Table of Contents

• Classification Metrics for Image Explanations: Towards Building Reliable XAI-EvaluationsBenjamin Frész, Lena Lörcher, Marco Huber. 1-19 [doi]
• Designing Long-term Group Fair Policies in Dynamical SystemsMiriam Rateike, Isabel Valera, Patrick Forré. 20-50 [doi]
• Learning Fairness from Demonstrations via Inverse Reinforcement LearningJack Blandin, Ian A. Kash. 51-61 [doi]
• Using Property Elicitation to Understand the Impacts of Fairness RegularizersJessie Finocchiaro. 62-73 [doi]
• Beyond Individual Accountability: (Re-)Asserting Democratic Control of AIDaniel James Bogiatzis-Gibbons. 74-84 [doi]
• Power Hungry Processing: Watts Driving the Cost of AI Deployment?Sasha Luccioni, Yacine Jernite, Emma Strubell. 85-99 [doi]
• Data Feminism for AILauren F. Klein, Catherine D'Ignazio. 100-112 [doi]
• Reliability Gaps Between Groups in COMPAS DatasetTim Räz. 113-126 [doi]
• Mapping AI ethics: a meso-scale analysis of its charters and manifestosMélanie Gornet, Simon Delarue, Maria Boritchev, Tiphaine Viard. 127-140 [doi]
• "I Searched for a Religious Song in Amharic and Got Sexual Content Instead'': Investigating Online Harm in Low-Resourced Languages on YouTubeHellina Hailu Nigatu, Inioluwa Deborah Raji. 141-160 [doi]
• Why is "Problems" Predictive of Positive Sentiment? A Case Study of Explaining Unintuitive Features in Sentiment ClassificationJiaming Qu, Jaime Arguello, Yue Wang 0035. 161-172 [doi]
• Regulating AI-Based Remote Biometric Identification. Investigating the Public Demand for Bans, Audits, and Public Database RegistrationsKimon Kieslich, Marco Lünich. 173-185 [doi]
• AI Art is Theft: Labour, Extraction, and Exploitation: Or, On the Dangers of Stochastic PollocksTrystan S. Goetze. 186-196 [doi]
• Algorithmic Pluralism: A Structural Approach To Equal OpportunityShomik Jain, Vinith Suriyakumar, Kathleen Creel, Ashia Wilson. 197-206 [doi]
• A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to WorkersAnna Gausen, Bhaskar Mitra 0001, Siân Lindley. 207-220 [doi]
• A Decision Theoretic Framework for Measuring AI RelianceZiyang Guo, Yifan Wu, Jason D. Hartline, Jessica Hullman. 221-236 [doi]
• Ethnic Classifications in Algorithmic Fairness: Concepts, Measures and Implications in PracticeSofia Jaime, Christoph Kern. 237-253 [doi]
• Algorithmic Reproductive JusticeJasmine Fledderjohann, Bran Knowles, Esmorie Miller. 254-266 [doi]
• "Like rearranging deck chairs on the Titanic"? Feasibility, Fairness, and Ethical Concerns of a Citizen Carbon Budget for Reducing CO2 EmissionsGisela Reyes-Cruz, Peter J. Craigon, Anna-Maria Piskopani, Liz Dowthwaite, Yang Lu, Justyna Lisinska, Elnaz Shafipour, Sebastian Stein 0001, Joel E. Fischer. 267-278 [doi]
• A preprocessing Shapley value-based approach to detect relevant and disparity prone features in machine learningGuilherme Dean Pelegrina, Miguel Couceiro, Leonardo Tomazeli Duarte. 279-289 [doi]
• Failing Our Youngest: On the Biases, Pitfalls, and Risks in a Decision Support Algorithm Used for Child ProtectionTherese Moreau, Roberta Sinatra, Vedran Sekara. 290-300 [doi]
• Misgendered During Moderation: How Transgender Bodies Make Visible Cisnormative Content Moderation Policies and Enforcement in a Meta Oversight Board CaseSamuel Mayworm, Kendra Albert, Oliver L. Haimson. 301-312 [doi]
• A structured regression approach for evaluating model performance across intersectional subgroupsChristine Herlihy, Kimberly Truong, Alexandra Chouldechova, Miroslav Dudík. 313-325 [doi]
• Trans-centered moderation: Trans technology creators and centering transness in platform and community governance: Trans-centered moderationHibby Thach, Samuel Mayworm, Michaelanne Thomas, Oliver L. Haimson. 326-336 [doi]
• The Fall of an Algorithm: Characterizing the Dynamics Toward AbandonmentNari Johnson, Sanika Moharana, Christina N. Harrington, Nazanin Andalibi, Hoda Heidari, Motahhare Eslami. 337-358 [doi]
• Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech GeneratorsWiebke Hutiri, Orestis Papakyriakopoulos, Alice Xiang. 359-376 [doi]
• Operationalizing the Search for Less Discriminatory Alternatives in Fair LendingTalia B. Gillis, Vitaly Meursault, Berk Ustun. 377-387 [doi]
• Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image GenerationJessica Quaye, Alicia Parrish, Oana Inel, Charvi Rastogi, Hannah Rose Kirk, Minsuk Kahng, Erin Van Liemt, Max Bartolo, Jess Tsang, Justin White, Nathan Clement, Rafael Mosquera, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo. 388-406 [doi]
• Insights From Insurance for Fair Machine LearningChristian Fröhlich, Robert C. Williamson. 407-421 [doi]
• No Simple Fix: How AI Harms Reflect Power and Jurisdiction in the WorkplaceNataliya Nedzhvetskaya, J. S. Tan. 422-432 [doi]
• Algorithmic Misjudgement in Google Search Results: Evidence from Auditing the US Online Electoral Information EnvironmentBrooke Perreault, Johanna Hoonsun Lee, Ropafadzo Shava, Eni Mustafaraj. 433-443 [doi]
• To See or Not to See: Understanding the Tensions of Algorithmic Curation for Visual ArtsRamya Srinivasan 0002. 444-455 [doi]
• In the Walled Garden: Challenges and Opportunities for Research on the Practices of the AI Tech IndustryMorgan Klaus Scheuerman. 456-466 [doi]
• Value is in the Eye of the Beholder: A Framework for an Equitable Graph Data EvaluationFrancesco Paolo Nerini, Paolo Bajardi, André Panisson. 467-479 [doi]
• Overriding (in)justice: pretrial risk assessment administration on the frontlinesSarah Riley. 480-488 [doi]
• Benchmarking the Fairness of Image Upsampling MethodsMike Laszkiewicz, Imant Daunhawer, Julia E. Vogt, Asja Fischer, Johannes Lederer. 489-517 [doi]
• Analyzing the Relationship Between Difference and Ratio-Based Fairness MetricsMin-Hsuan Yeh, Blossom Metevier, Austin Hoag, Philip S. Thomas. 518-528 [doi]
• Diversified Ensembling: An Experiment in Crowdsourced Machine LearningIra Globus-Harris, Declan Harrison, Michael Kearns, Pietro Perona, Aaron Roth 0001. 529-545 [doi]
• Trust Development and Repair in AI-Assisted Decision-Making during Complementary ExpertiseSaumya Pareek, Eduardo Velloso, Jorge Gonçalves 0001. 546-561 [doi]
• Tackling Language Modelling Bias in Support of Linguistic DiversityGábor Bella, Paula Helm, Gertraud Koch, Fausto Giunchiglia. 562-572 [doi]
• Diversity of What? On the Different Conceptualizations of Diversity in Recommender SystemsSanne Vrijenhoek, Savvina Daniil, Jorden Sandel, Laura Hollink. 573-584 [doi]
• Towards Geographic Inclusion in the Evaluation of Text-to-Image ModelsMelissa Hall, Samuel J. Bell, Candace Ross, Adina Williams, Michal Drozdzal, Adriana Romero-Soriano. 585-601 [doi]
• D-hackingEmily Black, Talia Gillis, Zara Yasmine Hall. 602-615 [doi]
• Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group FairnessSeamus Somerstep, Yaacov Ritov, Yuekai Sun. 616-630 [doi]
• Data Agency Theory: A Precise Theory of Justice for AI ApplicationsLeah Ajmani, Logan Stapleton, Mo Houtti, Stevie Chancellor. 631-641 [doi]
• Lazy Data Practices Harm Fairness ResearchJan Simson, Alessandro Fabris, Christoph Kern. 642-659 [doi]
• Auditing GPT's Content Moderation Guardrails: Can ChatGPT Write Your Favorite TV Show?Yaaseen Mahomed, Charlie M. Crawford, Sanjana Gautam, Sorelle A. Friedler, Danaë Metaxa. 660-686 [doi]
• Identifying and Improving Disability Bias in GPT-Based Resume ScreeningKate S. Glazko, Yusuf Mohammed, Ben Kosa, Venkatesh Potluri, Jennifer Mankoff. 687-700 [doi]
• The Digital Faces of Oppression and Domination: A Relational and Egalitarian Perspective on the Data-driven Society and its RegulationLaurens Naudts. 701-712 [doi]
• AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless ServicesNingjing Tang, Jiayin Zhi, Tzu-Sheng Kuo, Calla Kainaroi, Jeremy J. Northup, Kenneth Holstein, Haiyi Zhu, Hoda Heidari, Hong Shen 0004. 713-732 [doi]
• Silencing the Risk, Not the Whistle: A Semi-automated Text Sanitization Tool for Mitigating the Risk of Whistleblower Re-IdentificationDimitri Staufer, Frank Pallas, Bettina Berendt. 733-745 [doi]
• Gender Bias Detection in Court Decisions: A Brazilian Case StudyRaysa M. Benatti, Fabiana C. Severi, Sandra Avila, Esther Luna Colombini. 746-763 [doi]
• The four-fifths rule is not disparate impact: A woeful tale of epistemic trespassing in algorithmic fairnessElizabeth Anne Watkins, Jiahao Chen. 764-775 [doi]
• Mapping the individual, social and biospheric impacts of Foundation ModelsAndrés Domínguez Hernández, Shyam Krishna, Antonella Maia Perini, Michael A. Katell, SJ Bennett, Ann Borda, Youmna Hashem, Semeli Hadjiloizou, Sabeehah Mahomed, Smera Jayadeva, Mhairi Aitken, David Leslie. 776-796 [doi]
• Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People ImagesHansa Srinivasan, Candice Schumann, Aradhana Sinha, David Madras, Gbolahan Oluwafemi Olanubi, Alex Beutel, Susanna Ricco, Jilin Chen. 797-821 [doi]
• "I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and TrustSunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu, Stephanie Ballard, Jennifer Wortman Vaughan. 822-835 [doi]
• Escalation Risks from Language Models in Military and Diplomatic Decision-MakingJuan Pablo Rivera, Gabriel Mukobi, Anka Reuel, Max Lamparth, Chandler Smith, Jacquelyn Schneider. 836-898 [doi]
• The Harmful Fetishisation of Reductive Personal Tracking Metrics in Digital SystemsAisha Sobey, Laura Carter. 899-908 [doi]
• More than the Sum of its Parts: Susceptibility to Algorithmic Disadvantage as a Conceptual FrameworkPaola Lopez. 909-919 [doi]
• A Systematic Review of Biometric Monitoring in the Workplace: Analyzing Socio-technical Harms in Development, Deployment and UseEzra Awumey, Sauvik Das, Jodi Forlizzi. 920-932 [doi]
• Beyond Behaviorist Representational Harms: A Plan for Measurement and MitigationJennifer Chien, David Danks. 933-946 [doi]
• Gender Representation Across Online Retail ProductsDana Pessach, Barbara Poblete. 947-957 [doi]
• Visibility into AI AgentsAlan Chan, Carson Ezell, Max Kaufmann, Kevin Wei, Lewis Hammond, Herbie Bradley, Emma Bluemke, Nitarshan Rajkumar, David Krueger, Noam Kolt, Lennart Heim, Markus Anderljung. 958-973 [doi]
• The tensions of data sharing for human rights: A modern slavery case studyJamie Hancock, Sarada Mahesh, Jennifer Cobbe, Jatinder Singh, Anjali Mazumder. 974-987 [doi]
• Trouble at Sea: Data and digital technology challenges for maritime human rights concernsJamie Hancock, Ruoyun Hui, Jatinder Singh, Anjali Mazumder. 988-1001 [doi]
• From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility GapTianqi Kou. 1002-1013 [doi]
• Structural Interventions and the Dynamics of InequalityAurora Zhang, Anette Hosoi. 1014-1030 [doi]
• Explainable Artificial Intelligence for Academic Performance Prediction. An Experimental Study on the Impact of Accuracy and Simplicity of Decision Trees on Causability and Fairness PerceptionsMarco Lünich, Birte Keller. 1031-1042 [doi]
• Mitigating Group Bias in Federated Learning for Heterogeneous DevicesKhotso Selialia, Yasra Chandio, Fatima M. Anwar. 1043-1054 [doi]
• Machine learning data practices through a data curation lens: An evaluation frameworkEshta Bhardwaj, Harshit Gujral, Siyi Wu, Ciara Zogheib, Tegan Maharaj, Christoph Becker 0001. 1055-1067 [doi]
• When Human-AI Interactions Become Parasocial: Agency and Anthropomorphism in Affective DesignTakuya Maeda, Anabel Quan-Haase. 1068-1077 [doi]
• A Framework for Assurance Audits of Algorithmic SystemsKhoa Lam, Benjamin Lange, Borhane Blili-Hamelin, Jovana Davidovic, Shea-Brown, Ali-Hasan. 1078-1092 [doi]
• Building, Shifting, & Employing Power: A Taxonomy of Responses From Below to Algorithmic HarmAlicia DeVrio, Motahhare Eslami, Kenneth Holstein. 1093-1106 [doi]
• Auditing Work: Exploring the New York City algorithmic bias audit regimeLara Groves, Jacob Metcalf, Alayna Kennedy, Briana Vecchione, Andrew Strait. 1107-1120 [doi]
• Automated Transparency: A Legal and Empirical Analysis of the Digital Services Act Transparency DatabaseRishabh Kaushal, Jacob van de Kerkhof, Catalina Goanta, Gerasimos Spanakis, Adriana Iamnitchi. 1121-1132 [doi]
• PreFAIR: Combining Partial Preferences for Fair Consensus Decision-makingKathleen Cachel, Elke A. Rundensteiner. 1133-1149 [doi]
• Algorithmic Transparency and Participation through the Handoff Lens: Lessons Learned from the U.S. Census Bureau's Adoption of Differential PrivacyAmina A. Abdu, Lauren M. Chambers, Deirdre K. Mulligan, Abigail Z. Jacobs. 1150-1162 [doi]
• Auditing Image-based NSFW Classifiers for Content FilteringWarren Leu, Yuta Nakashima, Noa Garcia. 1163-1173 [doi]
• Should Users Trust Advanced AI Assistants? Justified Trust As a Function of Competence and AlignmentArianna Manzini, Geoff Keeling, Nahema Marchal, Kevin R. McKee, Verena Rieser, Iason Gabriel. 1174-1186 [doi]
• Impact Charts: A Tool for Identifying Systematic Bias in Social Systems and DataDarren Erik Vengroff. 1187-1198 [doi]
• Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource SettingsRobert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang 0009, Lucas Rosenblatt, Bernease Herman, Eva Maxfield Brown, Zening Qu, Nic Weber, Bill Howe. 1199-1210 [doi]
• WorldBench: Quantifying Geographic Disparities in LLM Factual RecallMazda Moayeri, Elham Tabassi, Soheil Feizi. 1211-1228 [doi]
• The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal ModelsAbeba Birhane, Sepehr Dehdashtian, Vinay Uday Prabhu, Vishnu Boddeti. 1229-1244 [doi]
• Speaking of accent: A content analysis of accent misconceptions in ASR researchKerri Prinos, Neal Patwari, Cathleen A. Power. 1245-1254 [doi]
• Law and the Emerging Political Economy of Algorithmic AuditsPetros Terzis, Michael Veale, Noëlle Gaumann. 1255-1267 [doi]
• Meaningful Transparency for Clinicians: Operationalising HCXAI Research with GynaecologistsBianca Giulia Sarah Schor, Emma Kallina, Jatinder Singh, Alan F. Blackwell. 1268-1281 [doi]
• A Causal Perspective on Label BiasVishwali Mhasawade, Alexander D'Amour, Stephen R. Pfohl. 1282-1294 [doi]
• Epistemic Power in AI Ethics Labor: Legitimizing Located ComplaintsDavid Gray Widder. 1295-1304 [doi]
• One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design DecisionsJan Simson, Florian Pfisterer, Christoph Kern. 1305-1320 [doi]
• Large Language Models Portray Socially Subordinate Groups as More Homogeneous, Consistent with a Bias Observed in HumansMessi H. J. Lee, Jacob M. Montgomery, Calvin K. Lai. 1321-1340 [doi]
• Perceptive Visual Urban Analytics is Not (Yet) Suitable for MunicipalitiesTim Alpherts, Sennay Ghebreab, Yen-Chia Hsu, Nanne van Noord. 1341-1354 [doi]
• The Impact of Differential Feature Under-reporting on Algorithmic FairnessNil-Jana Akpinar, Zachary C. Lipton, Alexandra Chouldechova. 1355-1382 [doi]
• Beyond Eviction Prediction: Leveraging Local Spatiotemporal Public Records to Inform ActionTasfia Mashiat, Alex DiChristofano, Patrick J. Fowler, Sanmay Das. 1383-1394 [doi]
• Collective Constitutional AI: Aligning a Language Model with Public InputSaffron Huang, Divya Siddarth, Liane Lovitt, Thomas I. Liao, Esin Durmus, Alex Tamkin, Deep Ganguli. 1395-1417 [doi]
• Fairness in Online Ad DeliveryJoachim Baumann 0002, Piotr Sapiezynski, Christoph Heitz, Aniko Hannak. 1418-1432 [doi]
• Knowledge-Enhanced Language Models Are Not Bias-Proof: Situated Knowledge and Epistemic Injustice in AIAngelie Kraft, Eloïse Soulier. 1433-1445 [doi]
• NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMsMaria Antoniak, Aakanksha Naik, Carla S. Alvarado, Lucy Lu Wang, Irene Y. Chen. 1446-1463 [doi]
• Achieving Reproducibility in EEG-Based Machine LearningSean Kinahan, Pouria Saidi, Ayoub Daliri, Julie Liss, Visar Berisha. 1464-1474 [doi]
• Investigating and Designing for Trust in AI-powered Code Generation ToolsRuotong Wang 0004, Ruijia Cheng, Denae Ford, Thomas Zimmermann 0001. 1475-1493 [doi]
• Transparency in the Wild: Navigating Transparency in a Deployed AI System to Broaden Need-Finding ApproachesViolet Turri, Katelyn Morrison, Katherine-Marie Robinson, Collin Abidi, Adam Perer, Jodi Forlizzi, Rachel Dzombak. 1494-1514 [doi]
• How the Types of Consequences in Social Scoring Systems Shape People's Perceptions and Behavioral ReactionsCarmen Loefflad, Jens Grossklags. 1515-1530 [doi]
• The Impact and Opportunities of Generative AI in Fact-CheckingRobert Wolfe, Tanushree Mitra. 1531-1543 [doi]
• Learning about Responsible AI On-The-Job: Learning Pathways, Orientations, and AspirationsMichael Madaio, Shivani Kapania, Rida Qadri, Ding Wang, Andrew Zaldivar, Remi Denton, Lauren Wilcox. 1544-1558 [doi]
• Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual FairnessEdward Small, Kacper Sokol, Daniel Manning, Flora D. Salim, Jeffrey Chan. 1559-1578 [doi]
• A Critical Survey on Fairness Benefits of Explainable AILuca Deck, Jakob Schoeffer, Maria De-Arteaga, Niklas Kühl 0001. 1579-1595 [doi]
• Evidence of What, for Whom? The Socially Contested Role of Algorithmic Bias in a Predictive Policing ToolMarta Ziosi, Dasha Pruss. 1596-1608 [doi]
• Participation in the age of foundation modelsHarini Suresh, Emily Tseng, Meg Young, Mary Gray, Emma Pierson, Karen Levy. 1609-1621 [doi]
• A Robot Walks into a Bar: Can Language Models Serve as Creativity SupportTools for Comedy? An Evaluation of LLMs' Humour Alignment with ComediansPiotr Mirowski, Juliette Love, Kory W. Mathewson, Shakir Mohamed. 1622-1636 [doi]
• Participatory Objective Design via Preference ElicitationAli Shirali, Jessie Finocchiaro, Rediet Abebe. 1637-1662 [doi]
• Animation and Artificial IntelligenceLuke Stark. 1663-1671 [doi]
• Careless Whisper: Speech-to-Text Hallucination HarmsAllison Koenecke, Anna Seo Gyeong Choi, Katelyn X. Mei, Hilke Schellmann, Mona Sloane. 1672-1681 [doi]
• Actionable Recourse for Automated Decisions: Examining the Effects of Counterfactual Explanation Type and Presentation on Lay User UnderstandingPeter M. VanNostrand, Dennis M. Hofmann, Lei Ma, Elke A. Rundensteiner. 1682-1700 [doi]
• Null Compliance: NYC Local Law 144 and the challenges of algorithm accountabilityLucas Wright, Roxana Mika Muenster, Briana Vecchione, Tianyao Qu, Pika Senhuang Cai, Alan Smith, Jacob Metcalf, J. Nathan Matias, et al.. 1701-1713 [doi]
• SIDEs: Separating Idealization from Deceptive 'Explanations' in xAIEmily Sullivan. 1714-1724 [doi]
• Algorithmic Harms and Algorithmic WrongsNathalie DiBerardino, Clair Baleshta, Luke Stark. 1725-1732 [doi]
• Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent CircumventionCedric Deslandes Whitney, Justin Norman. 1733-1744 [doi]
• CARMA: A practical framework to generate recommendations for causal algorithmic recourse at scaleAyan Majumdar, Isabel Valera. 1745-1762 [doi]
• System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-ProcessesArpit Agarwal, Nicolas Usunier, Alessandro Lazaric, Maximilian Nickel. 1763-1773 [doi]
• Rethinking open source generative AI: open washing and the EU AI ActAndreas Liesenfeld, Mark Dingemanse. 1774-1787 [doi]
• Group Fairness via Group ConsensusEunice Chan, Zhining Liu 0002, Ruizhong Qiu, Yuheng Zhang, Ross Maciejewski, Hanghang Tong. 1788-1808 [doi]
• Beyond Use-Cases: A Participatory Approach to Envisioning Data Science in Law EnforcementCaitlin Kearney, Jiri Hron, Helen Kosc, Miri Zilka. 1809-1826 [doi]
• Intervening to Increase Community Trust for Fair Network OutcomesNaina Balepur, Hari Sundaram. 1827-1837 [doi]
• Constructing Capabilities: The Politics of Testing Infrastructures for Generative AIGabriel Grill. 1838-1849 [doi]
• Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory AlgorithmsHilde Weerts, Aislinn Kelly-Lyth, Reuben Binns, Jeremias Adams-Prassl. 1850-1860 [doi]
• MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification ModelsGrace Guo, Lifu Deng, Animesh Tandon, Alex Endert, Bum chul Kwon. 1861-1874 [doi]
• AI as a Sport: On the Competitive Epistemologies of BenchmarkingWill Orr, Edward B. Kang. 1875-1884 [doi]
• Talking past each other? Navigating discourse on ethical AI: Comparing the discourse on ethical AI policy by Big Tech companies and the European CommissionCornelia Evers. 1885-1896 [doi]
• Fairness without Sensitive Attributes via Knowledge SharingHongliang Ni, Lei Han 0003, Tong Chen 0005, Shazia W. Sadiq, Gianluca Demartini. 1897-1906 [doi]
• The Conflict Between Algorithmic Fairness and Non-Discrimination: An Analysis of Fair Automated HiringRobert Lee Poe, Soumia Zohra El Mestari. 1907-1916 [doi]
• BaBE: Enhancing Fairness via Estimation of Explaining VariablesRuta Binkyte, Daniele Gorla, Catuscia Palamidessi. 1917-1925 [doi]
• Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language TechnologyRishav Hada, Safiya Husain, Varun Gumma, Harshita Diddee, Aditya Yadavalli, Agrima Seth, Nidhi Kulkarni, Ujwal Gadiraju, Aditya Vashistha, Vivek Seshadri, Kalika Bali. 1926-1939 [doi]
• Balancing Act: Evaluating People's Perceptions of Fair Ranking MetricsMallak Alkhathlan, Kathleen Cachel, Hilson Shrestha, Lane Harrison, Elke A. Rundensteiner. 1940-1970 [doi]
• The Emerging Artifacts of Centralized Open-CodeMadiha Zahrah Choksi, Ilan Mandel, David Widder, Yan Shvartzshnaider. 1971-1983 [doi]
• From the Fair Distribution of Predictions to the Fair Distribution of Social Goods: Evaluating the Impact of Fair Machine Learning on Long-Term UnemploymentSebastian Zezulka, Konstantin Genin. 1984-2006 [doi]
• Disentangling Perceptions of Offensiveness: Cultural and Moral CorrelatesAida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran. 2007-2021 [doi]
• Disentangling Perceptions of Offensiveness: Cultural and Moral CorrelatesAlex Jiahong Lu, Cameron Moy, Mark S. Ackerman, Jeffrey Morenoff, Tawanna R. Dillahunt. 2022-2032 [doi]
• Responsible Adoption of Generative AI in Higher Education: Developing a "Points to Consider" Approach Based on Faculty PerspectivesRavit Dotan, Lisa S. Parker, John Radzilowicz. 2033-2046 [doi]
• The unfair side of Privacy Enhancing Technologies: addressing the trade-offs between PETs and fairnessAlessandra Calvi, Gianclaudio Malgieri, Dimitris Kotzinos. 2047-2059 [doi]
• The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive ActionHilde J. P. Weerts, Raphaële Xenidis, Fabien Tarissan, Henrik Palmer Olsen, Mykola Pechenizkiy. 2060-2070 [doi]
• My Future with My Chatbot: A Scenario-Driven, User-Centric Approach to Anticipating AI ImpactsKimon Kieslich, Natali Helberger, Nicholas Diakopoulos. 2071-2085 [doi]
• The Impact of iBuying is About More Than Just Racial Disparities: Evidence from Mecklenburg County, NCIsaac Slaughter, Eva Maxfield Brown, Nicholas Weber. 2086-2100 [doi]
• Regulating Explainability in Machine Learning Applications - Observations from a Policy Design ExperimentNadia Nahar, Jenny Rowlett, Matthew Bray, Zahra Abba Omar, Xenophon Papademetris, Alka Menon, Christian Kästner. 2101-2112 [doi]
• Fairness Feedback Loops: Training on Synthetic Data Amplifies BiasSierra Calanda Wyllie, Ilia Shumailov, Nicolas Papernot. 2113-2147 [doi]
• Data, Annotation, and Meaning-Making: The Politics of Categorization in Annotating a Dataset of Faith-based Communal ViolenceMohammad Rashidujjaman Rifat, Abdullah Hasan Safir, Sourav Saha, Jahedul Alam Junaed, Maryam Saleki, Mohammad Ruhul Amin, Syed Ishtiaque Ahmed. 2148-2156 [doi]
• The Role of Explainability in Collaborative Human-AI Disinformation DetectionVera Schmitt, Luis-Felipe Villa-Arenas, Nils Feldhus, Joachim Meyer 0002, Robert P. Spang, Sebastian Möller 0001. 2157-2174 [doi]
• An Information Bottleneck Characterization of the Understanding-Workload Tradeoff in Human-Centered Explainable AILindsay Sanneman, Mycal Tucker, Julie A. Shah. 2175-2198 [doi]
• A Critical Analysis of the Largest Source for Generative AI Training Data: Common CrawlStefan Baack. 2199-2208 [doi]
• Seeing through opacity: The limitations of digital ad transparency in BrazilRose Marie Santini, Débora Salles, Bruno Maurício Martins, Alékis Moreira, João Gabriel Haddad. 2209-2221 [doi]
• Trust Issues: Discrepancies in Trustworthy AI Keywords Use in Policy and ResearchAutumn Toney, Kathleen Curlee, Emelia Probasco. 2222-2233 [doi]
• Algorithmic Arbitrariness in Content ModerationJuan Felipe Gómez, Caio Vieira Machado, Lucas Monteiro Paes, Flávio P. Calmon. 2234-2253 [doi]
• Black-Box Access is Insufficient for Rigorous AI AuditsStephen Casper, Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis, Benjamin Bucknall, Andreas A. Haupt, Kevin Wei, Jérémy Scheurer, Marius Hobbhahn, Lee Sharkey, Satyapriya Krishna, Marvin Von Hagen, Silas Alberti, Alan Chan, Qinyi Sun, Michael Gerovitch, David Bau, Max Tegmark, David Krueger, Dylan Hadfield-Menell. 2254-2272 [doi]
• Attitudes Toward Facial Analysis AI: A Cross-National Study Comparing Argentina, Kenya, Japan, and the USAChiara Ullstein, Severin Engelmann, Orestis Papakyriakopoulos, Yuko Ikkatai, Naira Paola Arnez-Jordan, Rose Caleno, Brian Mboya, Shuichiro Higuma, Tilman Hartwig, Hiromi M. Yokoyama, Jens Grossklags. 2273-2301 [doi]
• Embracing Diversity: Interpretable Zero-shot Classification Beyond One Vector Per ClassMazda Moayeri, Michael Rabbat, Mark Ibrahim, Diane Bouchacourt. 2302-2321 [doi]
• From "AI" to Probabilistic Automation: How Does Anthropomorphization of Technical Systems Descriptions Influence Trust?Nanna Inie, Stefania Druga, Peter Zukerman, Emily M. Bender. 2322-2347 [doi]
• Auditing for Racial Discrimination in the Delivery of Education AdsBasileal Imana, Aleksandra Korolova, John S. Heidemann. 2348-2361 [doi]
• Analyzing And Editing Inner Mechanisms of Backdoored Language ModelsMax Lamparth, Anka Reuel. 2362-2373 [doi]
• Understanding Disparities in Post Hoc Machine Learning ExplanationVishwali Mhasawade, Salman Rahman, Zoé Haskell-Craig, Rumi Chunara. 2374-2388 [doi]
• Recommend Me? Designing Fairness Metrics with ProvidersJessie J. Smith, Aishwarya Satwani, Robin Burke, Casey Fiesler. 2389-2399 [doi]
• Visions of a Discipline: Analyzing Introductory AI Courses on YouTubeSeverin Engelmann, Madiha Zahrah Choksi, Angelina Wang, Casey Fiesler. 2400-2420 [doi]
• Drivers and persuasive strategies to influence user intention to learn about manipulative designPooria Babaei, Julita Vassileva. 2421-2431 [doi]
• Model ChangeLists: Characterizing Updates to ML ModelsSabri Eyuboglu, Karan Goel, Arjun D. Desai, Lingjiao Chen, Mathew Monfort, Christopher Ré, James Zou. 2432-2453 [doi]
• (A)I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible LLM Policies for Legal AdviceInyoung Cheong, King Xia, K. J. Kevin Feng, Quan Ze Chen, Amy X. Zhang. 2454-2469 [doi]
• Transforming Dutch: Debiasing Dutch Coreference Resolution Systems for Non-binary PronounsGoya van Boven, Yupei Du, Dong Nguyen 0002. 2470-2483 [doi]
• Racial/Ethnic Categories in AI and Algorithmic Fairness: Why They Matter and What They RepresentJennifer Mickel. 2484-2494 [doi]
• On the Quest for Effectiveness in Human Oversight: Interdisciplinary PerspectivesSarah Sterz, Kevin Baum 0001, Sebastian Biewer, Holger Hermanns, Anne Lauber-Rönsberg, Philip Meinel, Markus Langer. 2495-2507 [doi]
• Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted AveragesMy H. Dinh, James Kotary, Ferdinando Fioretto. 2508-2517 [doi]
• One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI GenerationsYoonjoo Lee, Kihoon Son, Tae Soo Kim 0002, Jisu Kim, John Joon Young Chung, Eytan Adar, Juho Kim. 2518-2531 [doi]