Abstract is missing.
- Model Reconstruction from Model ExplanationsSmitha Milli, Ludwig Schmidt, Anca D. Dragan, Moritz Hardt. 1-9 [doi]
- Actionable Recourse in Linear ClassificationBerk Ustun, Alexander Spangher, Yang Liu 0018. 10-19 [doi]
- Efficient Search for Diverse Coherent ExplanationsChris Russell 0001. 20-28 [doi]
- On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception DetectionVivian Lai, Chenhao Tan. 29-38 [doi]
- Problem Formulation and FairnessSamir Passi, Solon Barocas. 39-48 [doi]
- 50 Years of Test (Un)fairness: Lessons for Machine LearningBen Hutchinson, Margaret Mitchell. 49-58 [doi]
- Fairness and Abstraction in Sociotechnical SystemsAndrew D. Selbst, Danah Boyd, Sorelle A. Friedler, Suresh Venkatasubramanian, Janet Vertesi. 59-68 [doi]
- Clear Sanctions, Vague Rewards: How China's Social Credit System Currently Defines "Good" and "Bad" BehaviorSeverin Engelmann, Mo Chen, Felix Fischer, Ching-yu Kao, Jens Grossklags. 69-78 [doi]
- A Taxonomy of Ethical Tensions in Inferring Mental Health States from Social MediaStevie Chancellor, Michael L. Birnbaum, Eric D. Caine, Vincent M. B. Silenzio, Munmun De Choudhury. 79-88 [doi]
- Dissecting Racial Bias in an Algorithm that Guides Health Decisions for 70 Million PeopleZiad Obermeyer, Sendhil Mullainathan. 89 [doi]
- Disparate Interactions: An Algorithm-in-the-Loop Analysis of Fairness in Risk AssessmentsBen Green, Yiling Chen. 90-99 [doi]
- An Empirical Study of Rich Subgroup Fairness for Machine LearningMichael J. Kearns, Seth Neel, Aaron Roth, Zhiwei Steven Wu. 100-109 [doi]
- The Profiling Potential of Computer Vision and the Challenge of Computational EmpiricismJake Goldenfein. 110-119 [doi]
- Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes SettingMaria De-Arteaga, Alexey Romanov, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Adam Tauman Kalai. 120-128 [doi]
- Equality of Voice: Towards Fair Representation in Crowdsourced Top-K RecommendationsAbhijnan Chakraborty, Gourab K. Patro, Niloy Ganguly, Krishna P. Gummadi, Patrick Loiseau. 129-138 [doi]
- Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact CheckingMahmoudreza Babaei, Abhijnan Chakraborty, Juhi Kulshrestha, Elissa M. Redmiles, Meeyoung Cha, Krishna P. Gummadi. 139 [doi]
- On Microtargeting Socially Divisive Ads: A Case Study of Russia-Linked Ad Campaigns on FacebookFilipe Nunes Ribeiro, Koustuv Saha, Mahmoudreza Babaei, Lucas Henrique, Johnnatan Messias, Fabrício Benevenuto, Oana Goga, Krishna P. Gummadi, Elissa M. Redmiles. 140-149 [doi]
- SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News EnvironmentsDimitrios Bountouridis, Jaron Harambam, Mykola Makhortykh, Mónica Marrero, Nava Tintarev, Claudia Hauff. 150-159 [doi]
- Controlling Polarization in Personalization: An Algorithmic FrameworkL. Elisa Celis, Sayash Kapoor, Farnood Salehi, Nisheeth K. Vishnoi. 160-169 [doi]
- Fair Algorithms for Learning in Allocation ProblemsHadi Elzayn, Shahin Jabbari, Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Roth, Zachary Schutzman. 170-179 [doi]
- Fair Allocation through Competitive Equilibrium from Generic IncomesMoshe Babaioff, Noam Nisan, Inbal Talgam-Cohen. 180 [doi]
- A Moral Framework for Understanding Fair ML through Economic Models of Equality of OpportunityHoda Heidari, Michele Loi, Krishna P. Gummadi, Andreas Krause. 181-190 [doi]
- Beyond Open vs. Closed: Balancing Individual Privacy and Public Accountability in Data SharingMeg Young, Luke Rodriguez, Emily Keller, Feiyang Sun, Boyang Sa, Jan Whittington, Bill Howe. 191-200 [doi]
- Who's the Guinea Pig?: Investigating Online A/B/n Tests in-the-WildShan Jiang, John Martin, Christo Wilson. 201-210 [doi]
- Fairness-Aware ProgrammingAws Albarghouthi, Samuel Vinitsky. 211-219 [doi]
- Model Cards for Model ReportingMargaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, Timnit Gebru. 220-229 [doi]
- The Social Cost of Strategic ClassificationSmitha Milli, John Miller, Anca D. Dragan, Moritz Hardt. 230-239 [doi]
- Downstream Effects of Affirmative ActionSampath Kannan, Aaron Roth, Juba Ziani. 240-248 [doi]
- Access to Population-Level Signaling as a Source of InequalityNicole Immorlica, Katrina Ligett, Juba Ziani. 249-258 [doi]
- The Disparate Effects of Strategic ManipulationLily Hu, Nicole Immorlica, Jennifer Wortman Vaughan. 259-268 [doi]
- Measuring the Biases that Matter: The Ethical and Casual Foundations for Measures of Fairness in AlgorithmsBruce Glymour, Jonathan Herington. 269-278 [doi]
- Explaining Explanations in AIBrent D. Mittelstadt 0002, Chris Russell 0001, Sandra Wachter. 279-288 [doi]
- Racial categories in machine learningSebastian Benthall, Bruce D. Haynes. 289-298 [doi]
- Robot Eyes Wide Shut: Understanding Dishonest AnthropomorphismBrenda Leong, Evan Selinger. 299-308 [doi]
- From Soft Classifiers to Hard Decisions: How fair can we be?Ran Canetti, Aloni Cohen, Nishanth Dikkala, Govind Ramnarayan, Sarah Scheffler, Adam D. Smith. 309-318 [doi]
- Classification with Fairness Constraints: A Meta-Algorithm with Provable GuaranteesL. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi. 319-328 [doi]
- A comparative study of fairness-enhancing interventions in machine learningSorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian, Sonam Choudhary, Evan P. Hamilton, Derek Roth. 329-338 [doi]
- Fairness Under Unawareness: Assessing Disparity When Protected Class Is UnobservedJiahao Chen, Nathan Kallus, Xiaojie Mao, Geoffry Svacha, Madeleine Udell. 339-348 [doi]
- Fairness through Causal Awareness: Learning Causal Latent-Variable Models for Biased DataDavid Madras, Elliot Creager, Toniann Pitassi, Richard S. Zemel. 349-358 [doi]
- From Fair Decision Making To Social EqualityHussein Mouzannar, Mesrob I. Ohannessian, Nathan Srebro. 359-368 [doi]
- Deep Weighted Averaging ClassifiersDallas Card, Michael Zhang, Noah A. Smith. 369-378 [doi]