Explaining Explanations in AI

Brent Mittelstadt, Chris Russell, Sandra Wachter


Deep Weighted Averaging Classifiers

Dallas Card, Michael Zhang, Noah A. Smith


Fairness and Abstraction in Sociotechnical Systems

Andrew Selbst, danah boyd, Sorelle A. Friedler, Suresh Venkatasubramanian, Janet A. Vertesi


50 Years of Test (Un)fairness: Lessons for Machine Learning

Ben Hutchinson, Margaret Mitchell


A comparative study of fairness-enhancing interventions in machine learning

Sorelle A. Friedler, Carlos Scheidegger, Suresh Venkatasubramanian, Sonam Choudhary, Evan P. Hamilton, Derek Roth


Beyond Open vs. Closed: Balancing Individual Privacy and Public Accountability in Data Sharing

Meg Young, Luke Rodriguez, Emily Keller, Feiyang Sun, Boyang Sa, Jan Whittington, Bill Howe


Analyzing Biases in Perception of Truth in News Stories and their Implications for Fact Checking

Mahmoudreza Babaei, Abhijnan Chakraborty, Juhi Kulshrestha, Elissa M. Redmiles, Meeyoung Cha, Krishna Gummadi


Disparate Interactions: An Algorithm-in-the-Loop Analysis of Fairness in Risk Assessments

Ben Green, Yiling Chen


Problem Formulation and Fairness

Samir Passi, Solon Barocas


Fairness under unawareness: assessing disparity when protected class is unobserved

Jiahao Chen, Nathan Kallus, Xiaojie Mao, Geoffry Svacha, Madeleine Udell


On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection

Vivian Lai, Chenhao Tan


Actionable Recourse in Linear Classification

Berk Ustun, Alexander Spangher, Yang Liu


Ethical Tensions in Inferring Mental Health States from Social Media: Questions and Calls to Action

Stevie Chancellor, Michael Birnbaum, Eric Caine, Vincent Silenzio, Munmun De Choudhury


The Disparate Effects of Strategic Manipulation

Lily Hu, Nicole Immorlica, Jennifer Wortman Vaughan


An Algorithmic Framework to Control Polarization in Personalization

L. Elisa Celis, Sayash Kapoor, Farnood Salehi, Nisheeth Vishnoi


Racial categories in machine learning

Sebastian Benthall, Bruce Haynes


Downstream Effects of Affirmative Action

Sampath Kannan, Aaron Roth, Juba Ziani


Fairness through Causal Awareness: Learning Causal Latent-Variable Models for Biased Data

David Madras, Elliot Creager, Toni Pitassi, Richard Zemel


Model Reconstruction from Model Explanations

Smitha Milli, Ludwig Schmidt, Anca D. Dragan, Moritz Hardt


Fair Allocation through Competitive Equilibrium from Generic Incomes

Moshe Babaioff, Noam Nisan, Inbal Talgam-Cohen


An Empirical Study of Rich Subgroup Fairness for Machine Learning

Michael J. Kearns, Seth V. Neel, Aaron L. Roth, Zhiwei Steven Wu


Post-Processing Calibrated Classifiers

Ran Canetti, Aloni Cohen, Nishanth Dikkala, Govind Ramnarayan, Sarah Scheffler, Adam Smith


Efficient Search for Diverse Coherent Explanations

Christopher Russell


Robot Eyes Wide Shut: Understanding Dishonest Anthropomorphism

Brenda Leong, Evan Selinger


A Moral Framework for Understanding Fair ML through Economic Models of Equality of Opportunity

Hoda Heidari, Michele Loi, Krishna Gummadi, Andreas Krause


Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees

L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi


Access to Population-Level Signaling as a Source of Inequality

Nicole Immorlica, Katrina Ligett, Juba Ziani


Measuring the Biases that Matter: The Ethical and Casual Foundations for Measures of Fairness in Algorithms

Bruce Glymour, Jonathan Herington


Fairness-Aware Programming

Aws Albarghouthi, Samuel Vinitsky


The Profiling Potential of Computer Vision and the Challenge of Computational Empiricism

Jake Goldenfein


Clear Sanctions, Vague Rewards: How China’s Social Credit System Defines “Good” and “Bad” Behavior

Severin Engelmann, Mo Chen, Jens Grossklags, Felix Fischer, Ching-yu Kao


Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting

Maria De-Arteaga, Alexey Romanov, Hanna Wallach, Jennifer Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Geyik, Krishnaram Kenthapadi, Adam Kalai


Who's the Guinea Pig? Investigating Online A/B/n Tests In-The-Wild

Shan Jiang, John Martin, Christo Wilson


Fair Algorithms for Learning in Allocation Problems

Hadi Elzayn, Shahin Jabbari, Christopher Jung, Michael Kearns, Seth Neel, Aaron Roth, Zachary Schutzman


On Microtargeting Socially Divisive Ads: A Case Study of Russia-Linked Ad Campaigns on Facebook

Filipe Ribeiro, Koustuv Saha, Mahmoudreza Babaei, Lucas Henrique, Johnnatan Messias, Oana Goga, Fabricio Benevenuto, Krishna P. Gummadi, Elissa M. Redmiles


Model Cards for Reporting Model Performance

Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Ben Hutchinson, Elena Spitzer, Lucy Vasserman, Inioluwa Deborah Raji, Timnit Gebru


Dissecting Racial Bias in an Algorithm that Guides Health Decisions for 70 million people

Ziad Obermeyer, Sendhil Mullainathan


The Social Cost of Strategic Classification

Smitha Milli, John Miller, Anca Dragan, Moritz Hardt


SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments

Dimitrios Bountouridis, Jaron Harambam, Mykola Makhortykh, Monica Marrero, Nava Tintarev, Claudia Hauff


Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations

Abhijnan Chakraborty, Gourab K Patro, Niloy Ganguly, Krishna P. Gummadi, Patrick Loiseau


From Fair Decision Making To Social Equality

Hussein Mouzannar, Mesrob I. Ohannessian, Nathan Srebro, Hussein Mouzannar