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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
Preface
Preface
Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:1-2
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Keynotes
Keynote 1
Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:3-3
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Keynote 2
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
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
Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:20-34
;Privacy for All: Ensuring Fair and Equitable Privacy Protections
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
Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:48-48
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Interpretable Active Learning
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
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
Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:77-91
;Analyze, Detect and Remove Gender Stereotyping from Bollywood Movies
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
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
Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:107-118
;Decoupled Classifiers for Group-Fair and Efficient Machine Learning
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
Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:134-148
;Fairness in Machine Learning: Lessons from Political Philosophy
Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:149-159
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Runaway Feedback Loops in Predictive Policing
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
Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:172-186
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Recommendation Independence
Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:187-201
;Balanced Neighborhoods for Multi-sided Fairness in Recommendation
Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:202-214
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