ACM FAccT 2021 Accepted Papers

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, M. de-Arteaga, 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 

Re-imagining Algorithmic Fairness in India and Beyond

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 

Outlining Traceability: A Principle for Operationalizing Accountability in Computing 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