Machine Explanations and Human Understanding.

Chacha Chen, Shi Feng, Amit Sharma and Chenhao Tan

Broadening AI Ethics Narratives: An Indic Art View.

Ajay Divakaran, Aparna Sridhar and Ramya Srinivasan

How to Explain and Justify Almost Any Decision: Potential Pitfalls for Accountability in AI Decision-Making.

Joyce Zhou and Thorsten Joachims

‘We are adults and deserve control of our phones’: Examining the risks and opportunities of a right to repair for mobile apps.

Konrad Kollnig, Siddhartha Datta, Thomas Serban von Davier, Max Van Kleek, Reuben Binns, Ulrik Lyngs and Nigel Shadbolt

Fairness in machine learning from the perspective of sociology of statistics: how machine learning is becoming scientific by turning its back on metrological realism.

Bilel Benbouzid

Two Reasons for Subjecting Medical AI Systems to Lower Standards than Humans.

Jakob Mainz, Lauritz Munch and Jens Christian Bjerring

Optimization's Neglected Normative Assumptions.

Benjamin Laufer, Thomas Gilbert and Helen Nissenbaum

Welfarist Moral Grounding for Transparent Artificial Intelligence.

Devesh Narayanan

Humans, AI, and Context: Understanding End-Users’ Trust in a Real-World Computer Vision Application.

Sunnie S. Y. Kim, Elizabeth Watkins, Olga Russakovsky, Ruth Fong and Andrés Monroy-Hernández

Multi-dimensional discrimination in Law and Machine Learning - A comparative overview.

Arjun Roy, Jan Horstmann and Eirini Ntoutsi

Reconciling Individual Probability Forecasts.

Aaron Roth, Alexander Tolbert and Scott Weinstein

The Gradient of Generative AI Release: Methods and Considerations.

Irene Solaiman

In the Name of Fairness: Assessing the Bias in Clinical Record De-identification.

Yuxin Xiao, Shulammite Lim, Tom Joseph Pollard and Marzyeh Ghassemi

"How Biased are Your Features?": Computing Fairness Influence Functions with Global Sensitivity Analysis.

Bishwamittra Ghosh, Debabrota Basu and Kuldeep S. Meel

Preventing Discriminatory Decision-making in Evolving Data Stream.

Zichong Wang, Nripsuta Saxena, Tongjia Yu, Sneha Karki, Tyler Zetty, Israat Haque, Shan Zhou, Dukka Kc, Ian Stockwell, Xuyu Wang, Albert Bifet and Wenbin Zhang

WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT?.

Ali Septiandri, Marios Constantinides, Mohammad Tahaei and Daniele Quercia

Trustworthy AI and the Logics of Intersectional Resistance.

Bran Knowles, Jasmine Fledderjohann, John T. Richards and Kush R. Varshney

In her Shoes: Gendered Labelling in Crowdsourced Safety Perceptions Data from India.

Nandana Sengupta, Ashwini Vaidya and James Evans

The Dataset Multiplicity Problem: How Unreliable Data Impacts Predictions.

Anna Meyer, Aws Albarghouthi and Loris D'Antoni

"I wouldn't say offensive but...": Disability-Centered Perspectives on Large Language Models.

Vinitha Gadiraju, Shaun Kane, Sunipa Dev, Alex Taylor, Ding Wang, Emily Denton and Robin Brewer

Walking the Walk of AI Ethics: Organizational Challenges and the Individualization of Risk among Ethics Entrepreneurs.

Sanna Ali, Angèle Christin, Riitta Katila and Andrew Smart

Algorithmic Transparency from the South: Examining the state of algorithmic transparency in Chile's public administration algorithms.

José Pablo Lapostol Piderit, Romina Garrido Iglesias and María Paz Hermosilla Cornejo

Who Should Pay When Machines Cause Harm? Laypeople's Expectations of Legal Damages for Machine-Caused Harm.

Gabriel Lima, Nina Grgic-Hlaca, Jin Keun Jeong and Meeyoung Cha

Diagnosing AI Explanation Methods with Folk Concepts of Behavior.

Alon Jacovi, Jasmijn Bastings, Sebastian Gehrmann, Yoav Goldberg and Katja Filippova

Certification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study.

Nicolas Scharowski, Michaela Benk, Swen J. Kühne, Léane Wettstein and Florian Brühlmann

The ethical ambiguity of AI data enrichment: Measuring gaps in research ethics norms and practices.

Will Hawkins and Brent Mittelstadt

Making Intelligence: Ethical Values in IQ and ML Benchmarks.

Borhane Blili-Hamelin and Leif Hancox-Li

Saliency Cards: A Framework to Characterize and Compare Saliency Methods.

Angie Boggust, Harini Suresh, Hendrik Strobelt, John Guttag and Arvind Satyanarayan

Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints.

Jamelle Watson-Daniels, Solon Barocas, Alexandra Chouldechova and Jake Hofman

Ghosting the Machine: Judicial Resistance to a Recidivism Risk Assessment Instrument.

Dasha Pruss

'Affordances' for Machine Learning.

Jenny Davis

Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven Decision Support using Evaluative AI.

Tim Miller

Stronger Together: on the Articulation of Ethical Charters, Legal Tools, and Technical Documentation in ML.

Giada Pistilli, Carlos Muñoz Ferrandis, Yacine Jernite and Margaret Mitchell

Simplicity Bias Leads to Amplified Performance Disparities.

Samuel Bell and Levent Sagun

On the Independence of Association Bias and Empirical Fairness in Language Models.

Laura Cabello, Anna Katrine Jørgensen and Anders Søgaard

Envisioning Equitable Speech Technologies for Black Older Adults.

Robin Brewer, Christina Harrington and Courtney Heldreth

Group-Fair Classification with Strategic Agents.

Andrew Estornell, Sanmay Das, Yang Liu and Yevgeniy Vorobeychik

The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice.

Andrew Bell, Lucius Bynum, Nazarii Drushchak, Tetiana Zakharchenko, Lucas Rosenblatt and Julia Stoyanovich

Domain Adaptive Decision Trees: Implications for Accuracy and Fairness.

Jose M. Alvarez, Kristen M. Scott, Bettina Berendt and Salvatore Ruggieri

Algorithmic Transparency and Accountability through Crowdsourcing: A Study of the NYC School Admission Lottery.

Amelie Marian

Rethinking Transparency as a Communicative Constellation.

Florian Eyert and Paola Lopez

On the Praxes and Politics of AI Speech Emotion Recognition.

Edward Kang

It’s about power: What ethical concerns do software engineers have, and what do they (feel they can) do about them?.

David Widder, Derrick Zhen, Laura Dabbish and James Herbsleb

Does AI-Assisted Fact-Checking Disproportionately Benefit Majority Groups Online?.

Terrence Neumann and Nicholas Wolczynski

Algorithms as Social-Ecological-Technological Systems: an Environmental Justice lens on Algorithmic Audits.

Bogdana Rakova and Roel Dobbe

The Privacy-Bias Tradeoff: Data Minimization and Racial Disparity Assessments in U.S. Government.

Jennifer King, Daniel Ho, Arushi Gupta, Victor Wu and Helen Webley-Brown

AI’s Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia.

Rida Qadri, Renee Shelby, Cynthia L. Bennett and Emily Denton

A Theory of Auditability for Allocation and Social Choice Mechanisms.

Aram Grigoryan and Markus Möller

Reconciling Governmental Use of Online Targeting With Democracy.

Katja Andrić and Atoosa Kasirzadeh

Representation in AI Evaluations.

A. Stevie Bergman, Lisa Anne Hendricks, Maribeth Rauh, Boxi Wu, William Agnew, Markus Kunesch, Isabella Duan, Iason Gabriel and William Isaac

Detecting disparities in police deployments using dashcam data.

Matt Franchi, J.D. Zamfirescu-Pereira, Wendy Ju and Emma Pierson

Delayed and Indirect Impacts of Link Recommendations.

Han Zhang, Shangen Lu, Yixin Wang and Mihaela Curmei

Striving for Affirmative Algorithmic Futures: How the Social Sciences can Promote more Equitable and Just Algorithmic System Design.

Anna-Lena Theus

Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?.

Shreya Chowdhary, Anna Kawakami, Mary Gray, Jina Suh, Alexandra Olteanu and Koustuv Saha

Invigorating Ubuntu Ethics in AI for healthcare: Enabling equitable care.

Lameck Mbangula Amugongo, Nicola J. Bidwell and Caitlin C. Corrigan

Honor ethics: The Challenge of Globalizing Value Alignment in AI.

Stephen T. Wu, Daniel G. Demetriou and Rudwan A. Husain

Power and Resistance in the Twitter Bias Discourse.

Paola Lopez

Runtime Monitoring of Dynamic Fairness Properties.

Thomas Henzinger, Mahyar Karimi, Konstantin Kueffner and Kaushik Mallik

Data Collaboratives with the Use of Decentralised Learning - an Alternative Approach to Data Governance.

Maciej Zuziak, Onntje Hinrichs, Aizhan Abdrasulova and Salvatore Rinzivillo

Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy.

Angelina Wang, Sayash Kapoor, Solon Barocas and Arvind Narayanan

Care and Coordination in Algorithmic Systems: An Economies of Worth Approach.

John Rudnik and Robin Brewer

You Sound Depressed: A Case Study on Sonde Health’s Diagnostic Use of Voice Analysis AI.

Anna Ma, Jonathan Sterne and Elizabeth Patitsas

Harms from Increasingly Agentic Algorithmic Systems.

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 and Tegan Maharaj

How Redundant are Redundant Encodings? Blindness in the Wild and Racial Disparity when Race is Unobserved.

Lingwei Cheng, Isabel Gallegos, Derek Ouyang, Jacob Goldin and Dan Ho

On the Site of Predictive Justice.

Seth Lazar and Jake Stone

Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making.

Luke Guerdan, Amanda Coston, Zhiwei Steven Wu and Kenneth Holstein

Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice.

Wesley Hanwen Deng, Nur Yildirim, Monica Chang, Motahhare Eslami, Kenneth Holstein and Michael Madaio

Your Browsing History May Cost You: A Framework for Discovering Differential Pricing in Non-Transparent Markets.

Aditya Karan, Naina Balepur and Hari Sundaram

Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigation via Influential Fairness.

Brianna Richardson, Prasanna Sattigeri, Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush Varshney, Amit Dhurandhar and Juan Gilbert

FairAssign: Stochastically Fair Driver Assignment in Gig Delivery Platforms.

Daman Deep Singh, Syamantak Das and Abhijnan Chakraborty

Algorithmic decisions, Desire for Control, and the Preference for Human Review over Algorithmic Review.

Henrietta Lyons, Tim Miller and Eduardo Velloso

Gender Animus Can Still Exist Under Favorable Disparate Impact: a Cautionary Tale from Online P2P Lending.

Xudong Shen, Tianhui Tan, Tuan Phan and Jussi Keppo

“I Think You Might Like This”: Exploring Effects of Confidence Signal Patterns on Trust in and Reliance on Conversational Recommender Systems.

Marissa Radensky, Julie Anne Séguin, Jang Soo Lim, Kristen Olson and Robert Geiger

Algorithmic Unfairness through the Lens of EU Non-Discrimination Law - Or Why the Law is Not a Decision Tree.

Hilde Weerts, Raphaële Xenidis, Fabien Tarissan, Henrik Palmer Olsen and Mykola Pechenizkiy

On (assessing) the fairness of risk score models.

Eike Petersen, Melanie Ganz, Sune Holm and Aasa Feragen

UNFair: Search Engine Manipulation, Undetectable by Amortized Inequity.

Tim de Jonge and Djoerd Hiemstra

Datafication Genealogies beyond Algorithmic Fairness: Making Up of Racialised Subjects.

Ana Valdivia and Martina Tazzioli

Maximal Fairness.

Marybeth Defrance and Tijl De Bie

Augmented Datasheets for Speech Datasets and Ethical Decision-Making.

Orestis Papakyriakopoulos, Anna Seo Gyeong Choi, William Thong, Dora Zhao, Jerone Andrews, Rebecca Bourke, Alice Xiang and Allison Koenecke

To Be High-Risk, or Not To Be—Semantic Specifications and Implications of the AI Act's High-Risk AI Applications and Harmonised Standards.

Delaram Golpayegani, Harshvardhan J. Pandit and Dave Lewis

Implementing Fairness Constraints in Markets Using Taxes and Subsidies.

Alexander Peysakhovitch, Christian Kroer and Nicolas Usunier

AI in the Public Eye: Building Public AI Literacy through Critical AI Art.

Drew Hemment, Morgan Currie, S J Bennett, Jake Elwes, Anna Ridler, Caroline Sinders, Matjaz Vidmar, Robin Hill and Holly Warner

Questioning the ability of feature-based explanations to empower non-experts in robo-advised financial decision-making.

Astrid Bertrand, James Eagan and Winston Maxwell

On the Impact of Explanations on Understanding of Algorithmic Decision-Making.

Timothée Schmude, Laura Koesten, Torsten Möller and Sebastian Tschiatschek

Addressing contingency in algorithmic (mis)information classification: Toward a responsible machine learning agenda.

Andrés Domínguez Hernández, Richard Owen, Dan Saattrup Nielsen and Ryan McConville

"We try to empower them" - Exploring future technologies to support migrant jobseekers.

Sonja Mei Wang, Kristen M Scott, Margarita Artemenko, Milagros Miceli and Bettina Berendt

Robustness implies Fairness in Casual Algorithmic Recourse.

Ahmad-Reza Ehyaei, Amir-Hossein Karimi, Bernhard Schoelkopf and Setareh Maghsudi

Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias.

Joachim Baumann, Alessandro Castelnovo, Riccardo Crupi, Nicole Inverardi and Daniele Regoli

ACROCPoLis: A Descriptive Framework for Making Sense of Fairness.

Andrea Aler Tubella, Dimitri Coelho Mollo, Adam Dahlgren Lindström, Hannah Devinney, Virginia Dignum, Petter Ericson, Anna Jonsson, Timotheus Kampik, Tom Lenaerts, Julian Alfredo Mendez and Juan Carlos Nieves

Towards Labor Transparency in Situated Computational Impact Research.

Felicia Jing, Sara E. Berger and Juana Catalina Becerra Sandoval

Measuring and mitigating voting access disparities: a study of race and polling locations in Florida and North Carolina.

Mohsen Abbasi, Calvin Barrett, Kristian Lum, Sorelle Friedler and Suresh Venkatasubramanian

Which Stereotypes Are Moderated and Under-Moderated in Search Engine Autocompletion?.

Alina Leidinger and Richard Rogers

Ethical considerations in the early detection of Alzheimer's disease using speech and AI.

Ulla Petti, Rune Nyrup, Jeffrey Skopek and Anna Korhonen

Co-Design Perspectives on Algorithm Transparency Reporting: Guidelines and Prototypes.

Michal Luria

More Data Types More Problems: A Temporal Analysis of Complexity, Stability, and Sensitivity in Privacy Policies.

Juniper Lovato, Philip Mueller, Parisa Suchdev and Peter Dodds

Emotions and Dynamic Assemblages: A Study of Automated Social Security Using Qualitative Longitudinal Research.

Morgan Currie and Lena Podoletz

Regulating ChatGPT and other Large Generative AI Models.

Philipp Hacker, Andreas Engel and Marco Mauer

On the Richness of Calibration.

Benedikt Höltgen and Robert C Williamson

The role of explainable AI in the context of the AI Act.

Cecilia Panigutti, Ronan Hamon, Isabelle Hupont, David Fernandez Llorca, Delia Fano Yela, Henrik Junklewitz, Salvatore Scalzo, Gabriele Mazzini, Ignacio Sanchez, Josep Soler Garrido and Emilia Gomez

The Dimensions of Data Labor: A Road Map for Researchers, Activists, and Policymakers to Empower Data Producers.

Hanlin Li, Nicholas Vincent, Stevie Chancellor and Brent Hecht

Going public: the role of public participation approaches in commercial AI labs.

Lara Groves, Aidan Peppin, Andrew Strait and Jenny Brennan

Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias.

Robert Wolfe, Yiwei Yang, Bill Howe and Aylin Caliskan

Understanding accountability in algorithmic supply chains.

Jennifer Cobbe, Michael Veale and Jatinder Singh

Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US and UK.

Luca Nannini, Agathe Balayn and Adam Leon Smith

Disentangling and Operationalizing AI Fairness at LinkedIn.

Kinjal Basu, Yuwen Wu, Brian Hsu, Sakshi Jain, Jen Ramos, Jon Adams, Rob Hallman and Joaquin Quiñonero Candela

Enhancing AI fairness through impact assessment in the European Union: a legal and computer science perspective.

Alessandra Calvi and Dimitris Kotzinos

Queer In AI: A Case Study in Community-Led Participatory AI.

Organizers Of Queerinai, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubička, Hang Yuan, Hetvi J, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Melvin Selim Atay, Milind Agarwal, Nyx McLean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo-Lopes, Alex Markham, Evyn Dǒng, Jackie Kay, Manu Saraswat, Nikhil Vytla and Luke Stark

"I'm fully who I am'': Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation.

Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zack Jaggers, Kai-Wei Chang, Aram Galstyan, Richard Zemel and Rahul Gupta

AI Regulation is (not) all You Need.

Laura Lucaj, Patrick van der Smagt and Djalel Benbouzid

Diverse Perspectives Can Mitigate Political Bias in Crowdsourced Content Moderation.

Jacob Thebault-Spieker, Sukrit Venkatagiri, Naomi Mine and Kurt Luther

The Devil is in the Details: Interrogating Values Embedded in the Allegheny Family Screening Tool.

Marissa Gerchick, Tobi Jegede, Tarak Shah, Ana Gutierrez, Sophie Beiers, Noam Shemtov, Kath Xu, Anjana Samant and Aaron Horowitz

A Systematic Review of Ethics Disclosures in Predictive Mental Health Research.

Leah Ajmani, Stevie Chancellor, Bijal Mehta, Casey Fiesler, Michael Zimmer and Munmun De Choudhury

An Empirical Analysis of Racial Categories in the Algorithmic Fairness Literature.

Amina Abdu, Irene V. Pasquetto and Abigail Z. Jacobs

A Sociotechnical Audit: Assessing Police Use of Facial Recognition.

Evani Radiya-Dixit and Gina Neff

Fairer Together: Mitigating Disparate Exposure in Kemeny Rank Aggregation.Kathleen Cachel and Elke Rundensteiner

Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity.

Faisal Hamman, Jiahao Chen and Sanghamitra Dutta

Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies.

Vivian Lai, Chacha Chen, Alison Smith-Renner, Q. Vera Liao and Chenhao Tan

(Anti)-Intentional Harms: The Conceptual Pitfalls of Emotion AI in Education.

Nathalie DiBerardino and Luke Stark

Organizational governance of emerging technologies: AI adoption in healthcare.

Jee Young Kim, William Boag, Freya Gulamali, Alifia Hasan, Henry David Jeffry Hogg, Mark Lifson, Deirde Mulligan, Manesh Patel, Inioluwa Deborah Raji, Ajai Sehgal, Keo Shaw, Danny Tobey, Alexandra Valladares, David Vidal, Suresh Balu and Mark Sendak

Navigating the Audit Landscape: A Framework for Developing Auditable XR.

Chris Norval, Richard Cloete and Jatinder Singh

Group fairness without demographics using social networks.

David Liu, Virginie Do, Nicolas Usunier and Maximilian Nickel

Taking Algorithms to Courts: A Relational Approach to Algorithmic Accountability.

Jacob Metcalf, Emanuel Moss, Ranjit Singh, Emnet Tafesse and Elizabeth Anne Watkins

Co-Designing for Transparency: Lessons from Building a Document Organization Tool in the Criminal Justice Domain.

Hellina Hailu Nigatu, Lisa Pickoff-White, John Canny and Sarah Chasins

Examining risks of racial biases in NLP tools for child protective services.

Anjalie Field, Amanda Coston, Nupoor Gandhi, Alexandra Chouldechova, Emily Putnam-Hornstein, David Steier and Yulia Tsvetkov

Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale.

Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou and Aylin Caliskan

What’s fair is… fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning.

Melissa McCradden, Oluwadara Odusi, Shalmali Joshi, Ismail Akrout, Kagiso Ndlovu, Ben Glocker, Gabriel Maicas, Xiaoxuan Liu, Mjaye Mazwi, Tee Garnett, Lauren Oakden-Rayner, Myrtede Alfred, Irvine Sihlahla, Oswa Shafei and Anna Goldenberg

Personalized Pricing with Group Fairness Constraint.

Xin Chen, Zexing Xu, Zishuo Zhao and Yuan Zhou

Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems.

Rock Yuren Pang, Jack Cenatempo, Franklyn Graham, Bridgette Kuehn, Maddy Whisenant, Portia Botchway, Katie Stone Perez and Allison Koenecke

The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments.

Miri Zilka, Riccardo Fogliato, Jiri Hron, Bradley Butcher, Carolyn Ashurst and Adrian Weller

The Misuse of AUC: What High Impact Risk Assessment Gets Wrong.

Kweku Kwegyir-Aggrey, Suresh Venkatasubramanian, Aaron Horowitz, Malika Mohan and Marissa Gerchick

Counterfactual Prediction Under Outcome Measurement Error.

Luke Guerdan, Amanda Coston, Kenneth Holstein and Zhiwei Steven Wu

Improving Fairness in AI Models on Electronic Health Records: the case for Federated Learning Methods.

Raphael Poulain, Mirza Farhan Bin Tarek and Rahmatollah Beheshti

Arbitrary Decisions are a Hidden Cost of Differentially-Private Training.

Bogdan Kulynych, Hsiang Hsu, Carmela Troncoso and Flavio Calmon

Interrogating the T in FAccT.

Eric Corbett and Emily Denton

Reducing Access Disparities in Networks using Edge Augmentation.

Ashkan Bashardoust, Sorelle Friedler, Carlos Scheidegger, Blair D. Sullivan and Suresh Venkatasubramanian

The Many Faces of Fairness: Exploring the Institutional Logics of Multistakeholder Microlending Recommendation.

Jessie J. Smith, Anas Buhayh, Anushka Kathait, Pradeep Ragothaman, Nicholas Mattei, Robin Burke and Amy Voida

Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity.

Joshua Gardner, Renzhe Yu, Quan Nguyen, Christopher Brooks and Rene Kizilcec

Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus Ranking.

Hilson Shrestha, Kathleen Cachel, Mallak Alkhathlan, Elke Rundensteiner and Lane Harrison

Bias Against 93 Stigmatized Groups in Masked Language Models and Downstream Sentiment Classification Tasks.

Katelyn Mei, Sonia Fereidooni and Aylin Caliskan

Representation, Self-Determination, and Refusal: Queer People’s Experiences with Targeted Advertising.

Princess Sampson, Ro Encarnacion and Danaë Metaxa

Capturing Humans’ Mental Models of AI: An Item Response Theory Approach.

Markelle Kelly, Aakriti Kumar, Padhraic Smyth and Mark Steyvers

Representation Online Matters: Practical End-to-end Diversification in Search and Recommender Systems.

Pedro Silva, Bhawna Juneja, Shloka Desai, Ashudeep Singh and Nadia Fawaz

Using Supervised Learning to Estimate Inequality in the Size and Persistence of Income Shocks.

David Bruns-Smith, Avi Feller and Emi Nakamura

Skin Deep: Investigating Subjectivity in Skin Tone Annotations for Computer Vision Benchmark Datasets.

Teanna Barrett, Quanze Chen and Amy Zhang

Discrimination through Image Selection by Job Advertisers on Facebook.

Varun Nagaraj Rao and Aleksandra Korolova

On The Impact of Machine Learning Randomness on Group Fairness.

Prakhar Ganesh, Hongyan Chang, Martin Strobel and Reza Shokri

Detection and Mitigation of Algorithmic Bias via Predictive Parity.

Cyrus DiCiccio, Brian Hsu, Yinyin Yu, Preetam Nandy and Kinjal Basu

Fairness Auditing of Urban Decisions using LP-based Data Combination.

Jingyi Yang, Joel Miller and Mesrob Ohannessian

The slow violence of surveillance capitalism: How online behavioral advertising harms people.

Yuxi Wu, Sydney Bice, W. Keith Edwards and Sauvik Das

Bias as Boundary Object: Critiquing An Algorithm For Austerity Using Bias Frameworks.

Gabriel Grill, Fabian Fischer and Florian Cech

Legal Taxonomies of Machine Bias: Revisiting Direct Discrimination.

Reuben Binns, Jeremias Adams-Prassl and Aislinn Kelly-Lyth

Achieving diversity in counterfactual explanations: a review and a discussion.

Thibault Laugel, Adulam Jeyasothy, Marie-Jeanne Lesot, Christophe Marsala and Marcin Detyniecki

Disparities in Text-to-Image Model Concept Possession Across Languages.

Michael Saxon and William Yang Wang