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FAccT 2022: Seoul, Korea
- FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21 - 24, 2022. ACM 2022, ISBN 978-1-4503-9352-2
- Madalina Vlasceanu, Miroslav Dudík, Ida Momennejad:
Interdisciplinarity, Gender Diversity, and Network Structure Predict the Centrality of AI Organizations. 1-10 - Junyuan Hong, Zhangyang Wang, Jiayu Zhou:
Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent. 11-35 - Adriane Chapman, Philip Grylls, Pamela Ugwudike, David Gammack, Jacqui Ayling:
A Data-driven analysis of the interplay between Criminological theory and predictive policing algorithms. 36-45 - Garfield Benjamin:
#FuckTheAlgorithm: algorithmic imaginaries and political resistance. 46-57 - Lukas Struppek, Dominik Hintersdorf, Daniel Neider
, Kristian Kersting:
Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash. 58-69 - Priya Goyal, Adriana Romero-Soriano, Caner Hazirbas, Levent Sagun, Nicolas Usunier:
Fairness Indicators for Systematic Assessments of Visual Feature Extractors. 70-88 - Katharina Simbeck:
FAccT-Check on AI regulation: Systematic Evaluation of AI Regulation on the Example of the Legislation on the Use of AI in the Public Sector in the German Federal State of Schleswig-Holstein. 89-96 - Chiara Longoni, Andrey Fradkin, Luca Cian, Gordon Pennycook:
News from Generative Artificial Intelligence Is Believed Less. 97-106 - Nicholas Asher, Julie Hunter:
When learning becomes impossible. 107-116 - Xiuling Wang, Wendy Hui Wang:
Providing Item-side Individual Fairness for Deep Recommender Systems. 117-127 - Severin Engelmann, Chiara Ullstein, Orestis Papakyriakopoulos, Jens Grossklags:
What People Think AI Should Infer From Faces. 128-141 - Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues:
Minimax Demographic Group Fairness in Federated Learning. 142-159 - Anubha Singh, Tina Park:
Automating Care: Online Food Delivery Work During the CoVID-19 Crisis in India. 160-172 - Abeba Birhane, Pratyusha Kalluri, Dallas Card, William Agnew, Ravit Dotan, Michelle Bao:
The Values Encoded in Machine Learning Research. 173-184 - Henry Fraser, Rhyle Simcock, Aaron J. Snoswell
:
AI Opacity and Explainability in Tort Litigation. 185-196 - Ronen Gradwohl
, Moshe Tennenholtz:
Pareto-Improving Data-Sharing✱. 197-198 - Alexandra Sasha Luccioni, Frances Corry, Hamsini Sridharan, Mike Ananny, Jason Schultz, Kate Crawford:
A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication. 199-212 - Nathan Kallus:
Treatment Effect Risk: Bounds and Inference. 213 - Laura Weidinger, Jonathan Uesato, Maribeth Rauh, Conor Griffin, Po-Sen Huang, John Mellor, Amelia Glaese, Myra Cheng, Borja Balle, Atoosa Kasirzadeh
, Courtney Biles, Sasha Brown, Zac Kenton, Will Hawkins, Tom Stepleton, Abeba Birhane, Lisa Anne Hendricks, Laura Rimell, William Isaac, Julia Haas, Sean Legassick, Geoffrey Irving, Iason Gabriel:
Taxonomy of Risks posed by Language Models. 214-229 - Wiebke Toussaint Hutiri, Aaron Yi Ding
:
Bias in Automated Speaker Recognition. 230-247 - Andrew Bell, Ian Solano-Kamaiko, Oded Nov, Julia Stoyanovich:
It's Just Not That Simple: An Empirical Study of the Accuracy-Explainability Trade-off in Machine Learning for Public Policy. 248-266 - You Jeen Ha:
South Korean Public Value Coproduction Towards'AI for Humanity': A Synergy of Sociocultural Norms and Multistakeholder Deliberation in Bridging the Design and Implementation of National AI Ethics Guidelines. 267-277 - David Alexander Tedjopurnomo
, Zhifeng Bao, Farhana Murtaza Choudhury, Hui Luo
, A. Kai Qin:
Equitable Public Bus Network Optimization for Social Good: A Case Study of Singapore. 278-288 - Sandipan Sikdar, Florian Lemmerich, Markus Strohmaier:
GetFair: Generalized Fairness Tuning of Classification Models. 289-299 - Han-Yin Huang, Cynthia C. S. Liem
:
Social Inclusion in Curated Contexts: Insights from Museum Practices. 300-309 - Maurice Jakesch, Zana Buçinca, Saleema Amershi, Alexandra Olteanu:
How Different Groups Prioritize Ethical Values for Responsible AI. 310-323 - Angelina Wang, Solon Barocas, Kristen Laird, Hanna M. Wallach:
Measuring Representational Harms in Image Captioning. 324-335 - Angelina Wang, Vikram V. Ramaswamy, Olga Russakovsky:
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation. 336-349 - Jonathan Roth, Guillaume Saint-Jacques, YinYin Yu:
An Outcome Test of Discrimination for Ranked Lists. 350-356 - Smitha Milli, Luca Belli, Moritz Hardt:
Causal Inference Struggles with Agency on Online Platforms. 357-365 - Mikaela Meyer, Aaron Horowitz, Erica Marshall, Kristian Lum:
Flipping the Script on Criminal Justice Risk Assessment: An actuarial model for assessing the risk the federal sentencing system poses to defendants. 366-378 - Kristian Lum, Yunfeng Zhang, Amanda Bower:
De-biasing "bias" measurement. 379-389 - Trystan S. Goetze
:
Mind the Gap: Autonomous Systems, the Responsibility Gap, and Moral Entanglement. 390-400 - Benjamin Laufer, Sameer Jain, A. Feder Cooper, Jon M. Kleinberg, Hoda Heidari:
Four Years of FAccT: A Reflexive, Mixed-Methods Analysis of Research Contributions, Shortcomings, and Future Prospects. 401-426 - Anamaria Crisan, Margaret Drouhard, Jesse Vig, Nazneen Rajani:
Interactive Model Cards: A Human-Centered Approach to Model Documentation. 427-439 - Hong Shen, Leijie Wang, Wesley H. Deng, Ciell Brusse, Ronald Velgersdijk, Haiyi Zhu:
The Model Card Authoring Toolkit: Toward Community-centered, Deliberation-driven AI Design. 440-451 - William Boag, Harini Suresh, Bianca Lepe, Catherine D'Ignazio:
Tech Worker Organizing for Power and Accountability. 452-463 - Tanya Chowdhury, Razieh Rahimi, James Allan:
Equi-explanation Maps: Concise and Informative Global Summary Explanations. 464-472 - Wesley Hanwen Deng, Manish Nagireddy, Michelle Seng Ah Lee, Jatinder Singh, Zhiwei Steven Wu, Kenneth Holstein, Haiyi Zhu:
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits. 473-484 - Youjin Kong:
Are "Intersectionally Fair" AI Algorithms Really Fair to Women of Color? A Philosophical Analysis. 485-494 - Marilyn Zhang:
Affirmative Algorithms: Relational Equality as Algorithmic Fairness. 495-507 - Konrad Kollnig, Anastasia Shuba, Max Van Kleek, Reuben Binns, Nigel Shadbolt:
Goodbye Tracking? Impact of iOS App Tracking Transparency and Privacy Labels. 508-520 - Nina Markl
:
Language variation and algorithmic bias: understanding algorithmic bias in British English automatic speech recognition. 521-534 - Mireia Yurrita, Dave Murray-Rust, Agathe Balayn, Alessandro Bozzon
:
Towards a multi-stakeholder value-based assessment framework for algorithmic systems. 535-563 - Serena Midha, Max L. Wilson, Sarah Sharples:
Ethical Concerns and Perceptions of Consumer Neurotechnology from Lived Experiences of Mental Workload Tracking. 564-573 - Mingzi Niu, Sampath Kannan, Aaron Roth, Rakesh Vohra:
Best vs. All: Equity and Accuracy of Standardized Test Score Reporting. 574-586 - Jessie J. Smith, Saleema Amershi, Solon Barocas, Hanna M. Wallach, Jennifer Wortman Vaughan:
REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research. 587-597 - Joseph Donia:
Normative Logics of Algorithmic Accountability. 598 - Anay Mehrotra, Bary S. R. Pradelski, Nisheeth K. Vishnoi:
Selection in the Presence of Implicit Bias: The Advantage of Intersectional Constraints. 599-609 - Hortense Fong, Vineet Kumar, Anay Mehrotra, Nisheeth K. Vishnoi:
Fairness for AUC via Feature Augmentation. 610 - Hendrik Schuff, Alon Jacovi, Heike Adel, Yoav Goldberg, Ngoc Thang Vu:
Human Interpretation of Saliency-based Explanation Over Text. 611-636 - Avijit Ghosh, Matthew Jagielski, Christo Wilson
:
Subverting Fair Image Search with Generative Adversarial Perturbations. 637-650 - Jad Salem, Deven R. Desai, Swati Gupta:
Don't let Ricci v. DeStefano Hold You Back: A Bias-Aware Legal Solution to the Hiring Paradox. 651-666 - Harini Suresh, Rajiv Movva, Amelia Lee Dogan, Rahul Bhargava, Isadora Cruxen, Angeles Martinez Cuba, Guilia Taurino, Wonyoung So, Catherine D'Ignazio:
Towards Intersectional Feminist and Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection. 667-678 - Chris Norval, Kristin Cornelius, Jennifer Cobbe, Jatinder Singh:
Disclosure by Design: Designing information disclosures to support meaningful transparency and accountability. 679-690 - Katrina Geddes:
The Death of the Legal Subject: How Predictive Algorithms Are (Re)constructing Legal Subjectivity. 691-701 - Harmanpreet Kaur, Eytan Adar, Eric Gilbert, Cliff Lampe:
Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory. 702-714 - Preetam Nandy, Cyrus DiCiccio, Divya Venugopalan, Heloise Logan, Kinjal Basu, Noureddine El Karoui:
Achieving Fairness via Post-Processing in Web-Scale Recommender Systems✱. 715-725 - A. Feder Cooper, Gili Vidan:
Making the Unaccountable Internet: The Changing Meaning of Accounting in the Early ARPANET. 726-742 - Andrew Hundt, William Agnew, Vicky Zeng, Severin Kacianka, Matthew C. Gombolay:
Robots Enact Malignant Stereotypes. 743-756 - Wanrong Zhang, Olga Ohrimenko
, Rachel Cummings:
Attribute Privacy: Framework and Mechanisms. 757-766 - Aaron Rieke, Vincent Southerland, Dan Svirsky, Mingwei Hsu:
Imperfect Inferences: A Practical Assessment. 767-777 - Danish Contractor, Daniel McDuff, Julia Katherine Haines, Jenny Lee, Christopher Hines, Brent J. Hecht, Nicholas Vincent, Hanlin Li:
Behavioral Use Licensing for Responsible AI. 778-788 - Camille Harris, Matan Halevy, Ayanna M. Howard, Amy Bruckman, Diyi Yang:
Exploring the Role of Grammar and Word Choice in Bias Toward African American English (AAE) in Hate Speech Classification. 789-798 - J. D. Zamfirescu-Pereira, Jerry Chen, Emily Wen, Allison Koenecke, Nikhil Garg, Emma Pierson:
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis. 799-813 - Zhen Dai, Yury Makarychev, Ali Vakilian:
Fair Representation Clustering with Several Protected Classes. 814-823 - Leijie Wang, Haiyi Zhu:
How are ML-Based Online Content Moderation Systems Actually Used? Studying Community Size, Local Activity, and Disparate Treatment. 824-838 - Divya Shanmugam, Fernando Diaz, Samira Shabanian, Michèle Finck, Asia Biega:
Learning to Limit Data Collection via Scaling Laws: A Computational Interpretation for the Legal Principle of Data Minimization. 839-849 - Emily Black, Manish Raghavan, Solon Barocas:
Model Multiplicity: Opportunities, Concerns, and Solutions. 850-863 - A. Feder Cooper, Emanuel Moss, Benjamin Laufer, Helen Nissenbaum:
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning. 864-876 - Maximilian T. Fischer
, Simon David Hirsbrunner, Wolfgang Jentner, Matthias Miller, Daniel A. Keim, Paula Helm
:
Promoting Ethical Awareness in Communication Analysis: Investigating Potentials and Limits of Visual Analytics for Intelligence Applications. 877-889 - Bryce McLaughlin, Jann Spiess, Talia Gillis:
On the Fairness of Machine-Assisted Human Decisions. 890 - Sebastian Bordt, Michèle Finck, Eric Raidl
, Ulrike von Luxburg:
Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts. 891-905 - Isabel Chien, Nina Deliu
, Richard E. Turner, Adrian Weller, Sofia S. Villar, Niki Kilbertus:
Multi-disciplinary fairness considerations in machine learning for clinical trials. 906-924 - Sun-ha Hong:
Prediction as Extraction of Discretion. 925-934 - Mona Sloane, Janina Zakrzewski:
German AI Start-Ups and "AI Ethics": Using A Social Practice Lens for Assessing and Implementing Socio-Technical Innovation. 935-947 - Abeba Birhane, Elayne Ruane, Thomas Laurent, Matthew S. Brown, Johnathan Flowers, Anthony Ventresque, Christopher L. Dancy:
The Forgotten Margins of AI Ethics. 948-958 - Inioluwa Deborah Raji, I. Elizabeth Kumar, Aaron Horowitz, Andrew D. Selbst:
The Fallacy of AI Functionality. 959-972 - Jaspar Pahl, Ines Rieger
, Anna Möller, Thomas Wittenberg, Ute Schmid:
Female, white, 27? Bias Evaluation on Data and Algorithms for Affect Recognition in Faces. 973-987 - Wonyoung So
, Pranay Lohia, Rakesh Pimplikar, A. E. Hosoi, Catherine D'Ignazio:
Beyond Fairness: Reparative Algorithms to Address Historical Injustices of Housing Discrimination in the US. 988-1004 - Christina Lu, Jackie Kay, Kevin R. McKee:
Subverting machines, fluctuating identities: Re-learning human categorization. 1005-1015 - Jakob Mökander, Margi Sheth, David S. Watson, Luciano Floridi:
Models for Classifying AI Systems: the Switch, the Ladder, and the Matrix. 1016 - Rui-Jie Yew, Alice Xiang:
Regulating Facial Processing Technologies: Tensions Between Legal and Technical Considerations in the Application of Illinois BIPA. 1017-1027 - Yuhao Du, Stefania Ionescu
, Melanie Sage, Kenneth Joseph:
A Data-Driven Simulation of the New York State Foster Care System. 1028-1038 - Stephen Pfohl, Yizhe Xu, Agata Foryciarz, Nikolaos Ignatiadis, Julian Genkins, Nigam Shah:
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare. 1039-1052 - Alan Mishler, Edward H. Kennedy:
FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes. 1053 - Emanuele Albini, Jason Long, Danial Dervovic, Daniele Magazzeni:
Counterfactual Shapley Additive Explanations. 1054-1070 - Maarten Buyl, Christina Cociancig, Cristina Frattone, Nele Roekens:
Tackling Algorithmic Disability Discrimination in the Hiring Process: An Ethical, Legal and Technical Analysis. 1071-1082 - David S. Watson
:
Rational Shapley Values. 1083-1094 - Tasfia Mashiat, Xavier Gitiaux, Huzefa Rangwala, Patrick J. Fowler, Sanmay Das:
Trade-offs between Group Fairness Metrics in Societal Resource Allocation. 1095-1105 - Ira Globus-Harris, Michael Kearns, Aaron Roth:
An Algorithmic Framework for Bias Bounties. 1106-1124 - Jerry Lin, Carolyn Chen, Marc Chmielewski, Samia Zaman, Brandon Fain:
Auditing for Gerrymandering by Identifying Disenfranchised Individuals. 1125-1135 - Lydia R. Lucchesi, Petra M. Kuhnert, Jenny L. Davis, Lexing Xie
:
Smallset Timelines: A Visual Representation of Data Preprocessing Decisions. 1136-1153 - Marietjie Wilhelmina Maria Botes
:
Brain Computer Interfaces and Human Rights: Brave new rights for a brave new world. 1154-1161 - Logan Stapleton, Min Hun Lee, Diana Qing, Marya Wright, Alexandra Chouldechova, Ken Holstein, Zhiwei Steven Wu, Haiyi Zhu:
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders. 1162-1177 - Avrim Blum, Kevin Stangl, Ali Vakilian:
Multi Stage Screening: Enforcing Fairness and Maximizing Efficiency in a Pre-Existing Pipeline. 1178-1193 - Aparna Balagopalan, Haoran Zhang
, Kimia Hamidieh, Thomas Hartvigsen, Frank Rudzicz, Marzyeh Ghassemi:
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations. 1194-1206 - Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth, Saeed Sharifi-Malvajerdi:
Multiaccurate Proxies for Downstream Fairness. 1207-1239 - Aida Rahmattalabi, Phebe Vayanos, Kathryn Dullerud, Eric Rice:
Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery. 1240-1256 - Q. Vera Liao, S. Shyam Sundar:
Designing for Responsible Trust in AI Systems: A Communication Perspective. 1257-1268 - Robert Wolfe, Aylin Caliskan:
Markedness in Visual Semantic AI. 1269-1279 - Yusuke Hirota, Yuta Nakashima, Noa Garcia:
Gender and Racial Bias in Visual Question Answering Datasets. 1280-1292 - Robert Wolfe, Mahzarin R. Banaji, Aylin Caliskan:
Evidence for Hypodescent in Visual Semantic AI. 1293-1304 - Upol Ehsan, Ranjit Singh
, Jacob Metcalf, Mark O. Riedl:
The Algorithmic Imprint. 1305-1317 - Yongjie Wang, Hangwei Qian, Chunyan Miao:
DualCF: Efficient Model Extraction Attack from Counterfactual Explanations. 1318-1329 - Ruoxi Shang
, K. J. Kevin Feng, Chirag Shah:
Why Am I Not Seeing It? Understanding Users' Needs for Counterfactual Explanations in Everyday Recommendations. 1330-1340 - Catalina Goanta, Thales Felipe Costa Bertaglia, Adriana Iamnitchi
:
The Case for a Legal Compliance API for the Enforcement of the EU's Digital Services Act on Social Media Platforms. 1341-1349 - Patrick Schramowski, Christopher Tauchmann, Kristian Kersting:
Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content? 1350-1361 - Riccardo Fogliato, Shreya Chappidi
, Matthew P. Lungren, Paul Fisher, Diane Wilson, Michael Fitzke, Mark Parkinson, Eric Horvitz, Kori Inkpen, Besmira Nushi:
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging. 1362-1374 - Meg Young, Michael Katell, P. M. Krafft:
Confronting Power and Corporate Capture at the FAccT Conference. 1375-1386 - Lauren Thornton, Bran Knowles, Gordon S. Blair:
The Alchemy of Trust: The Creative Act of Designing Trustworthy Socio-Technical Systems. 1387-1398 - Francois Buet-Golfouse, Islam Utyagulov:
Towards Fair Unsupervised Learning. 1399-1409 - Daniel Susser:
Decision Time: Normative Dimensions of Algorithmic Speed. 1410-1420 - Miriam Rateike, Ayan Majumdar, Olga Mineeva, Krishna P. Gummadi, Isabel Valera:
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making. 1421-1433 - Marie-Therese Png:
At the Tensions of South and North: Critical Roles of Global South Stakeholders in AI Governance. 1434-1445 - Lindsay Poirier
:
Accountable Data: The Politics and Pragmatics of Disclosure Datasets. 1446-1456 - Andrea Ferrario, Michele Loi:
How Explainability Contributes to Trust in AI. 1457-1466 - William Cai, Ro Encarnacion, Bobbie Chern, Sam Corbett-Davies, Miranda Bogen, Stevie Bergman, Sharad Goel:
Adaptive Sampling Strategies to Construct Equitable Training Datasets. 1467-1478 - Emily Black, Hadi Elzayn, Alexandra Chouldechova, Jacob Goldin, Daniel E. Ho:
Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models. 1479-1503