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