FAccT 2022: all accepted papers
- Taxonomy of Risks posed by Language Models ↗Laura Weidinger, Jonathan Uesato, Maribeth Rauh et al.713 citations
- A Review of Taxonomies of Explainable Artificial Intelligence (XAI) Methods ↗Timo Speith337 citations
- The Values Encoded in Machine Learning Research ↗Abeba Birhane, Pratyusha Kalluri, Dallas Card et al.304 citations
- The Fallacy of AI Functionality ↗Inioluwa Deborah Raji, I. Elizabeth Kumar, Aaron Horowitz et al.239 citations
- Measuring the Carbon Intensity of AI in Cloud Instances ↗Jesse Dodge, Taylor Prewitt, Rémi Tachet des Combes et al.234 citations
- Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI ↗Mahima Pushkarna, Andrew Zaldivar, Oddur Kjartansson222 citations
- Predictability and Surprise in Large Generative ModelsDeep Ganguli, Danny Hernandez, Liane Lovitt et al.198 citations · our summary
- Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem ↗Sasha Costanza‐Chock, Inioluwa Deborah Raji, Joy Buolamwini192 citations
- Designing for Responsible Trust in AI Systems: A Communication Perspective ↗Q. Vera Liao, S. Shyam Sundar158 citations
- What Does it Mean for a Language Model to Preserve Privacy? ↗Hannah Brown, Katherine Lee, Fatemehsadat Mireshghallah et al.158 citations
- How Explainability Contributes to Trust in AI ↗Andrea Ferrario, Michele Loi153 citations
- Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash ↗Lukas Struppek, Dominik Hintersdorf, Daniel Neider et al.148 citations
- Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning ↗A. Feder Cooper, Emanuel Moss, Benjamin Laufer et al.129 citations
- The Forgotten Margins of AI Ethics ↗Abeba Birhane, Elayne Ruane, Thomas Laurent et al.122 citations
- News from Generative Artificial Intelligence Is Believed Less ↗Chiara Longoni, Andrey Fradkin, Luca Cian et al.120 citations
- How Different Groups Prioritize Ethical Values for Responsible AI ↗Maurice Jakesch, Zana Buçinca, Saleema Amershi et al.112 citations
- Interactive Model Cards: A Human-Centered Approach to Model Documentation ↗Anamaria Crisan, Margaret Drouhard, Jesse Vig et al.101 citations
- Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging ↗Riccardo Fogliato, Shreya Chappidi, Matthew P. Lungren et al.100 citations
- Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits ↗Wesley Hanwen Deng, Manish Nagireddy, Michelle Seng Ah Lee et al.96 citations
- It’s Just Not That Simple: An Empirical Study of the Accuracy-Explainability Trade-off in Machine Learning for Public Policy ↗Andrew S Bell, Ian René Solano-Kamaiko, Oded Nov et al.92 citations
- Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation ↗Angelina Wang, V. Ramaswamy, Olga Russakovsky87 citations
- At the Tensions of South and North: Critical Roles of Global South Stakeholders in AI Governance ↗Marie-Thérèse Png85 citations
- Goodbye Tracking? Impact of iOS App Tracking Transparency and Privacy Labels ↗Konrad Kollnig, Anastasia Shuba, Max G. Van Kleek et al.85 citations
- Model Multiplicity: Opportunities, Concerns, and Solutions ↗Emily Black, Manish Raghavan, Solon Barocas80 citations
- On the Existence of Simpler Machine Learning Models ↗Lesia Semenova, Cynthia D Rudin, Ronald Parr80 citations
- Tackling Algorithmic Disability Discrimination in the Hiring Process: An Ethical, Legal and Technical Analysis ↗Maarten Buyl, Christina Cociancig, Cristina Frattone et al.79 citations
- Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders ↗Logan Stapleton, Min Hun Lee, Diana Qing et al.76 citations
- Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts ↗Sebastian Bordt, Michèle Finck, Éric Raidl et al.76 citations
- CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation ↗Mark Díaz, Ian Kivlichan, Rachel Rosen et al.72 citations
- Healthsheet: Development of a Transparency Artifact for Health Datasets ↗Negar Rostamzadeh, Diana Mincu, Subhrajit Roy et al.72 citations
- Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory ↗Harmanpreet Kaur, Eytan Adar, Éric Gilbert et al.70 citations
- Counterfactual Shapley Additive Explanations ↗Emanuele Albini, Jason Long, Danial Dervovic et al.66 citations
- The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations ↗Aparna Balagopalan, Haoran Zhang, Kimia Hamidieh et al.65 citations
- Towards Intersectional Feminist and Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection ↗Harini Suresh, Rajiv Movva, Amelia Lee Doğan et al.64 citations
- “There Is Not Enough Information”: On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making ↗Jakob Schoeffer, Niklas Kuehl, Yvette Machowski64 citations
- Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content? ↗Patrick Schramowski, Christopher Tauchmann, Kristian Kersting63 citations
- Confronting Power and Corporate Capture at the FAccT Conference ↗Meg Young, Michael A. Katell, P. M. Krafft63 citations
- Evaluation Gaps in Machine Learning Practice ↗Ben Hutchinson, Negar Rostamzadeh, Christina Greer et al.62 citations
- Limits and Possibilities for “Ethical AI” in Open Source: A Study of Deepfakes ↗David Gray Widder, Dawn Nafus, Laura Dabbish et al.60 citations
- The Conflict Between Explainable and Accountable Decision-Making Algorithms ↗Gabriel Lima, Nina Grgić-Hlača, Jin Keun Jeong et al.57 citations
- Behavioral Use Licensing for Responsible AI ↗Danish Contractor, Daniel McDuff, Julia Katherine Haines et al.53 citations
- The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models ↗Greg d'Eon, Jason d’Eon, James R. Wright et al.53 citations
- Fair ranking: a critical review, challenges, and future directions ↗Gourab K Patro, Lorenzo Porcaro, Laura Mitchell et al.52 citations
- Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness ↗McKane Andrus, Sarah Villeneuve51 citations
- Robots Enact Malignant Stereotypes ↗Andrew Hundt, William S. Agnew, Vicky Zeng et al.51 citations
- Four Years of FAccT: A Reflexive, Mixed-Methods Analysis of Research Contributions, Shortcomings, and Future Prospects ↗Benjamin Laufer, Sameer Jain, A. Feder Cooper et al.48 citations
- Bias in Automated Speaker Recognition ↗Wiebke Toussaint, Aaron Yi Ding47 citations
- How Platform-User Power Relations Shape Algorithmic Accountability ↗Divya Ramesh, Vaishnav Kameswaran, Ding Wang et al.47 citations
- Data Governance in the Age of Large-Scale Data-Driven Language Technology ↗Yacine Jernite, Huu Nguyen, Stella Biderman et al.45 citations
- Theories of “Gender” in NLP Bias Research ↗Hannah Devinney, Jenny Björklund, Henrik Björklund45 citations
- The Model Card Authoring Toolkit: Toward Community-centered, Deliberation-driven AI Design ↗Hong Shen, Leijie Wang, Wesley Hanwen Deng et al.43 citations
- The Algorithmic Imprint ↗Upol Ehsan, Ranjit Singh, Jacob Metcalf et al.40 citations
- Measuring Representational Harms in Image Captioning ↗Angelina Wang, Solon Barocas, Kristen Laird et al.39 citations
- Model Explanations with Differential Privacy ↗Neel Patel, Reza Shokri, Yair Zick39 citations
- Towards a multi-stakeholder value-based assessment framework for algorithmic systems ↗Mireia Yurrita, Dave Murray-Rust, Agathe Balayn et al.39 citations
- Gender and Racial Bias in Visual Question Answering Datasets ↗Yusuke Hirota, Yuta Nakashima, Noa García36 citations
- Marrying Fairness and Explainability in Supervised Learning ↗Przemyslaw A. Grabowicz, Nicholas Perello, Aarshee Mishra36 citations
- Disclosure by Design: Designing information disclosures to support meaningful transparency and accountability ↗Chris Norval, Kristin B. Cornelius, Jennifer Cobbe et al.35 citations
- Exploring the Role of Grammar and Word Choice in Bias Toward African American English (AAE) in Hate Speech Classification ↗Camille Harris, Matan Halevy, Ayanna Howard et al.35 citations
- German AI Start-Ups and “AI Ethics”: Using A Social Practice Lens for Assessing and Implementing Socio-Technical Innovation ↗Mona Sloane, Janina Zakrzewski34 citations
- Minimax Demographic Group Fairness in Federated Learning ↗Afroditi Papadaki, Natalia Martinez, Martín Bertrán et al.34 citations
- CounterFAccTual: How FAccT Undermines Its Organizing Principles ↗Ben Gansky, Sean McDonald33 citations
- Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness ↗Kate Donahue, Alexandra Chouldechova, Krishnaram Kenthapadi33 citations
- Why Am I Not Seeing It? Understanding Users’ Needs for Counterfactual Explanations in Everyday Recommendations ↗Ruoxi Shang, K. J. Kevin Feng, Chirag Suresh Shah33 citations
- Algorithmic Tools in Public Employment Services: Towards a Jobseeker-Centric Perspective ↗Kristen M. Scott, Sonja Mei Wang, Milagros Miceli et al.32 citations
- Attribute Privacy: Framework and Mechanisms ↗Wanrong Zhang, Olga Ohrimenko, Rachel Cummings32 citations
- Data augmentation for fairness-aware machine learning ↗Ioannis Pastaltzidis, Nikolaos Dimitriou, Katherine Quezada Tavárez et al.32 citations
- Beyond Fairness: Reparative Algorithms to Address Historical Injustices of Housing Discrimination in the US ↗Wonyoung So, Pranay Lohia, Rakesh Pimplikar et al.31 citations
- Tech Worker Organizing for Power and Accountability ↗William Boag, Harini Suresh, Bianca A. Lepe et al.31 citations
- De-biasing “bias” measurement ↗Kristian Lum, Yunfeng Zhang, Amanda Bower30 citations
- Markedness in Visual Semantic AI ↗Robert Wolfe, Aylin Caliskan30 citations
- Mind the Gap: Autonomous Systems, the Responsibility Gap, and Moral Entanglement ↗Trystan S. Goetze30 citations
- Multi-disciplinary fairness considerations in machine learning for clinical trials ↗Isabel Chien, Nina Deliu, Richard E. Turner et al.29 citations
- Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare ↗Stephen Pfohl, Yizhe Xu, Agata Foryciarz et al.29 citations
- Reliable and Safe Use of Machine Translation in Medical Settings ↗Nikita Mehandru, Samantha Robertson, Niloufar Salehi29 citations
- Social Inclusion in Curated Contexts: Insights from Museum Practices ↗Han-yin Huang, Cynthia C. S. Liem29 citations
- Smallset Timelines: A Visual Representation of Data Preprocessing Decisions ↗Lydia R Lucchesi, Petra Kuhnert, Jenny L. Davis et al.28 citations
- Critical Tools for Machine Learning: Working with Intersectional Critical Concepts in Machine Learning Systems Design ↗Goda Klumbytė, Claude Draude, Alex S. Taylor27 citations
- REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research ↗Jessie J. Smith, Saleema Amershi, Solon Barocas et al.27 citations
- DualCF: Efficient Model Extraction Attack from Counterfactual Explanations ↗Yongjie Wang, Hangwei Qian, Chunyan Miao26 citations
- Human Interpretation of Saliency-based Explanation Over Text ↗Hendrik Schuff, Alon Jacovi, Heike Adel et al.25 citations
- Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets ↗Camila Laranjeira, Joao Macedo, Sandra Avila et al.25 citations
- What is Proxy Discrimination? ↗Michael Carl Tschantz25 citations
- AI Ethics Statements ↗Carolyn Ashurst, Emmie Hine, Paul Sedille et al.24 citations
- Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models ↗Emily Black, Hadi Elzayn, Alexandra Chouldechova et al.24 citations
- Assessing Annotator Identity Sensitivity via Item Response Theory: A Case Study in a Hate Speech Corpus ↗Pratik Sachdeva, Renata Barreto, Claudia von Vacano et al.24 citations
- Female, white, 27? Bias Evaluation on Data and Algorithms for Affect Recognition in Faces ↗Jaspar Pahl, Ines Rieger, Anna Möller et al.23 citations
- Providing Item-side Individual Fairness for Deep Recommender Systems ↗Xiuling Wang, Hui Wang23 citations
- Achieving Fairness via Post-Processing in Web-Scale Recommender Systems✱ ↗Preetam Nandy, Cyrus J. DiCiccio, Divya Venugopalan et al.22 citations
- Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting ↗Ulrike Kuhl, André Artelt, Barbara Hammer22 citations
- Rational Shapley Values ↗David Watson22 citations
- What People Think AI Should Infer From Faces ↗Severin Engelmann, Chiara Ullstein, Orestis Papakyriakopoulos et al.22 citations
- Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms ↗Terrence Neumann, Maria De‐Arteaga, Sina Fazelpour21 citations
- The Effects of Crowd Worker Biases in Fact-Checking Tasks ↗Tim Draws, David La Barbera, Michael Soprano et al.21 citations
- A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication ↗Alexandra Sasha Luccioni, Frances Corry, Hamsini Sridharan et al.20 citations
- #FuckTheAlgorithm: algorithmic imaginaries and political resistance ↗Garfield Benjamin19 citations
- Adaptive Sampling Strategies to Construct Equitable Training Datasets ↗William Cai, Ro Encarnación, Bobbie Chern et al.19 citations
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