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.
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.
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.
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.
'Affordances' for Machine Learning.
Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven Decision Support using Evaluative AI.
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.
Rethinking Transparency as a Communicative Constellation.
Florian Eyert and Paola Lopez
On the Praxes and Politics of AI Speech Emotion Recognition.
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.
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.
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
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.
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