Solon Barocas. 185-195 [doi]
• Removing Spurious Features can Hurt Accuracy and Affect Groups DisproportionatelyFereshte Khani, Percy Liang. 196-205 [doi]
• Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete InformationPranjal Awasthi, Alex Beutel, Matthäus Kleindessner, Jamie Morgenstern, Xuezhi Wang 0002. 206-214 [doi]
• Data Leverage: A Framework for Empowering the Public in its Relationship with Technology CompaniesNicholas Vincent, Hanlin Li, Nicole Tilly, Stevie Chancellor, Brent J. Hecht. 215-227 [doi]
• The Use and Misuse of Counterfactuals in Ethical Machine LearningAtoosa Kasirzadeh, Andrew Smart. 228-236 [doi]
• Mitigating Bias in Set Selection with Noisy Protected AttributesAnay Mehrotra, L. Elisa Celis. 237-248 [doi]
• What We Can't Measure, We Can't Understand: Challenges to Demographic Data Procurement in the Pursuit of FairnessMcKane Andrus, Elena Spitzer, Jeffrey Brown, Alice Xiang. 249-260 [doi]
• Standardized Tests and Affirmative Action: The Role of Bias and VarianceNikhil Garg, Hannah Li, Faidra Monachou. 261 [doi]
• The Sanction of Authority: Promoting Public Trust in AIBran Knowles, John T. Richards. 262-271 [doi]
• Algorithmic Fairness in Predicting Opioid Use Disorder using Machine LearningAngela E. Kilby. 272 [doi]
• Avoiding Disparity Amplification under Different WorldviewsSamuel Yeom, Michael Carl Tschantz. 273-283 [doi]
• Spoken Corpora Data, Automatic Speech Recognition, and Bias Against African American Language: The case of Habitual 'Be'Joshua L. Martin. 284 [doi]
• Leave-one-out UnfairnessEmily Black, Matt Fredrikson. 285-295 [doi]
• Fairness, Welfare, and Equity in Personalized PricingNathan Kallus, Angela Zhou. 296-314 [doi]
• Re-imagining Algorithmic Fairness in India and BeyondNithya Sambasivan, Erin Arnesen, Ben Hutchinson, Tulsee Doshi, Vinodkumar Prabhakaran. 315-328 [doi]
• Narratives and Counternarratives on Data Sharing in AfricaRediet Abebe, Kehinde Aruleba, Abeba Birhane, Sara Kingsley, George Obaido, Sekou L. Remy, Swathi Sadagopan. 329-341 [doi]
• This Whole Thing Smacks of Gender: Algorithmic Exclusion in Bioimpedance-based Body Composition AnalysisKendra Albert, Maggie Delano. 342-352 [doi]
• Algorithmic Recourse: from Counterfactual Explanations to InterventionsAmir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera. 353-362 [doi]
• A Semiotics-based epistemic tool to reason about ethical issues in digital technology design and developmentSimone Diniz Junqueira Barbosa, Gabriel Diniz Junqueira Barbosa, Clarisse Sieckenius de Souza, Carla Faria Leitão. 363-374 [doi]
• Measurement and FairnessAbigail Z. Jacobs. 375-385 [doi]
• Fairness in Risk Assessment Instruments: Post-Processing to Achieve Counterfactual Equalized OddsAlan Mishler, Edward H. Kennedy, Alexandra Chouldechova. 386-400 [doi]
• High Dimensional Model Explanations: An Axiomatic ApproachNeel Patel, Martin Strobel, Yair Zick. 401-411 [doi]
• An Agent-based Model to Evaluate Interventions on Online Dating Platforms to Decrease Racial HomogamyStefania Ionescu, Anikó Hannák, Kenneth Joseph. 412-423 [doi]
• Designing Accountable SystemsSeverin Kacianka, Alexander Pretschner. 424-437 [doi]
• Socially Fair k-Means ClusteringMehrdad Ghadiri, Samira Samadi, Santosh S. Vempala. 438-448 [doi]
• Towards Cross-Lingual Generalization of Translation Gender BiasWon-Ik Cho, Ji-Won Kim, Jaeyeong Yang, Nam Soo Kim. 449-457 [doi]
• A Pilot Study in Surveying Clinical Judgments to Evaluate Radiology Report GenerationWilliam Boag, Hassan Kané, Saumya Rawat, Jesse Wei, Alexander Goehler. 458-465 [doi]
• Fairness Through Robustness: Investigating Robustness Disparity in Deep LearningVedant Nanda, Samuel Dooley, Sahil Singla 0002, Soheil Feizi, John P. Dickerson. 466-477 [doi]
• Operationalizing Framing to Support Multiperspective Recommendations of Opinion PiecesMats Mulder, Oana Inel, Jasper Oosterman, Nava Tintarev. 478-488 [doi]
• Bridging Machine Learning and Mechanism Design towards Algorithmic FairnessJessie Finocchiaro, Roland Maio, Faidra Monachou, Gourab K. Patro, Manish Raghavan, Ana-Andreea Stoica, Stratis Tsirtsis. 489-503 [doi]
• Fair Clustering via Equitable Group RepresentationsMohsen Abbasi, Aditya Bhaskara, Suresh Venkatasubramanian. 504-514 [doi]
• You Can't Sit With Us: Exclusionary Pedagogy in AI Ethics EducationInioluwa Deborah Raji, Morgan Klaus Scheuerman, Razvan Amironesei. 515-525 [doi]
• Fair Classification with Group-Dependent Label NoiseJialu Wang, Yang Liu, Caleb Levy. 526-536 [doi]
• Censorship of Online Encyclopedias: Implications for NLP ModelsEddie Yang, Margaret E. Roberts. 537-548 [doi]
• Impossible Explanations?: Beyond explainable AI in the GDPR from a COVID-19 use case scenarioRonan Hamon, Henrik Junklewitz, Gianclaudio Malgieri, Paul De Hert, Laurent Beslay, Ignacio Sanchez. 549-559 [doi]
• Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and InfrastructureBen Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell. 560-575 [doi]
• Fairness, Equality, and Power in Algorithmic Decision-MakingMaximilian Kasy, Rediet Abebe. 576-586 [doi]
• One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer VisionZaid Khan 0001, Yun Fu 0001. 587-597 [doi]
• Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic SystemsJennifer Cobbe, Michelle Seng Ah Lee, Jatinder Singh. 598-609 [doi]
• On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, Shmargaret Shmitchell. 610-623 [doi]
• Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AIAlon Jacovi, Ana Marasovic, Tim Miller, Yoav Goldberg. 624-635 [doi]
• TILT: A GDPR-Aligned Transparency Information Language and Toolkit for Practical Privacy EngineeringElias Grünewald, Frank Pallas. 636-646 [doi]
• From Papers to Programs: Courts, Corporations, Clinics and the Battle over Computerized Psychological TestingKira Lussier. 647 [doi]
• A Statistical Test for Probabilistic FairnessBahar Taskesen, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen. 648-665 [doi]
• Building and Auditing Fair Algorithms: A Case Study in Candidate ScreeningChristo Wilson, Avijit Ghosh, Shan Jiang 0008, Alan Mislove, Lewis Baker, Janelle Szary, Kelly Trindel, Frida Polli. 666-677 [doi]
• The Effect of the Rooney Rule on Implicit Bias in the Long TermL. Elisa Celis, Chris Hays, Anay Mehrotra, Nisheeth K. Vishnoi. 678-689 [doi]
• I agree with the decision, but they didn't deserve this: Future Developers' Perception of Fairness in Algorithmic DecisionsMaria Kasinidou, Styliani Kleanthous, Pinar Barlas, Jahna Otterbacher. 690-700 [doi]
• Image Representations Learned With Unsupervised Pre-Training Contain Human-like BiasesRyan Steed, Aylin Caliskan. 701-713 [doi]
• From Optimizing Engagement to Measuring ValueSmitha Milli, Luca Belli, Moritz Hardt. 714-722 [doi]
• Chasing Your Long Tails: Differentially Private Prediction in Health Care SettingsVinith M. Suriyakumar, Nicolas Papernot, Anna Goldenberg, Marzyeh Ghassemi. 723-734 [doi]
• Algorithmic Impact Assessments and Accountability: The Co-construction of ImpactsJacob Metcalf, Emanuel Moss, Elizabeth Anne Watkins, Ranjit Singh, Madeleine Clare Elish. 735-746 [doi]
• On the Moral Justification of Statistical ParityCorinna Hertweck, Christoph Heitz, Michele Loi. 747-757 [doi]
• Outlining Traceability: A Principle for Operationalizing Accountability in Computing SystemsJoshua A. Kroll. 758-771 [doi]
• An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and ActivistsP. M. Krafft, Meg Young, Michael A. Katell, Jennifer E. Lee, Shankar Narayan, Micah Epstein, Dharma Dailey, Bernease Herman, Aaron Tam, Vivian Guetler, Corinne Bintz, Daniella Raz, Pa Ousman Jobe, Franziska Putz, Brian Robick, Bissan Barghouti. 772-781 [doi]
• The Ethics of Emotion in Artificial Intelligence SystemsLuke Stark, Jesse Hoey. 782-793 [doi]
• Detecting discriminatory risk through data annotation based on Bayesian inferencesElena Beretta, Antonio Vetrò, Bruno Lepri, Juan Carlos De Martin. 794-804 [doi]
• How can I choose an explainer?: An Application-grounded Evaluation of Post-hoc ExplanationsSérgio M. Jesus, Catarina Belém, Vladimir Balayan, João Bento 0002, Pedro Saleiro, Pedro Bizarro, João Gama 0001. 805-815 [doi]
• The Algorithmic Leviathan: Arbitrariness, Fairness, and Opportunity in Algorithmic Decision Making SystemsKathleen Creel, Deborah Hellman. 816 [doi]
• Epistemic values in feature importance methods: Lessons from feminist epistemologyLeif Hancox-Li, I. Elizabeth Kumar. 817-826 [doi]
• A Bayesian Model of Cash Bail DecisionsJoshua Williams, J. Zico Kolter. 827-837 [doi]
• The effect of differential victim crime reporting on predictive policing systemsNil-Jana Akpinar, Maria De-Arteaga, Alexandra Chouldechova. 838-849 [doi]
• Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through DeliberationHong Shen, Wesley H. Deng, Aditi Chattopadhyay, Zhiwei Steven Wu, Xu Wang, Haiyi Zhu. 850-861 [doi]
• BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language GenerationJwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta. 862-872 [doi]
• When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce MarketplacesAbhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh 0001, Animesh Mukherjee 0001, Krishna P. Gummadi. 873-884 [doi]