---
title: "FAccT 2022 — all accepted papers with summaries and citations"
description: "All 181 papers of FAccT 2022 · page 1 of 2, the most cited first; those with our summary link to it."
canonical: "https://research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/2022/papers/"
---
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# FAccT 2022: all accepted papers

181 papers · page 1 of 2 · the most cited first · [← FAccT 2022](https://md.research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/2022/)

**1** [2](https://md.research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/2022/papers/page/2/) [next →](https://md.research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/2022/papers/page/2/)

1. **[Taxonomy of Risks posed by Language Models ↗](https://doi.org/10.1145/3531146.3533088)**Laura Weidinger, Jonathan Uesato, Maribeth Rauh et al.*713 citations*
2. **[A Review of Taxonomies of Explainable Artificial Intelligence (XAI) Methods ↗](https://doi.org/10.1145/3531146.3534639)**Timo Speith*337 citations*
3. **[The Values Encoded in Machine Learning Research ↗](https://doi.org/10.1145/3531146.3533083)**Abeba Birhane, Pratyusha Kalluri, Dallas Card et al.*304 citations*
4. **[The Fallacy of AI Functionality ↗](https://doi.org/10.1145/3531146.3533158)**Inioluwa Deborah Raji, I. Elizabeth Kumar, Aaron Horowitz et al.*239 citations*
5. **[Measuring the Carbon Intensity of AI in Cloud Instances ↗](https://doi.org/10.1145/3531146.3533234)**Jesse Dodge, Taylor Prewitt, Rémi Tachet des Combes et al.*234 citations*
6. **[Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI ↗](https://doi.org/10.1145/3531146.3533231)**Mahima Pushkarna, Andrew Zaldivar, Oddur Kjartansson*222 citations*
7. **[Predictability and Surprise in Large Generative Models](https://md.research.elamur.ai/free/en/papers/ganguli-2022-predictability-surprise-large-generative-models/)**Deep Ganguli, Danny Hernandez, Liane Lovitt et al.*198 citations · our summary*
8. **[Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem ↗](https://doi.org/10.1145/3531146.3533213)**Sasha Costanza‐Chock, Inioluwa Deborah Raji, Joy Buolamwini*192 citations*
9. **[Designing for Responsible Trust in AI Systems: A Communication Perspective ↗](https://doi.org/10.1145/3531146.3533182)**Q. Vera Liao, S. Shyam Sundar*158 citations*
10. **[What Does it Mean for a Language Model to Preserve Privacy? ↗](https://doi.org/10.1145/3531146.3534642)**Hannah Brown, Katherine Lee, Fatemehsadat Mireshghallah et al.*158 citations*
11. **[How Explainability Contributes to Trust in AI ↗](https://doi.org/10.1145/3531146.3533202)**Andrea Ferrario, Michele Loi*153 citations*
12. **[Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash ↗](https://doi.org/10.1145/3531146.3533073)**Lukas Struppek, Dominik Hintersdorf, Daniel Neider et al.*148 citations*
13. **[Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning ↗](https://doi.org/10.1145/3531146.3533150)**A. Feder Cooper, Emanuel Moss, Benjamin Laufer et al.*129 citations*
14. **[The Forgotten Margins of AI Ethics ↗](https://doi.org/10.1145/3531146.3533157)**Abeba Birhane, Elayne Ruane, Thomas Laurent et al.*122 citations*
15. **[News from Generative Artificial Intelligence Is Believed Less ↗](https://doi.org/10.1145/3531146.3533077)**Chiara Longoni, Andrey Fradkin, Luca Cian et al.*120 citations*
16. **[How Different Groups Prioritize Ethical Values for Responsible AI ↗](https://doi.org/10.1145/3531146.3533097)**Maurice Jakesch, Zana Buçinca, Saleema Amershi et al.*112 citations*
17. **[Interactive Model Cards: A Human-Centered Approach to Model Documentation ↗](https://doi.org/10.1145/3531146.3533108)**Anamaria Crisan, Margaret Drouhard, Jesse Vig et al.*101 citations*
18. **[Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging ↗](https://doi.org/10.1145/3531146.3533193)**Riccardo Fogliato, Shreya Chappidi, Matthew P. Lungren et al.*100 citations*
19. **[Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits ↗](https://doi.org/10.1145/3531146.3533113)**Wesley Hanwen Deng, Manish Nagireddy, Michelle Seng Ah Lee et al.*96 citations*
20. **[It’s Just Not That Simple: An Empirical Study of the Accuracy-Explainability Trade-off in Machine Learning for Public Policy ↗](https://doi.org/10.1145/3531146.3533090)**Andrew S Bell, Ian René Solano-Kamaiko, Oded Nov et al.*92 citations*
21. **[Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation ↗](https://doi.org/10.1145/3531146.3533101)**Angelina Wang, V. Ramaswamy, Olga Russakovsky*87 citations*
22. **[At the Tensions of South and North: Critical Roles of Global South Stakeholders in AI Governance ↗](https://doi.org/10.1145/3531146.3533200)**Marie-Thérèse Png*85 citations*
23. **[Goodbye Tracking? Impact of iOS App Tracking Transparency and Privacy Labels ↗](https://doi.org/10.1145/3531146.3533116)**Konrad Kollnig, Anastasia Shuba, Max G. Van Kleek et al.*85 citations*
24. **[Model Multiplicity: Opportunities, Concerns, and Solutions ↗](https://doi.org/10.1145/3531146.3533149)**Emily Black, Manish Raghavan, Solon Barocas*80 citations*
25. **[On the Existence of Simpler Machine Learning Models ↗](https://doi.org/10.1145/3531146.3533232)**Lesia Semenova, Cynthia D Rudin, Ronald Parr*80 citations*
26. **[Tackling Algorithmic Disability Discrimination in the Hiring Process: An Ethical, Legal and Technical Analysis ↗](https://doi.org/10.1145/3531146.3533169)**Maarten Buyl, Christina Cociancig, Cristina Frattone et al.*79 citations*
27. **[Language variation and algorithmic bias: understanding algorithmic bias in British English automatic speech recognition ↗](https://doi.org/10.1145/3531146.3533117)**Nina Markl*78 citations*
28. **[Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders ↗](https://doi.org/10.1145/3531146.3533177)**Logan Stapleton, Min Hun Lee, Diana Qing et al.*76 citations*
29. **[Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts ↗](https://doi.org/10.1145/3531146.3533153)**Sebastian Bordt, Michèle Finck, Éric Raidl et al.*76 citations*
30. **[CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation ↗](https://doi.org/10.1145/3531146.3534647)**Mark Díaz, Ian Kivlichan, Rachel Rosen et al.*72 citations*
31. **[Healthsheet: Development of a Transparency Artifact for Health Datasets ↗](https://doi.org/10.1145/3531146.3533239)**Negar Rostamzadeh, Diana Mincu, Subhrajit Roy et al.*72 citations*
32. **[Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory ↗](https://doi.org/10.1145/3531146.3533135)**Harmanpreet Kaur, Eytan Adar, Éric Gilbert et al.*70 citations*
33. **[Counterfactual Shapley Additive Explanations ↗](https://doi.org/10.1145/3531146.3533168)**Emanuele Albini, Jason Long, Danial Dervovic et al.*66 citations*
34. **[The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations ↗](https://doi.org/10.1145/3531146.3533179)**Aparna Balagopalan, Haoran Zhang, Kimia Hamidieh et al.*65 citations*
35. **[Towards Intersectional Feminist and Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection ↗](https://doi.org/10.1145/3531146.3533132)**Harini Suresh, Rajiv Movva, Amelia Lee Doğan et al.*64 citations*
36. **[“There Is Not Enough Information”: On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making ↗](https://doi.org/10.1145/3531146.3533218)**Jakob Schoeffer, Niklas Kuehl, Yvette Machowski*64 citations*
37. **[Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content? ↗](https://doi.org/10.1145/3531146.3533192)**Patrick Schramowski, Christopher Tauchmann, Kristian Kersting*63 citations*
38. **[Confronting Power and Corporate Capture at the FAccT Conference ↗](https://doi.org/10.1145/3531146.3533194)**Meg Young, Michael A. Katell, P. M. Krafft*63 citations*
39. **[Evaluation Gaps in Machine Learning Practice ↗](https://doi.org/10.1145/3531146.3533233)**Ben Hutchinson, Negar Rostamzadeh, Christina Greer et al.*62 citations*
40. **[Limits and Possibilities for “Ethical AI” in Open Source: A Study of Deepfakes ↗](https://doi.org/10.1145/3531146.3533779)**David Gray Widder, Dawn Nafus, Laura Dabbish et al.*60 citations*
41. **[Are “Intersectionally Fair” AI Algorithms Really Fair to Women of Color? A Philosophical Analysis ↗](https://doi.org/10.1145/3531146.3533114)**Youjin Kong*58 citations*
42. **[The Conflict Between Explainable and Accountable Decision-Making Algorithms ↗](https://doi.org/10.1145/3531146.3534628)**Gabriel Lima, Nina Grgić-Hlača, Jin Keun Jeong et al.*57 citations*
43. **[Behavioral Use Licensing for Responsible AI ↗](https://doi.org/10.1145/3531146.3533143)**Danish Contractor, Daniel McDuff, Julia Katherine Haines et al.*53 citations*
44. **[The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models ↗](https://doi.org/10.1145/3531146.3533240)**Greg d'Eon, Jason d’Eon, James R. Wright et al.*53 citations*
45. **[Fair ranking: a critical review, challenges, and future directions ↗](https://doi.org/10.1145/3531146.3533238)**Gourab K Patro, Lorenzo Porcaro, Laura Mitchell et al.*52 citations*
46. **[Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness ↗](https://doi.org/10.1145/3531146.3533226)**McKane Andrus, Sarah Villeneuve*51 citations*
47. **[Robots Enact Malignant Stereotypes ↗](https://doi.org/10.1145/3531146.3533138)**Andrew Hundt, William S. Agnew, Vicky Zeng et al.*51 citations*
48. **[Four Years of FAccT: A Reflexive, Mixed-Methods Analysis of Research Contributions, Shortcomings, and Future Prospects ↗](https://doi.org/10.1145/3531146.3533107)**Benjamin Laufer, Sameer Jain, A. Feder Cooper et al.*48 citations*
49. **[Bias in Automated Speaker Recognition ↗](https://doi.org/10.1145/3531146.3533089)**Wiebke Toussaint, Aaron Yi Ding*47 citations*
50. **[How Platform-User Power Relations Shape Algorithmic Accountability ↗](https://doi.org/10.1145/3531146.3533237)**Divya Ramesh, Vaishnav Kameswaran, Ding Wang et al.*47 citations*
51. **[Data Governance in the Age of Large-Scale Data-Driven Language Technology ↗](https://doi.org/10.1145/3531146.3534637)**Yacine Jernite, Huu Nguyen, Stella Biderman et al.*45 citations*
52. **[Theories of “Gender” in NLP Bias Research ↗](https://doi.org/10.1145/3531146.3534627)**Hannah Devinney, Jenny Björklund, Henrik Björklund*45 citations*
53. **[The Model Card Authoring Toolkit: Toward Community-centered, Deliberation-driven AI Design ↗](https://doi.org/10.1145/3531146.3533110)**Hong Shen, Leijie Wang, Wesley Hanwen Deng et al.*43 citations*
54. **[The Algorithmic Imprint ↗](https://doi.org/10.1145/3531146.3533186)**Upol Ehsan, Ranjit Singh, Jacob Metcalf et al.*40 citations*
55. **[Measuring Representational Harms in Image Captioning ↗](https://doi.org/10.1145/3531146.3533099)**Angelina Wang, Solon Barocas, Kristen Laird et al.*39 citations*
56. **[Model Explanations with Differential Privacy ↗](https://doi.org/10.1145/3531146.3533235)**Neel Patel, Reza Shokri, Yair Zick*39 citations*
57. **[Towards a multi-stakeholder value-based assessment framework for algorithmic systems ↗](https://doi.org/10.1145/3531146.3533118)**Mireia Yurrita, Dave Murray-Rust, Agathe Balayn et al.*39 citations*
58. **[Gender and Racial Bias in Visual Question Answering Datasets ↗](https://doi.org/10.1145/3531146.3533184)**Yusuke Hirota, Yuta Nakashima, Noa García*36 citations*
59. **[Marrying Fairness and Explainability in Supervised Learning ↗](https://doi.org/10.1145/3531146.3533236)**Przemyslaw A. Grabowicz, Nicholas Perello, Aarshee Mishra*36 citations*
60. **[Disclosure by Design: Designing information disclosures to support meaningful transparency and accountability ↗](https://doi.org/10.1145/3531146.3533133)**Chris Norval, Kristin B. Cornelius, Jennifer Cobbe et al.*35 citations*
61. **[Exploring the Role of Grammar and Word Choice in Bias Toward African American English (AAE) in Hate Speech Classification ↗](https://doi.org/10.1145/3531146.3533144)**Camille Harris, Matan Halevy, Ayanna Howard et al.*35 citations*
62. **[German AI Start-Ups and “AI Ethics”: Using A Social Practice Lens for Assessing and Implementing Socio-Technical Innovation ↗](https://doi.org/10.1145/3531146.3533156)**Mona Sloane, Janina Zakrzewski*34 citations*
63. **[Minimax Demographic Group Fairness in Federated Learning ↗](https://doi.org/10.1145/3531146.3533081)**Afroditi Papadaki, Natalia Martinez, Martín Bertrán et al.*34 citations*
64. **[CounterFAccTual: How FAccT Undermines Its Organizing Principles ↗](https://doi.org/10.1145/3531146.3533241)**Ben Gansky, Sean McDonald*33 citations*
65. **[Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness ↗](https://doi.org/10.1145/3531146.3533221)**Kate Donahue, Alexandra Chouldechova, Krishnaram Kenthapadi*33 citations*
66. **[Why Am I Not Seeing It? Understanding Users’ Needs for Counterfactual Explanations in Everyday Recommendations ↗](https://doi.org/10.1145/3531146.3533189)**Ruoxi Shang, K. J. Kevin Feng, Chirag Suresh Shah*33 citations*
67. **[Algorithmic Tools in Public Employment Services: Towards a Jobseeker-Centric Perspective ↗](https://doi.org/10.1145/3531146.3534631)**Kristen M. Scott, Sonja Mei Wang, Milagros Miceli et al.*32 citations*
68. **[Attribute Privacy: Framework and Mechanisms ↗](https://doi.org/10.1145/3531146.3533139)**Wanrong Zhang, Olga Ohrimenko, Rachel Cummings*32 citations*
69. **[Data augmentation for fairness-aware machine learning ↗](https://doi.org/10.1145/3531146.3534644)**Ioannis Pastaltzidis, Nikolaos Dimitriou, Katherine Quezada Tavárez et al.*32 citations*
70. **[Beyond Fairness: Reparative Algorithms to Address Historical Injustices of Housing Discrimination in the US ↗](https://doi.org/10.1145/3531146.3533160)**Wonyoung So, Pranay Lohia, Rakesh Pimplikar et al.*31 citations*
71. **[Tech Worker Organizing for Power and Accountability ↗](https://doi.org/10.1145/3531146.3533111)**William Boag, Harini Suresh, Bianca A. Lepe et al.*31 citations*
72. **[De-biasing “bias” measurement ↗](https://doi.org/10.1145/3531146.3533105)**Kristian Lum, Yunfeng Zhang, Amanda Bower*30 citations*
73. **[Markedness in Visual Semantic AI ↗](https://doi.org/10.1145/3531146.3533183)**Robert Wolfe, Aylin Caliskan*30 citations*
74. **[Mind the Gap: Autonomous Systems, the Responsibility Gap, and Moral Entanglement ↗](https://doi.org/10.1145/3531146.3533106)**Trystan S. Goetze*30 citations*
75. **[Multi-disciplinary fairness considerations in machine learning for clinical trials ↗](https://doi.org/10.1145/3531146.3533154)**Isabel Chien, Nina Deliu, Richard E. Turner et al.*29 citations*
76. **[Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare ↗](https://doi.org/10.1145/3531146.3533166)**Stephen Pfohl, Yizhe Xu, Agata Foryciarz et al.*29 citations*
77. **[Reliable and Safe Use of Machine Translation in Medical Settings ↗](https://doi.org/10.1145/3531146.3533244)**Nikita Mehandru, Samantha Robertson, Niloufar Salehi*29 citations*
78. **[Social Inclusion in Curated Contexts: Insights from Museum Practices ↗](https://doi.org/10.1145/3531146.3533095)**Han-yin Huang, Cynthia C. S. Liem*29 citations*
79. **[Smallset Timelines: A Visual Representation of Data Preprocessing Decisions ↗](https://doi.org/10.1145/3531146.3533175)**Lydia R Lucchesi, Petra Kuhnert, Jenny L. Davis et al.*28 citations*
80. **[Critical Tools for Machine Learning: Working with Intersectional Critical Concepts in Machine Learning Systems Design ↗](https://doi.org/10.1145/3531146.3533207)**Goda Klumbytė, Claude Draude, Alex S. Taylor*27 citations*
81. **[Designing Up with Value-Sensitive Design: Building a Field Guide for Ethical ML Development ↗](https://doi.org/10.1145/3531146.3534626)**Karen Boyd*27 citations*
82. **[REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research ↗](https://doi.org/10.1145/3531146.3533122)**Jessie J. Smith, Saleema Amershi, Solon Barocas et al.*27 citations*
83. **[DualCF: Efficient Model Extraction Attack from Counterfactual Explanations ↗](https://doi.org/10.1145/3531146.3533188)**Yongjie Wang, Hangwei Qian, Chunyan Miao*26 citations*
84. **[Human Interpretation of Saliency-based Explanation Over Text ↗](https://doi.org/10.1145/3531146.3533127)**Hendrik Schuff, Alon Jacovi, Heike Adel et al.*25 citations*
85. **[Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets ↗](https://doi.org/10.1145/3531146.3534636)**Camila Laranjeira, Joao Macedo, Sandra Avila et al.*25 citations*
86. **[What is Proxy Discrimination? ↗](https://doi.org/10.1145/3531146.3533242)**Michael Carl Tschantz*25 citations*
87. **[AI Ethics Statements ↗](https://doi.org/10.1145/3531146.3533780)**Carolyn Ashurst, Emmie Hine, Paul Sedille et al.*24 citations*
88. **[Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models ↗](https://doi.org/10.1145/3531146.3533204)**Emily Black, Hadi Elzayn, Alexandra Chouldechova et al.*24 citations*
89. **[Assessing Annotator Identity Sensitivity via Item Response Theory: A Case Study in a Hate Speech Corpus ↗](https://doi.org/10.1145/3531146.3533216)**Pratik Sachdeva, Renata Barreto, Claudia von Vacano et al.*24 citations*
90. **[Female, white, 27? Bias Evaluation on Data and Algorithms for Affect Recognition in Faces ↗](https://doi.org/10.1145/3531146.3533159)**Jaspar Pahl, Ines Rieger, Anna Möller et al.*23 citations*
91. **[Providing Item-side Individual Fairness for Deep Recommender Systems ↗](https://doi.org/10.1145/3531146.3533079)**Xiuling Wang, Hui Wang*23 citations*
92. **[Achieving Fairness via Post-Processing in Web-Scale Recommender Systems✱ ↗](https://doi.org/10.1145/3531146.3533136)**Preetam Nandy, Cyrus J. DiCiccio, Divya Venugopalan et al.*22 citations*
93. **[Keep Your Friends Close and Your Counterfactuals Closer: Improved Learning From Closest Rather Than Plausible Counterfactual Explanations in an Abstract Setting ↗](https://doi.org/10.1145/3531146.3534630)**Ulrike Kuhl, André Artelt, Barbara Hammer*22 citations*
94. **[Rational Shapley Values ↗](https://doi.org/10.1145/3531146.3533170)**David Watson*22 citations*
95. **[What People Think AI Should Infer From Faces ↗](https://doi.org/10.1145/3531146.3533080)**Severin Engelmann, Chiara Ullstein, Orestis Papakyriakopoulos et al.*22 citations*
96. **[Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms ↗](https://doi.org/10.1145/3531146.3533205)**Terrence Neumann, Maria De‐Arteaga, Sina Fazelpour*21 citations*
97. **[The Effects of Crowd Worker Biases in Fact-Checking Tasks ↗](https://doi.org/10.1145/3531146.3534629)**Tim Draws, David La Barbera, Michael Soprano et al.*21 citations*
98. **[A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication ↗](https://doi.org/10.1145/3531146.3533086)**Alexandra Sasha Luccioni, Frances Corry, Hamsini Sridharan et al.*20 citations*
99. **[#FuckTheAlgorithm: algorithmic imaginaries and political resistance ↗](https://doi.org/10.1145/3531146.3533072)**Garfield Benjamin*19 citations*
100. **[Adaptive Sampling Strategies to Construct Equitable Training Datasets ↗](https://doi.org/10.1145/3531146.3533203)**William Cai, Ro Encarnación, Bobbie Chern et al.*19 citations*

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