Table of Contents

• The Generative AI Deployment Rush: How to Democratize the Politics of PaceAnnette Zimmermann. 1 [doi]
• Changing distributions and preferences in learning systemsJamie Morgenstern. 2 [doi]
• AI for/by the majority world: From technologies of dispossession to technologies of radical carePaola Ricaurte. 3-4 [doi]
• Protecting Children from Online Exploitation: Can a Trained Model Detect Harmful Communication Strategies?Darren Cook, Miri Zilka, Heidi DeSandre, Susan Giles, Simon Maskell. 5-14 [doi]
• Analysis of Climate Campaigns on Social Media using Bayesian Model AveragingTunazzina Islam, Ruqi Zhang, Dan Goldwasser. 15-25 [doi]
• AI Art and Misinformation: Approaches and Strategies for Media Literacy and Fact CheckingJohanna Walker, Gefion Thuermer, Julián Vicens, Elena Simperl. 26-37 [doi]
• From Preference Elicitation to Participatory ML: A Critical Survey & Guidelines for Future ResearchMichael Feffer, Michael Skirpan, Zachary C. Lipton, Hoda Heidari. 38-48 [doi]
• How does Value Similarity affect Human Reliance in AI-Assisted Ethical Decision Making?Saumik Narayanan, Guanghui Yu, Chien-Ju Ho, Ming Yin 0001. 49-57 [doi]
• User Tampering in Reinforcement Learning Recommender SystemsAtoosa Kasirzadeh, Charles Evans. 58-69 [doi]
• Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image DevelopmentShalaleh Rismani, Renee Shelby, Andrew Smart, Renelito Delos Santos, AJung Moon, Negar Rostamzadeh. 70-83 [doi]
• Reward Reports for Reinforcement LearningThomas Krendl Gilbert, Nathan Lambert, Sarah Dean, Tom Zick, Aaron J. Snoswell, Soham Mehta. 84-130 [doi]
• A Systematic Review of Ethical Concerns with Voice AssistantsWilliam Seymour, Xiao Zhan, Mark Coté, Jose M. Such. 131-145 [doi]
• The Ethical Implications of Generative Audio Models: A Systematic Literature ReviewJulia Barnett. 146-161 [doi]
• Robust Artificial Moral Agents and MetanormativityTyler Cook. 162-169 [doi]
• Mitigating Voter Attribute Bias for Fair Opinion AggregationRyosuke Ueda, Koh Takeuchi, Hisashi Kashima. 170-180 [doi]
• Learning Optimal Fair Decision Trees: Trade-offs Between Interpretability, Fairness, and AccuracyNathanael Jo, Sina Aghaei, Jack Benson, Andrés Gómez 0001, Phebe Vayanos. 181-192 [doi]
• Model Debiasing via Gradient-based Explanation on RepresentationJindi Zhang, Luning Wang, Dan Su 0003, Yongxiang Huang, Caleb Chen Cao, Lei Chen. 193-204 [doi]
• Sampling Individually-Fair Rankings that are Always Group FairSruthi Gorantla, Anay Mehrotra, Amit Deshpande, Anand Louis. 205-216 [doi]
• Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity ScoresAlexandre Nanchen, Lakmal Meegahapola, William Droz, Daniel Gatica-Perez. 217-228 [doi]
• A Deep Dive into Dataset Imbalance and Bias in Face IdentificationValeriia Cherepanova, Steven Reich, Samuel Dooley, Hossein Souri, John P. Dickerson, Micah Goldblum, Tom Goldstein. 229-247 [doi]
• Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and RisksYilun Zhou. 248-258 [doi]
• Multicalibrated Regression for Downstream FairnessIra Globus-Harris, Varun Gupta 0006, Christopher Jung 0001, Michael Kearns, Jamie Morgenstern, Aaron Roth 0001. 259-286 [doi]
• Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation ModelsPeter Henderson 0002, Eric Mitchell, Christopher D. Manning, Dan Jurafsky, Chelsea Finn. 287-296 [doi]
• Not So Fair: The Impact of Presumably Fair Machine Learning ModelsMackenzie Jorgensen, Hannah Richert, Elizabeth Black, Natalia Criado, Jose M. Such. 297-311 [doi]
• Target specification bias, counterfactual prediction, and algorithmic fairness in healthcareEran Tal. 312-321 [doi]
• Unpicking Epistemic Injustices in Digital Health: On the Implications of Designing Data-Driven Technologies for the Management of Long-Term ConditionsSJ Bennett, Caroline Claisse, Ewa Luger, Abigail C. Durrant. 322-332 [doi]
• Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care UnitMing-Ying Yang, Gloria Hyun-Jung Kwak, Tom J. Pollard, Leo Anthony Celi, Marzyeh Ghassemi. 333-350 [doi]
• Ground Truth Or Dare: Factors Affecting The Creation Of Medical Datasets For Training AIHubert Dariusz Zajac, Natalia Rozalia Avlona, Finn Kensing, Tariq Osman Andersen, Irina Shklovski. 351-362 [doi]
• AI Art and its Impact on ArtistsHarry H. Jiang, Lauren Brown, Jessica Cheng, Mehtab Khan, Abhishek Gupta, Deja Workman, Alex Hanna, Johnathan Flowers, Timnit Gebru. 363-374 [doi]
• Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI HarmsNathan Dennler, Anaelia Ovalle, Ashwin Singh, Luca Soldaini, Arjun Subramonian, Huy Tu, William Agnew, Avijit Ghosh, Kyra Yee, Irene Font Peradejordi, Zeerak Talat, Mayra Russo, Jessica de Jesus de Pinho Pinhal. 375-386 [doi]
• Action Guidance and AI AlignmentPamela Robinson. 387-395 [doi]
• Typology of Risks of Generative Text-to-Image ModelsCharlotte Bird, Eddie L. Ungless, Atoosa Kasirzadeh. 396-410 [doi]
• On the Connection between Game-Theoretic Feature Attributions and Counterfactual ExplanationsEmanuele Albini, Shubham Sharma, Saumitra Mishra, Danial Dervovic, Daniele Magazzeni. 411-431 [doi]
• Adaptive Adversarial Training Does Not Increase Recourse CostsIan Hardy, Jayanth Yetukuri, Yang Liu. 432-442 [doi]
• REFRESH: Responsible and Efficient Feature Reselection guided by SHAP valuesShubham Sharma, Sanghamitra Dutta, Emanuele Albini, Freddy Lécué, Daniele Magazzeni, Manuela Veloso. 443-453 [doi]
• Fairness Implications of Encoding Protected Categorical AttributesCarlos Mougan, José Manuel Álvarez Colmenares, Salvatore Ruggieri, Steffen Staab. 454-465 [doi]
• Machine Learning practices and infrastructuresGlen Berman. 466-481 [doi]
• "☑ Fairness Toolkits, A Checkbox Culture?" On the Factors that Fragment Developer Practices in Handling Algorithmic HarmsAgathe Balayn, Mireia Yurrita, Jie Yang 0028, Ujwal Gadiraju. 482-495 [doi]
• Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI FairnessAnaelia Ovalle, Arjun Subramonian, Vagrant Gautam, Gilbert Gee, Kai-Wei Chang. 496-511 [doi]
• A multidomain relational framework to guide institutional AI research and adoptionVincent J. Straub, Deborah Morgan, Youmna Hashem, John Francis, Saba Esnaashari, Jonathan Bright. 512-519 [doi]
• Flickr Africa: Examining Geo-Diversity in Large-Scale, Human-Centric Visual DataKeziah Naggita, Julienne LaChance, Alice Xiang. 520-530 [doi]
• Evaluation of targeted dataset collection on racial equity in face recognitionRachel Hong, Tadayoshi Kohno, Jamie Morgenstern. 531-541 [doi]
• Evaluating Biased Attitude Associations of Language Models in an Intersectional ContextShiva Omrani Sabbaghi, Robert Wolfe, Aylin Caliskan. 542-553 [doi]
• Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated ArticlesPranav Narayanan Venkit, Sanjana Gautam, Ruchi Panchanadikar, Ting-Hao Kenneth Huang, Shomir Wilson. 554-565 [doi]
• No Justice, No Robots: From the Dispositions of Policing to an Abolitionist RoboticsTom Williams 0001, Kerstin Sophie Haring. 566-575 [doi]
• Why We Need to Know More: Exploring the State of AI Incident Documentation PracticesViolet Turri, Rachel Dzombak. 576-583 [doi]
• What does it mean to be a responsible AI practitioner: An ontology of roles and skillsShalaleh Rismani, AJung Moon. 584-595 [doi]
• Effective Enforceability of EU Competition Law Under AI Development Scenarios: a Framework for Anticipatory GovernanceShin-Shin Hua, Haydn Belfield. 596-605 [doi]
• The Bureaucratic Challenge to AI Governance: An Empirical Assessment of Implementation at U.S. Federal AgenciesChristie Lawrence, Isaac Cui, Daniel Ho. 606-652 [doi]
• Self-determination through explanation: an ethical perspective on the implementation of the transparency requirements for recommender systems set by the Digital Services Act of the European UnionMatteo Fabbri. 653-661 [doi]
• Reckoning with the Disagreement Problem: Explanation Consensus as a Training ObjectiveAvi Schwarzschild, Max Cembalest, Karthik Rao, Keegan Hines, John P. Dickerson. 662-678 [doi]
• When Fair Classification Meets Noisy Protected AttributesAvijit Ghosh, Pablo Kvitca, Christo Wilson. 679-690 [doi]
• Disambiguating Algorithmic Bias: From Neutrality to JusticeElizabeth Edenberg, Alexandra Wood. 691-704 [doi]
• A sector-based approach to AI ethics: Understanding ethical issues of AI-related incidents within their sectoral contextDafna Burema, Nicole Debowski-Weimann, Alexander von Janowski, Jil Grabowski, Mihai Maftei, Mattis Jacobs, Patrick van der Smagt, Djalel Benbouzid. 705-714 [doi]
• Democratising AI: Multiple Meanings, Goals, and MethodsElizabeth Seger, Aviv Ovadya, Divya Siddarth, Ben Garfinkel, Allan Dafoe. 715-722 [doi]
• Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm ReductionRenee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N'Mah Yilla-Akbari, Jess Gallegos, Andrew Smart, Emilio García, Gurleen Virk. 723-741 [doi]
• Towards User Guided Actionable RecourseJayanth Yetukuri, Ian Hardy, Yang Liu. 742-751 [doi]
• Learning from Discriminatory Training DataPrzemyslaw A. Grabowicz, Nicholas Perello, Kenta Takatsu. 752-763 [doi]
• Stress-Testing Bias Mitigation Algorithms to Understand Fairness VulnerabilitiesKaran Bhanot, Ioana Baldini, Dennis Wei, Jiaming Zeng, Kristin P. Bennett. 764-774 [doi]
• Perceived Algorithmic Fairness using Organizational Justice Theory: An Empirical Case Study on Algorithmic HiringGuusje Juijn, Niya Stoimenova, João Reis, Dong Nguyen 0002. 775-785 [doi]
• Social Biases through the Text-to-Image Generation LensRanjita Naik, Besmira Nushi. 786-808 [doi]
• Evaluating the Fairness of Discriminative Foundation Models in Computer VisionJunaid Ali 0001, Matthäus Kleindessner, Florian Wenzel, Kailash Budhathoki, Volkan Cevher, Chris Russell 0001. 809-833 [doi]
• How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech DetectionPhilippe Lammerts, Philip Lippmann, Yen-Chia Hsu, Fabio Casati, Jie Yang 0028. 834-844 [doi]
• GATE: A Challenge Set for Gender-Ambiguous Translation ExamplesSpencer Rarrick, Ranjita Naik, Varun Mathur, Sundar Poudel, Vishal Chowdhary. 845-854 [doi]
• Reclaiming the Digital Commons: A Public Data Trust for Training DataAlan Chan, Herbie Bradley, Nitarshan Rajkumar. 855-868 [doi]
• Human Uncertainty in Concept-Based AI SystemsKatherine Maeve Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham. 869-889 [doi]
• Diffusing the Creator: Attributing Credit for Generative AI OutputsDonal Khosrowi, Finola Finn, Elinor Clark. 890-900 [doi]
• ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource LanguagesSourojit Ghosh, Aylin Caliskan. 901-912 [doi]
• Supporting Human-AI Collaboration in Auditing LLMs with LLMsCharvi Rastogi, Marco Túlio Ribeiro, Nicholas King, Harsha Nori, Saleema Amershi. 913-926 [doi]
• Measures of Disparity and their Efficient EstimationHarvineet Singh, Rumi Chunara. 927-938 [doi]
• Exploring the Effect of AI Assistance on Human Ethical DecisionsSaumik Narayanan. 939-940 [doi]
• Queering Futures: the design of an expanded mixed methods research framework integrating qualitative, quantitative, and practice-based modesJess Parris Westbrook. 941 [doi]
• Are Model Explanations Useful in Practice? Rethinking How to Support Human-ML InteractionsValerie Chen. 942-944 [doi]
• The ELIZA Defect: Constructing the Right Users for Generative AIDaniel Affsprung. 945-946 [doi]
• Governing Silicon Valley and Shenzhen: Assessing a New Era of Artificial Intelligence Governance in the US and ChinaEmmie Hine. 947-949 [doi]
• Safety Issues in Conversational SystemsJinhwa Kim. 950-951 [doi]
• The Role of Governance in Bridging AI Responsibility Gaps: An interdisciplinary evaluation of emerging AI governance measuresBhargavi Ganesh. 952-954 [doi]
• Advancing Health Equity with Machine LearningVishwali Mhasawade. 955-956 [doi]
• Designing Interfaces to Elicit Data Issues for Data WorkersKevin Bryson. 957-958 [doi]
• Navigating the Limits of AI Explainability: Designing for Novice Technology Users in Low-Resource SettingsChinasa T. Okolo. 959-961 [doi]
• True and Fair: Robust and Unbiased Fake News Detection via Interpretable Machine LearningChahat Raj, Anjishnu Mukherjee, Ziwei Zhu 0001. 962-963 [doi]
• Benchmarked Ethics: A Roadmap to AI Alignment, Moral Knowledge, and ControlAidan Kierans. 964-965 [doi]
• Algorithmic Bias: When stigmatization becomes a perception: The stigmatized become endangeredOlalekan Joseph Akintande. 966-971 [doi]
• Ethical Principles for Reasoning about Value PreferencesJessica Woodgate. 972-974 [doi]
• Explainability in Process Mining: A Framework for Improved Decision-MakingLuca Nannini. 975-976 [doi]
• Can AlphaGo be apt subjects for Praise/Blame for "Move 37"?Mubarak Hussain. 977-979 [doi]
• Anticipatory regulatory instruments for AI systems: A comparative study of regulatory sandbox schemesDeborah Morgan. 980-981 [doi]
• Examining the Ethics of Brain-Computer Interfaces: Ensuring Safety, the Rights and Dignity of PersonhoodTerkura Thomas Mchia. 982 [doi]
• How to promote equitable sleep care among people experiencing homelessness: An AI-enabled person-centred computer vision-based solutionBehrad Taghibeyglou. 983-984 [doi]
• Sealed Knowledges: A Critical Approach to the Usage of LLMs as Search EnginesNora Freya Lindemann. 985-986 [doi]
• Investigating the Relative Strengths of Humans and Machine Learning in Decision-MakingCharvi Rastogi. 987-989 [doi]
• Exploring the Moral Value of Explainable Artificial Intelligence Through Public Service Postal BanksJoshua Brand. 990-992 [doi]
• AI-driven Automation as a Pre-condition for EudaimoniaAnastasia Siapka. 993-994 [doi]
• Multi Value Alignment: four steps for aligning ML/AI development choices with multiple valuesHetvi Jethwani. 995 [doi]
• "Way too good and way beyond comfort": The trade-off between user perception of benefits and comfort in media personalisationAnna Marie Rezk. 996-998 [doi]
• Towards formalizing and assessing AI fairnessAnna Schmitz. 999-1001 [doi]
• How and to which extent will the provisions of the Digital Services Act of the European Union impact on the relationship between users and platforms as information providers?Matteo Fabbri. 1002-1003 [doi]
• Towards a Holistic Approach: Understanding Sociodemographic Biases in NLP Models using an Interdisciplinary LensPranav Narayanan Venkit. 1004-1005 [doi]
• Evaluation of targeted dataset collection on racial equity in face recognitionRachel Hong. 1006-1007 [doi]
• Individual and Group-level considerations of Actionable RecourseJayanth Yetukuri. 1008-1009 [doi]
• The Mechanical Psychologist: Leveraging AI for Detecting Predatory Behaviour in Online InteractionsDarren Cook. 1010-1012 [doi]