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Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

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Volume 81: Conference on Fairness, Accountability and Transparency, 23-24 February 2018, New York, NY, USA

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Editors: Sorelle A. Friedler, Christo Wilson

[bib][citeproc]

Contents:

  • Preface
  • Keynotes
  • Contributed Papers

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Preface

Preface

; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:1-2

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Keynotes

Keynote 1

Latanya Sweeney; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:3-3

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Keynote 2

Deborah Hellman; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:4-4

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Contributed Papers

Potential for Discrimination in Online Targeted Advertising

Till Speicher, Muhammad Ali, Giridhari Venkatadri, Filipe Nunes Ribeiro, George Arvanitakis, Fabrício Benevenuto, Krishna P. Gummadi, Patrick Loiseau, Alan Mislove; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:5-19

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Discrimination in Online Advertising: A Multidisciplinary Inquiry

Amit Datta, Anupam Datta, Jael Makagon, Deirdre K. Mulligan, Michael Carl Tschantz; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:20-34

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Privacy for All: Ensuring Fair and Equitable Privacy Protections

Michael D. Ekstrand, Rezvan Joshaghani, Hoda Mehrpouyan; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:35-47

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“Meaningful Information” and the Right to Explanation

Andrew Selbst, Julia Powles; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:48-48

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Interpretable Active Learning

Richard Phillips, Kyu Hyun Chang, Sorelle A. Friedler; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:49-61

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Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment

Chelsea Barabas, Madars Virza, Karthik Dinakar, Joichi Ito, Jonathan Zittrain; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:62-76

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Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification

Joy Buolamwini, Timnit Gebru; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:77-91

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Analyze, Detect and Remove Gender Stereotyping from Bollywood Movies

Nishtha Madaan, Sameep Mehta, Taneea Agrawaal, Vrinda Malhotra, Aditi Aggarwal, Yatin Gupta, Mayank Saxena; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:92-105

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Mixed Messages? The Limits of Automated Social Media Content Analysis

Natasha Duarte, Emma Llanso, Anna Loup; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:106-106

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The cost of fairness in binary classification

Aditya Krishna Menon, Robert C. Williamson; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:107-118

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Decoupled Classifiers for Group-Fair and Efficient Machine Learning

Cynthia Dwork, Nicole Immorlica, Adam Tauman Kalai, Max Leiserson; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:119-133

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A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions

Alexandra Chouldechova, Diana Benavides-Prado, Oleksandr Fialko, Rhema Vaithianathan; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:134-148

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Fairness in Machine Learning: Lessons from Political Philosophy

Reuben Binns; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:149-159

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Runaway Feedback Loops in Predictive Policing

Danielle Ensign, Sorelle A. Friedler, Scott Neville, Carlos Scheidegger, Suresh Venkatasubramanian; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:160-171

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All The Cool Kids, How Do They Fit In?: Popularity and Demographic Biases in Recommender Evaluation and Effectiveness

Michael D. Ekstrand, Mucun Tian, Ion Madrazo Azpiazu, Jennifer D. Ekstrand, Oghenemaro Anuyah, David McNeill, Maria Soledad Pera; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:172-186

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Recommendation Independence

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:187-201

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Balanced Neighborhoods for Multi-sided Fairness in Recommendation

Robin Burke, Nasim Sonboli, Aldo Ordonez-Gauger; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:202-214

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