Fair Clustering via Equitable Group Representations

M. Abbasi, A. Bhaskara, S. Venkatasubramanian


Algorithmic Fairness in Predicting Opioid Use Disorder using Machine Learning

A. Kilby


"The Whole Thing Smacks of Gender": Algorithmic Exclusion in Bioimpedance-based Body Composition Analysis

K. Albert, M. Delano


Mitigating Bias in Set Selection with Noisy Protected Attributes

A. Mehrotra, L. Celis


Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately

F. Khani, P. Liang


Socially Fair k-Means Clustering

M. Ghadiri, S. Samadi, S. Vempala


Allocating Opportunities in a Dynamic Model of Intergenerational Mobility

H. Heidari, J. Kleinberg


Fairness in Risk Assessment Instruments: Post-Processing to Achieve Counterfactual Equalized Odds

A. Mishler, E. Kennedy, A. Chouldechova


Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI

A. Jacovi, A. Marasovic, T. Miller, Y. Goldberg


Fairness Violations and Mitigation under Distribution Shift

H. Singh, R. Singh, V. Mhasawade, R. Chunara


Corporate Social Responsibility via Multi-Armed Bandits

T. Ron, O. Ben-Porat, U. Shalit


Better Together? How Externalities of Size Complicate Notions of Solidarity and Actuarial Fairness

K. Donahue, S. Barocas


Algorithmic Recourse: from Counterfactual Explanations to Consequential Interventions

A. Karimi, B. Schölkopf, I. Valera


Standardized Tests and Affirmative Action: The Role of Bias and Variance

N. Garg, H. Li, F. Monachou


Fair Classification with Group-Dependent Label Noise

J. Wang, Y. Liu, C. Levy


Towards Fair Deep Anomaly Detection

H. Zhang, I. Davidson


Measurement and Fairness

A. Jacobs, H. Wallach


Designing Accountable Systems

S. Kacianka, A. Pretschner


Differential Tweetment: Mitigating Racial Dialect Bias in Harmful Tweet Detection

A. Ball-Burack, M. Lee, J. Cobbe, J. Singh


Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness

J. Finocchiaro, R. Maio, F. Monachou, G. Patro, M. Raghavan, A. Stoica, S. Tsirtsis


High Dimensional Model Explanations: An Axiomatic Approach

N. Patel, M. Strobel, Y. Zick


BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation

J. Dhamala, T. Sun, V. Kumar, S. Krishna, Y. Pruksachatkun, K. Chang, R. Gupta


An Action-Oriented AI Policy Toolkit for Technology Audits by Community Advocates and Activists

M. Young, M. Katell, J. Lee, S. Narayan, M. Epstein, B. Herman, D. Dailey, C. Bintz, V. Guetler, D. Raz, A. Tam, P. Jobe, F. Putz, B. Barghouti, B. Robick, P. Krafft


Fairness, Equality, and Power in Algorithmic Decision-Making

M. Kasy, R. Abebe


A Bayesian Model of Cash Bail Decisions

J. Williams, Z. Kolter


When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces

A. Dash, A. Chakraborty, S. Ghosh, A. Mukherjee, K. Gummadi


The effect of differential victim crime reporting on predictive policing systems

N. Akpinar, A. Chouldechova


How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations

S. Jesus, C. Belém, V. Balayan, J. Sousa, P. Saleiro, P. Bizarro, J. Gama


Building and Auditing Fair Algorithms: A Case Study in Candidate Screening

C. Wilson, A. Ghosh, S. Jiang, A. Mislove, L. Baker, J. Szary, K. Trindel, F. Polli


Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases

R. Steed, A. Caliskan


Leveraging Administrative Data for Bias Audits: Assessing Disparate Coverage with Mobility Data for COVID-19 Policy

A. Coston, N. Guha, L. Lu, D. Ouyang, A. Chouldechova, D. Ho


Censorship of Online Encyclopedias and its Political Effect on NLP Models

E. Yang, M. Roberts


Avoiding Disparity Amplification under Different Worldviews

S. Yeom, M. Tschantz


Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings

V. Suriyakumar, N. Papernot, A. Goldenberg, M. Ghassemi


Spoken Corpora Data, Automatic Speech Recognition, and Bias Against African American Language: The case of Habitual ‘Be’

J. Martin


A Pilot Study in Surveying Clinical Judgments to Evaluate Radiology Report Generation

W. Boag, H. Kane, S. Rawat, J. Wei, A. Goehler


Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning

V. Nanda, S. Dooley, S. Singla, S. Feizi, J. Dickerson


Towards Cross-Lingual Generalization of Translation Gender Bias

W. Cho, J. Kim, J. Yang, N. Kim


One Label, One Billion Faces: Usage & Consistency of Racial Categories in Computer Vision

Z. Khan, Y. Fu


From Optimizing Engagement to Measuring Value

S. Milli, L. Belli, M. Hardt


Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information

P. Awasthi, A. Beutel, M. Kleindessner, J. Morgenstern, X. Wang


Fairness, Welfare, and Equity in Personalized Pricing

N. Kallus, A. Zhou


A Statistical Test for Probabilistic Fairness

B. Taskesen, J. Blanchet, D. Kuhn, V. Nguyen


Leave-one-out Unfairness

E. Black, M. Fredrikson


The Sanction of Authority: Promoting Public Trust in AI

B. Knowles, J. Richards


Price Discrimination with Fairness Constraints

M. Cohen, A. Elmachtoub, X. Lei


Can You Fake It Until You Make It?: Impacts of Differentially Private Synthetic Data on Downstream Classification Fairness

V. Cheng, V. Suriyakumar, N. Dullerud, S. Joshi, M. Ghassemi


“You Can’t Sit With Us”: Exclusionary Pedagogy in AI Ethics Education

I. Raji, M. Scheuerman, R. Amironesei


Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation

H. Shen, W. Deng, A. Chattopadhyay, S. Wu, X. Wang, H. Zhu


Biases in Generative Art---A Causal Look from the Lens of Art History

R. Srinivasan, K. Uchino


"I agree with the decision, but they didn't deserve this": Future Developers' Perception of Fairness in Algorithmic Decisions

S. Kleanthous, M. Kasinidou, P. Barlas, J. Otterbacher


Reasons, Values, Stakeholders: A Philosophical Framework for Explainable AI

A. Kasirzadeh


Detecting discriminatory risk through data annotation based on Bayesian inferences

E. Beretta, A. Vetrò, B. Lepri, J. De Martin


Fifty Shades of Grey: In Praise of a Nuanced Approach Towards Trustworthy Design

L. Thornton, B. Knowles, G. Blair


Designing an Online Infrastructure for Collecting AI Data From People With Disabilities

J. Park, D. Bragg, E. Kamar, M. Morris


A semiotically-based epistemic tool to reason about ethical issues in digital technology design and development

S. Barbosa, G. Barbosa, C. de Souza, C. Leitão


Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces

M. Mulder, O. Inel, J. Oosterman, N. Tintarev


De-centering Algorithmic Power: Towards Algorithmic Fairness in India

N. Sambasivan, E. Arnesen, B. Hutchinson, T. Doshi, V. Prabhakaran


Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure

B. Hutchinson, E. Denton, M. Mitchell, A. Hanna, A. Smart, C. Greer, P. Barnes, O. Kjartansson


Epistemic values in feature importance methods: Lessons from feminist epistemology

L. Hancox-Li, I. Kumar


Requirements for Traceability: Operationalizing Accountability for Software Systems

J. Kroll


The Ethics of Emotion in Artificial Intelligence Systems

L. Stark, J. Hoey


From Papers to Programs: Courts, Corporations, Clinics and the Battle over Computerized Psychological Testing

K. Lussier


Representativeness in Statistics, Politics, and Machine Learning

K. Chasalow, K. Levy


The Algorithmic Leviathan: Arbitrariness, Unfairness, and Opportunity in Algorithmic Decision Making Systems

K. Creel, D. Hellman


On the Moral Justification of Statistical Parity

C. Hertweck, M. Loi, C. Heitz


Narratives and Counternarratives on Data Sharing in Africa

R. Abebe, K. Aruleba, A. Birhane, S. Kingsley, G. Obaido, S. Remy, S. Sadagopan


Group Fairness: Independence Revisited

T. Räz


Impossible Explanations? Beyond explainable AI in the GDPR from a COVID-19 use case scenario

R. Hamon, H. Junklewitz, G. Malgieri, I. Sanchez, P. De Hert, L. Beslay


Algorithmic Impact Assessments and Accountability: The Co-construction of Impacts

J. Metcalf, E. Moss, E. Watkins, R. Singh, M. Elish


On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?

E. Bender, T. Gebru, A. McMillan-Major


Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies

N. Vincent, H. Li, N. Tilly, S. Chancellor, B. Hecht


The Use and Misuse of Counterfactuals in Fair Machine Learning

A. Kasirzadeh, A. Smart


Documenting Computer Vision Datasets: An Invitation to Reflexive Data Practices

M. Miceli, T. Yang, L. Naudts, M. Schuessler, D. Serbanescu, A. Hanna


Black Feminist Musings on Algorithmic Oppression

L. Hampton


TILT: A GDPR-Aligned Transparency Information Language and Toolkit for Practical Privacy Engineering

E. Grünewald, F. Pallas


The Effect of the Rooney Rule on Implicit Bias in the Long Term

L. Celis, C. Hays, A. Mehrotra, N. Vishnoi


"What We Can’t Measure, We Can’t Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness

M. Andrus, E. Spitzer, J. Brown, A. Xiang


Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems

J. Cobbe, M. Lee, J. Singh


Computer Science Communities: Who is Speaking, and Who is Listening to the Women?

M. Cheong, K. Leins, S. Coghlan


The Distributive Effects of Risk Prediction in Environmental Compliance: Algorithmic Design, Environmental Justice, and Public Policy

E. Benami, R. Whitaker, V. La, H. Lin, B. Anderson, D. Ho


An Agent-based Model to Evaluate Interventions on Online Dating Platforms to Decrease Racial Homogamy

S. Ionescu, A. Hannak, K. Joseph