FAccT 2022: all accepted papers
- From Demo to Design in Teaching Machine Learning ↗Karl-Emil Kjær Bilstrup, Magnus Høholt Kaspersen, Ira Assent et al.19 citations
- Limits of Individual Consent and Models of Distributed Consent in Online Social Networks ↗Juniper L. Lovato, Antoine Allard, Randall Harp et al.19 citations
- System Safety and Artificial Intelligence ↗Roel Dobbe19 citations
- Enforcing Group Fairness in Algorithmic Decision Making: Utility Maximization Under Sufficiency ↗Joachim Baumann, Anikó Hannák, Christoph Heitz18 citations
- Evidence for Hypodescent in Visual Semantic AI ↗Robert Wolfe, Mahzarin R. Banaji, Aylin Caliskan18 citations
- A Data-driven analysis of the interplay between Criminological theory and predictive policing algorithms ↗Adriane P. Chapman, Philip J Grylls, Pamela Ugwudike et al.17 citations
- An Algorithmic Framework for Bias Bounties ↗Ira Globus-Harris, Michael J. Kearns, Aaron Roth17 citations
- Fairness Indicators for Systematic Assessments of Visual Feature Extractors ↗Priya Goyal, Adriana Romero, Caner Hazırbaş et al.17 citations
- Fast online ranking with fairness of exposure ↗Nicolas Usunier, Virginie Do, Elvis Dohmatob17 citations
- Subverting machines, fluctuating identities: Re-learning human categorization ↗Christina Lu, Jackie Kay, Kevin R. McKee17 citations
- Towards Fair Unsupervised Learning ↗Francois Buet-Golfouse, Islam Utyagulov17 citations
- Surfacing Racial Stereotypes through Identity Portrayal ↗Gauri Kambhatla, Ian Stewart, Rada F. Mihalcea15 citations
- The Long Arc of Fairness: Formalisations and Ethical Discourse ↗Pola Schwöbel, Peter Remmers15 citations
- AI Opacity and Explainability in Tort Litigation ↗Henry Fraser, Rhyle Simcock, Aaron Snoswell14 citations
- Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery ↗Aida Rahmattalabi, Phebe Vayanos, Kathryn Dullerud et al.14 citations
- Learning to Limit Data Collection via Scaling Laws: A Computational Interpretation for the Legal Principle of Data Minimization ↗Divya Shanmugam, Fernando Díaz, Samira Shabanian et al.14 citations
- Measuring Fairness of Rankings under Noisy Sensitive Information ↗Azin Ghazimatin, Matthäus Kleindeßner, Chris Russell et al.13 citations
- Selection in the Presence of Implicit Bias: The Advantage of Intersectional Constraints ↗Anay Mehrotra, Bary Pradelski, Nisheeth K. Vishnoi13 citations
- Accountable Data: The Politics and Pragmatics of Disclosure Datasets ↗Lindsay Poirier12 citations
- Automating Care: Online Food Delivery Work During the CoVID-19 Crisis in India ↗Anubha Singh, Tina Park12 citations
- Disentangling the Components of Ethical Research in Machine Learning ↗Carolyn Ashurst, Solon Barocas, Rosie Campbell et al.12 citations
- How are ML-Based Online Content Moderation Systems Actually Used? Studying Community Size, Local Activity, and Disparate Treatment ↗Leijie Wang, Haiyi Zhu12 citations
- Understanding and Being Understood: User Strategies for Identifying and Recovering From Mistranslations in Machine Translation-Mediated Chat ↗Samantha Robertson, Mark Díaz12 citations
- Affirmative Algorithms: Relational Equality as Algorithmic Fairness ↗Marilyn Zhang11 citations
- Brain Computer Interfaces and Human Rights: Brave new rights for a brave new world ↗Marietjie Botes11 citations
- GetFair: Generalized Fairness Tuning of Classification Models ↗Sandipan Sikdar, Florian Lemmerich, Markus Strohmaier11 citations
- Models for understanding and quantifying feedback in societal systems ↗Lydia Reader, Pegah Nokhiz, Cathleen A. Power et al.11 citations
- Promoting Ethical Awareness in Communication Analysis: Investigating Potentials and Limits of Visual Analytics for Intelligence Applications ↗Maximilian T. Fischer, Simon David Hirsbrunner, Wolfgang Jentner et al.11 citations
- What is the Bureaucratic Counterfactual? Categorical versus Algorithmic Prioritization in U.S. Social Policy ↗Rebecca Ann Johnson, Simone Zhang11 citations
- Decision Time: Normative Dimensions of Algorithmic Speed ↗Daniel Susser10 citations
- Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent ↗Junyuan Hong, Zhangyang Wang, Jiayu Zhou10 citations
- Flipping the Script on Criminal Justice Risk Assessment: An actuarial model for assessing the risk the federal sentencing system poses to defendants ↗Mikaela Meyer, Aaron Horowitz, Erica Marshall et al.10 citations
- Is calibration a fairness requirement? ↗Michele Loi, Christoph Heitz10 citations
- Subverting Fair Image Search with Generative Adversarial Perturbations ↗Avijit Ghosh, Matthew Jagielski, Christo Wilson10 citations
- The Alchemy of Trust: The Creative Act of Designing Trustworthy Socio-Technical Systems ↗Lauren Thornton, Bran Knowles, Gordon S. Blair10 citations
- FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes ↗Alan Mishler, Edward H. Kennedy9 citations
- Imperfect Inferences: A Practical Assessment ↗Aaron Rieke, Vincent Southerland, Dan Svirsky et al.9 citations
- People are not coins: Morally distinct types of predictions necessitate different fairness constraints ↗Eleonora Viganò, Corinna Hertweck, Christoph Heitz et al.9 citations
- Promoting Fairness in Learned Models by Learning to Active Learn under Parity Constraints ↗Amr Sharaf, Hal Daumé, Renkun Ni9 citations
- Stop the Spread: A Contextual Integrity Perspective on the Appropriateness of COVID-19 Vaccination Certificates ↗Shikun Zhang, Yan Shvartzshnaider, Yuanyuan Feng et al.9 citations
- Trade-offs between Group Fairness Metrics in Societal Resource Allocation ↗Tasfia Mashiat, Xavier Gitiaux, Huzefa Rangwala et al.9 citations
- Fairness-aware Model-agnostic Positive and Unlabeled Learning ↗Ziwei Wu, Jingrui He8 citations
- Making the Unaccountable Internet: The Changing Meaning of Accounting in the Early ARPANET ↗A. Feder Cooper, Gili Vidan8 citations
- Multiaccurate Proxies for Downstream Fairness ↗Emily Diana, Wesley Gill, Michael J. Kearns et al.8 citations
- Pareto-Improving Data-Sharing✱ ↗Ronen Gradwohl, Moshe Tennenholtz8 citations
- Prediction as Extraction of Discretion ↗Sun‐ha Hong8 citations
- ABCinML: Anticipatory Bias Correction in Machine Learning Applications ↗Abdulaziz A. Almuzaini, Chidansh Bhatt, David M. Pennock et al.7 citations
- Don’t Throw it Away! The Utility of Unlabeled Data in Fair Decision Making ↗Miriam Rateike, Ayan Majumdar, Olga Mineeva et al.7 citations
- Equitable Public Bus Network Optimization for Social Good: A Case Study of Singapore ↗David Alexander Tedjopurnomo, Zhifeng Bao, Farhana Murtaza Choudhury et al.7 citations
- Locality of Technical Objects and the Role of Structural Interventions for Systemic Change ↗Efrén Cruz Cortés, Sarah Michele Rajtmajer, Debashis Ghosh7 citations
- Regulating Facial Processing Technologies: Tensions Between Legal and Technical Considerations in the Application of Illinois BIPA ↗Rui-Jie Yew, Alice Xiang7 citations
- Should attention be all we need? The epistemic and ethical implications of unification in machine learning ↗Nic Fishman, Leif Hancox-Li7 citations
- The Case for a Legal Compliance API for the Enforcement of the EU’s Digital Services Act on Social Media Platforms ↗Cătălina Goanță, Thales Bertaglia, Adriana Iamnitchi7 citations
- Don’t let Ricci v. DeStefano Hold You Back: A Bias-Aware Legal Solution to the Hiring Paradox ↗Jad Salem, Deven R. Desai, Swati Gupta6 citations
- Equi-explanation Maps: Concise and Informative Global Summary Explanations ↗Tanya Chowdhury, Razieh Rahimi, James Allan6 citations
- Ethical Concerns and Perceptions of Consumer Neurotechnology from Lived Experiences of Mental Workload Tracking ↗Serena Midha, Max L. Wilson, Sarah Sharples6 citations
- Normative Logics of Algorithmic Accountability ↗Joseph Donia6 citations
- On the Fairness of Machine-Assisted Human Decisions ↗Bryce McLaughlin, Jann Spiess, Talia B. Gillis6 citations
- Fairness for AUC via Feature Augmentation ↗Hortense Fong, Vineet Kumar, Anay Mehrotra et al.5 citations
- A Data-Driven Simulation of the New York State Foster Care System ↗Yuhao Du, Stefania Ionescu, Melanie Sage et al.4 citations
- Adversarial Scrutiny of Evidentiary Statistical Software ↗Rediet Abebe, Moritz Hardt, Angela Jin et al.4 citations
- Algorithms Off-limits? ↗Kristina Irion4 citations
- On the Power of Randomization in Fair Classification and Representation ↗Sushant Agarwal, Amit Deshpande4 citations
- Interdisciplinarity, Gender Diversity, and Network Structure Predict the Centrality of AI Organizations ↗Madalina Vlasceanu, Miroslav Dudı́k, Ida Momennejad3 citations
- Models for Classifying AI Systems: the Switch, the Ladder, and the Matrix ↗Jakob Mökander, Margi Sheth, David Watson et al.3 citations
- Multi Stage Screening: Enforcing Fairness and Maximizing Efficiency in a Pre-Existing Pipeline ↗Avrim L. Blum, Kevin Stangl, Ali Vakilian3 citations
- Auditing for Gerrymandering by Identifying Disenfranchised Individuals ↗Jerry Lin, Carolyn G. Chen, Marc Chmielewski et al.2 citations
- Best vs. All: Equity and Accuracy of Standardized Test Score Reporting ↗Mingzi Niu, Sampath Kannan, Aaron Roth et al.2 citations
- Fair Representation Clustering with Several Protected Classes ↗Zhen Dai, Yury Makarychev, Ali Vakilian2 citations
- Testing Concerns about Technology's Behavioral Impacts with N-of-one Trials ↗J. Nathan Matias, Eric Pennington, Zenobia T. Chan2 citations
- The Death of the Legal Subject: How Predictive Algorithms Are (Re)constructing Legal Subjectivity ↗Katrina Geddes2 citations
- Trucks Don’t Mean Trump: Diagnosing Human Error in Image Analysis ↗J.D. Zamfirescu-Pereira, Jerry Chen, Emily Wen et al.2 citations
- Uncertainty and the Social Planner’s Problem: Why Sample Complexity Matters ↗Cyrus Cousins2 citations
- An Outcome Test of Discrimination for Ranked Lists ↗Jonathan Roth, Guillaume Saint-Jacques, YinYin Yu1 citation
- Causal Inference Struggles with Agency on Online Platforms ↗Smitha Milli, Luca Belli, Moritz Hardt1 citation
- Characterizing Properties and Trade-offs of Centralized Delegation Mechanisms in Liquid Democracy ↗Brian Brubach, Audrey Ballarin, Heeba Nazeer1 citation
- NeuroView-RNN: It’s About Time ↗CJ Barberan, Sina Alemohammad, Naiming Liu et al.1 citation
- Treatment Effect Risk: Bounds and Inference ↗Nathan Kallus
- When learning becomes impossible ↗Nicholas M. Asher, Julie Hunter
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