FAccT

Keyphrases

Publications

2023

Xudong Shen, Tianhui Tan, Tuan Phan, Jussi Keppo
Gender Animus Can Still Exist Under Favorable Disparate Impact: a Cautionary Tale from Online P2P Lending. FAccT (2023)
Gabriel Grill, Fabian Fischer, Florian Cech
Bias as Boundary Object: Unpacking The Politics Of An Austerity Algorithm Using Bias Frameworks. FAccT (2023)
Shreya Chowdhary, Anna Kawakami, Mary L. Gray, Jina Suh, Alexandra Olteanu, Koustuv Saha
Can Workers Meaningfully Consent to Workplace Wellbeing Technologies? FAccT (2023)
Joaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jennifer Ramos, Jon Adams, Robert Hallman, Kinjal Basu
Disentangling and Operationalizing AI Fairness at LinkedIn. FAccT (2023)
Nathalie DiBerardino, Luke Stark
(Anti)-Intentional Harms: The Conceptual Pitfalls of Emotion AI in Education. FAccT (2023)
Jingyi Yang, Joel Miller, Mesrob Ohannessian
Fairness Auditing in Urban Decisions using LP-based Data Combination. FAccT (2023)
David Gray Widder, Derrick Zhen, Laura Dabbish, James D. Herbsleb
It's about power: What ethical concerns do software engineers have, and what do they (feel they can) do about them? FAccT (2023)
Juniper Lovato, Philip Mueller, Parisa Suchdev, Peter Sheridan Dodds
More Data Types More Problems: A Temporal Analysis of Complexity, Stability, and Sensitivity in Privacy Policies. FAccT (2023)
Robert Wolfe, Yiwei Yang, Bill Howe, Aylin Caliskan
Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias. FAccT (2023)
John Rudnik, Robin Brewer
Care and Coordination in Algorithmic Systems: An Economies of Worth Approach. FAccT (2023)
Bran Knowles, Jasmine Fledderjohann, John T. Richards, Kush R. Varshney
Trustworthy AI and the Logics of Intersectional Resistance. FAccT (2023)
Morgan Currie, Lena Podoletz
Emotions and Dynamic Assemblages: A Study of Automated Social Security Using Qualitative Longitudinal Research. FAccT (2023)
Anna P. Meyer, Aws Albarghouthi, Loris D'Antoni
The Dataset Multiplicity Problem: How Unreliable Data Impacts Predictions. FAccT (2023)
Jacob Thebault-Spieker, Sukrit Venkatagiri, Naomi Mine, Kurt Luther
Diverse Perspectives Can Mitigate Political Bias in Crowdsourced Content Moderation. FAccT (2023)
Amina A. Abdu, Irene V. Pasquetto, Abigail Z. Jacobs
An Empirical Analysis of Racial Categories in the Algorithmic Fairness Literature. FAccT (2023)
Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso, Flávio P. Calmon
Arbitrary Decisions are a Hidden Cost of Differentially Private Training. FAccT (2023)
Pedro Silva, Bhawna Juneja, Shloka Desai, Ashudeep Singh, Nadia Fawaz
Representation Online Matters: Practical End-to-End Diversification in Search and Recommender Systems. FAccT (2023)
Devesh Narayanan
Welfarist Moral Grounding for Transparent AI. FAccT (2023)
Anna-Lena Theus
Striving for Affirmative Algorithmic Futures: How the Social Sciences can Promote more Equitable and Just Algorithmic System Design. FAccT (2023)
Nicolas Scharowski, Michaela Benk, Swen J. Kühne, Léane Wettstein, Florian Brühlmann
Certification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study. FAccT (2023)
Alessandra Calvi, Dimitris Kotzinos
Enhancing AI fairness through impact assessment in the European Union: a legal and computer science perspective. FAccT (2023)
Andrew Bell, Lucius Bynum, Nazarii Drushchak, Tetiana Zakharchenko, Lucas Rosenblatt, Julia Stoyanovich
The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice. FAccT (2023)
Orestis Papakyriakopoulos, Anna Seo Gyeong Choi, William Thong, Dora Zhao, Jerone Theodore Alexander Andrews, Rebecca Bourke, Alice Xiang, Allison Koenecke
Augmented Datasheets for Speech Datasets and Ethical Decision-Making. FAccT (2023)
Dasha Pruss
Ghosting the Machine: Judicial Resistance to a Recidivism Risk Assessment Instrument. FAccT (2023)
Philipp Hacker, Andreas Engel, Marco Mauer
Regulating ChatGPT and other Large Generative AI Models. FAccT (2023)
Leah Hope Ajmani, Stevie Chancellor, Bijal Mehta, Casey Fiesler, Michael Zimmer, Munmun De Choudhury
A Systematic Review of Ethics Disclosures in Predictive Mental Health Research. FAccT (2023)
Eike Petersen, Melanie Ganz, Sune Hannibal Holm, Aasa Feragen
On (assessing) the fairness of risk score models. FAccT (2023)
Raphael Poulain, Mirza Farhan Bin Tarek, Rahmatollah Beheshti
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods. FAccT (2023)
A. Stevie Bergman, Lisa Anne Hendricks, Maribeth Rauh, Boxi Wu, William Agnew, Markus Kunesch, Isabella Duan, Iason Gabriel, William Isaac
Representation in AI Evaluations. FAccT (2023)
Chacha Chen, Shi Feng, Amit Sharma, Chenhao Tan
Machine Explanations and Human Understanding. FAccT (2023)
Jacob Metcalf, Ranjit Singh, Emanuel Moss, Emnet Tafesse, Elizabeth Anne Watkins
Taking Algorithms to Courts: A Relational Approach to Algorithmic Accountability. FAccT (2023)
Daman Deep Singh, Syamantak Das, Abhijnan Chakraborty
FairAssign: Stochastically Fair Driver Assignment in Gig Delivery Platforms. FAccT (2023)
Sonja Mei Wang, Kristen M. Scott, Margarita Artemenko, Milagros Miceli, Bettina Berendt
"We try to empower them" - Exploring Future Technologies to Support Migrant Jobseekers. FAccT (2023)
Ajay Divakaran, Aparna Sridhar, Ramya Srinivasan
Broadening AI Ethics Narratives: An Indic Art View. FAccT (2023)
Amélie Marian
Algorithmic Transparency and Accountability through Crowdsourcing: A Study of the NYC School Admission Lottery. FAccT (2023)
Anna Ma, Elizabeth Patitsas, Jonathan Sterne
You Sound Depressed: A Case Study on Sonde Health's Diagnostic Use of Voice Analysis AI. FAccT (2023)
Andrea Aler Tubella, Dimitri Coelho Mollo, Adam Dahlgren Lindström, Hannah Devinney, Virginia Dignum, Petter Ericson, Anna Jonsson, Timotheus Kampik, Tom Lenaerts, Julian Alfredo Mendez, Juan Carlos Nieves
ACROCPoLis: A Descriptive Framework for Making Sense of Fairness. FAccT (2023)
Seth Lazar, Jake Stone
On the Site of Predictive Justice. FAccT (2023)
Reuben Binns, Jeremias Adams-Prassl, Aislinn Kelly-Lyth
Legal Taxonomies of Machine Bias: Revisiting Direct Discrimination. FAccT (2023)
Luca Nannini, Agathe Balayn, Adam Leon Smith
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK. FAccT (2023)
Andrew Estornell, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik
Group-Fair Classification with Strategic Agents. FAccT (2023)
Miri Zilka, Riccardo Fogliato, Jiri Hron, Bradley Butcher, Carolyn Ashurst, Adrian Weller
The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments. FAccT (2023)
Bilel Benbouzid
Fairness in machine learning from the perspective of sociology of statistics: How machine learning is becoming scientific by turning its back on metrological realism. FAccT (2023)
Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
"How Biased are Your Features?": Computing Fairness Influence Functions with Global Sensitivity Analysis. FAccT (2023)
Angelina Wang, Sayash Kapoor, Solon Barocas, Arvind Narayanan
Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy. FAccT (2023)
Rida Qadri, Renee Shelby, Cynthia L. Bennett, Emily Denton
AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia. FAccT (2023)
Anjalie Field, Amanda Coston, Nupoor Gandhi, Alexandra Chouldechova, Emily Putnam-Hornstein, David Steier, Yulia Tsvetkov
Examining risks of racial biases in NLP tools for child protective services. FAccT (2023)
Lameck Mbangula Amugongo, Nicola J. Bidwell, Caitlin C. Corrigan
Invigorating Ubuntu Ethics in AI for healthcare: Enabling equitable care. FAccT (2023)
Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle Lin, Alex Mayhew, Katherine Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, Tegan Maharaj
Harms from Increasingly Agentic Algorithmic Systems. FAccT (2023)
Chris Norval, Richard Cloete, Jatinder Singh
Navigating the Audit Landscape: A Framework for Developing Transparent and Auditable XR. FAccT (2023)