The IE Tower in Madrid, Spain was the setting for the Eighth AAAI/ACM Conference on AI, Ethics, and Society Conference
We attended found the experience wonderful. However, like many academic conferences, while the people were lovely, the academic papers presented were tough going for mortals like Bakerloo.
If you see a paper among those presented that might interest our readers, please nominate them for translation into the vernacular at our Egghead to English™ Translation Service page.
The Proceedings of the Conference refer to 3 separate pages listing the published papers.
This makes it hard to search, so we combine all three sets of papers into one master list.
The title links to an abstract, and the PDF link takes you to the paper directly.
Published: 2025-10-15
Main Track I
- $100,000 or the Robot Gets It! Tech Workers’ Resistance Guide: Tech Worker Actions, History, Risks, Impacts, and the Case for a Radical FlankMohamed Abdalla2-14
- Steerable Pluralism: Pluralistic Alignment via Few-Shot Comparative RegressionJadie Adams, Brian Hu, Emily Veenhuis, David Joy, Bharadwaj Ravichandran, Aaron Bray, Anthony Hoogs, Arslan Basharat15-25
- Sound Check: Auditing Recent Audio Dataset PracticesWilliam Agnew, Julia Barnett, Annie Chu, Rachel Hong, Michael Feffer, Robin Netzorg, Harry H. Jiang, Ezra Awumey, Sauvik Das26-40
- Enhancing Image Comprehension: The Impact of AI-Generated Explanations on Perception of Altered and Synthetic MediaSaquib Ahmed, Tejo Gayathri Busireddy, Sanorita Dey41-54
- Too Focused on Accuracy to Notice the Fallout: Towards Socially Responsible Fake News DetectionEsma Aïmeur, Gilles Brassard, Dorsaf Sallami55-65
- An Investigation into Black and Brown Communities’ Engagement with Data & TechnologyEbtesam Al-Haque, Gabriella Thompson, Angela D. R. Smith, Brittany Johnson66-75
- Exploring “Just Noticeable” Group Fairness in RankingsMallak Alkhathlan, Hilson Shrestha, Lane Harrison, Elke Rundensteiner76-89
- Informing AI Risk Assessment with News Media: Analyzing National and Political Variation in the Coverage of AI RisksMowafak Allaham, Kimon Kieslich, Nicholas Diakopoulos90-103
- Ten Insights from Other Domains That Inform Responsible AI FrameworksDunstan Allison-Hope, Patrick Gage Kelley, Reena Jana, Angela McKay, Allison Woodruff104-115
- A Comprehensive Evaluation of the Sensitivity of Density-Ratio Estimation Based Fairness Measurement in RegressionAbdalwahab Almajed, Maryam Tabar, Peyman Najafirad116-126
- Adaptive Accountability in Networked Multi-Agent SystemsSaad Alqithami127-137
- Machine Learning and Public Health: Identifying and Mitigating Algorithmic Bias Through a Systematic ReviewSara Altamirano, Arjan Vreeken, Sennay Ghebreab138-151
- Disciplinary Practices in the Generation of Text Synthetic Data: A Critical Discourse AnalysisAdriana Alvarado Garcia, Nishanshi Atulkumar Shukla, Muneeza Azmat, Marisol Wong-Villacres152-165
- Toward A Causal Framework for Modeling PerceptionJose M. Alvarez, Salvatore Ruggieri166-178
- Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken EnglishBryce Anderson, Riley Galpin, Tom S. Juzek179-191
- Evaluating Goal Drift in Language Model AgentsRauno Arike, Elizabeth Donoway, Henning Bartsch, Marius Hobbhahn192-203
- Learning to Unlearn, Failing to Forget? Assessing Machine Unlearning Through Ethics and EpistemologyIqra Aslam, Donal Khosrowi, Rahul Nagshi204-216
- Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious QuestionsFarah Atif, Nursultan Askarbekuly, Kareem Darwish, Monojit Choudhury217-226
- The Disparate Effects of Partial Information in Bayesian Strategic LearningSrikanth Avasarala, Serena Wang, Juba Ziani227-237
- AI-OCI: A Novel Framework for Assessing AI’s Workforce Impact Using LLMsFrederick Awuah-Gyasi, Trilce Estrada238-248
- Who Owns the Robot?: Four Ethical and Socio-Technical Questions About Wellbeing Robots in the Real World Through Community EngagementMinja Axelsson, Jiaee Cheong, Rune Nyrup, Hatice Gunes249-264
- A Mathematical Philosophy of Explanations in Mechanistic InterpretabilityKola Ayonrinde, Louis Jaburi265-278
- Accountability Framework for Healthcare AI Systems: Towards Joint Accountability in Decision MakingPrachi Bagave, Marcus Westberg, Marijn Janssen, Aaron Yi Ding279-291
- Disaggregated Health Data in LLMs: Evaluating Data Equity in the Context of Asian American RepresentationUvini Balasuriya Mudiyanselage, Bharat Jayprakash, Kookjin Lee, K. Hazel Kwon292-303
- A Critical Look at a Critical Care Dataset: MIMIC-IV’s Construction, Contents, & ConsequencesPınar Barlas304-315
- Scenarios in Computing Research: A Systematic Review of the Use of Scenario Methods for Exploring the Future of Computing Technologies in SocietyJulia Barnett, Kimon Kieslich, Jasmine Sinchai, Nicholas Diakopoulos316-329
- GermanPartiesQA: Benchmarking Commercial Large Language Models and AI Companions for Political Alignment and SycophancyJan Batzner, Volker Stocker, Stefan Schmid, Gjergji Kasneci330-342
- Whose Personae? Synthetic Persona Experiments in LLM Research and Pathways to TransparencyJan Batzner, Volker Stocker, Bingjun Tang, Anusha Natarajan, Qinhao Chen, Stefan Schmid, Gjergji Kasneci343-354
- Aggregation Problems in Machine Ethics and AI AlignmentKevin Baum, Marija Slavkovik355-366
- No Such Thing as Free Brain Time: For a Pigouvian Tax on Attention CaptureHamza Belgroun, Franck Michel, Fabien Gandon367-378
- What’s Individual About Individual Fairness?Shai Ben-David, Pascale Gourdeau, Tosca Lechner, Ruth Urner379-390
- Centring the Margins: Mapping AI Systems as Systems of PowerGarfield Benjamin391-402
- The Term ‘Agent’ Has Been Diluted Beyond Utility and Requires RedefinitionBrinnae Bent403-413
- Making Sense of AI Ethics and Governance InvestmentsMarianna Bergamaschi Ganapini, Nicholas Berente, Francesca Rossi, Brian C. Goehring, Marialena Bevilacqua414-415
- Toward an Ethic of Synthetic Relationality: Identity, Intimacy, and Risk in AI-Mediated Roleplay EnvironmentsMaalvika Bhat416-429
- Emotional Plausibility vs. Emotional Truth: Designing Against Affective Misinformation in Conversational AIMaalvika Bhat, Duri Long430-444
- Importance of User Control in Data-Centric Steering for Healthcare ExpertsAditya Bhattacharya, Simone Stumpf, Katrien Verbert445-456
- Interactional Fairness in LLM Multi-Agent Systems: An Evaluation FrameworkRuta Binkyte457-468
- Mimetic AI Systems: Understanding and Regulating the Use of Generative Models for ImpersonationNorman Bukingolts469-485
- Demographic-Agnostic Fairness Without HarmZhongteng Cai, Mohammad Mahdi Khalili, Xueru Zhang486-497
- Trust Formation in Healthcare AI: An Exploration of Older Adults’ PerspectivesÖnder Celik, Marlene Kulla, Justyna Stypinska498-512
- Responsible AI in the OSS: Reconciling Innovation with Risk Assessment and DisclosureMahasweta Chakraborti, Bert Joseph Prestoza, Nicholas Vincent, Vladimir Filkov, Seth Frey513-527
- Social Scientists on the Role of AI in ResearchTatiana Chakravorti, Xinyu Wang, Pranav Narayanan Venkit, Sai Koneru, Kevin Munger, Sarah Rajtmajer528-540
- Re-imagining Virtual Communities: Ethical Guidelines for Studying Black TwitterChristina Chance, Kai-Wei Chang541-553
- Accountability Capture: How Record-Keeping to Support AI Transparency and Accountability (Re)shapes Algorithmic OversightShreya Chappidi, Jennifer Cobbe, Chris Norval, Anjali Mazumder, Jatinder Singh554-566
- Making Teams and Influencing Agents: Efficiently Coordinating Decision Trees for Interpretable Multi-Agent Reinforcement LearningRex Chen, Stephanie Milani, Zhicheng Zhang, Norman Sadeh, Fei Fang567-578
- Improving LLM Group Fairness on Tabular Data via In-Context LearningValeriia Cherepanova, Chia-Jung Lee, Nil-Jana Akpinar, Riccardo Fogliato, Martin Bertran Lopez, Michael Kearns, James Zou579-590
- Bridging Research Gaps Between Academic Research and Legal Investigations of Algorithmic DiscriminationColleen V. Chien, Anna Zink, Irene Y. Chen591-604
- Fairness of Automatic Speech Recognition: Looking Through a Philosophical LensAnna Seo Gyeong Choi, Hoon Choi605-614
- AI and the Social ContractChee Hae Chung, Daniel S. Schiff615-627
- Stop the Nonconsensual Use of Nude Images in ResearchPrincessa Cintaqia, Arshia Arya, Elissa M. Redmiles, Deepak Kumar, Allison McDonald, Lucy Qin628-629
- Localizing Persona Representations in LLMsCelia Cintas, Miriam Rateike, Erik Miehling, Elizabeth Daly, Skyler Speakman630-642
- Ethical Classification of Non-Coding Contributions in Open-Source Projects via Large Language ModelsSergio Cobos, Javier Luis Cánovas Izquierdo643-652
- Will AI Take My Job? Evolving Perceptions of Automation and Labor Risk in Latin AmericaAndrea Cremaschi, Dae-Jin Lee, Manuele Leonelli653-664
- Toward Responsible ASR for African American English Speakers: A Scoping Review of Bias and Equity in Speech TechnologyJay L. Cunningham, Adinawa Adjagbodjou, Jeffrey Basoah, Jainaba Jawara, Kowe Kadoma, Aaleyah Lewis665-678
- Advancing NLP Data Equity: Practitioner Responsibility and Accountability in NLP Data PracticesJay L. Cunningham, Kevin Zhongyang Shao, Rock Yuren Pang, Nathanael Elias Mengist679-691
- Algorithmic Fairness Beyond Legally Protected Groups and When Group Labels Are UnknownAbdoul Jalil D. Mahamadou, Judy W. Gichoya, Artem A. Trotsyuk692-704
- “Do Your Guardrails Even Guard?” Method for Evaluating Effectiveness of Moderation Guardrails in Aligning LLM Outputs with Expert User ExpectationsAnindya Das Antar, Xun Huan, Nikola Banovic705-718
- Adoption of Explainable Natural Language Processing: Perspectives from Industry and Academia on Practices and ChallengesMahdi Dhaini, Tobias Müller, Roksoliana Rabets, Gjergji Kasneci719-730
- When Explainability Meets Privacy: An Investigation at the Intersection of Post-hoc Explainability and Differential Privacy in the Context of Natural Language ProcessingMahdi Dhaini, Stephen Meisenbacher, Ege Erdogan, Florian Matthes, Gjergji Kasneci731-744
- Beyond Technocratic XAI: The Who, What & How in Explanation DesignRuchira Dhar, Stephanie Brandl, Ninell Oldenburg, Anders Søgaard745-759
- Automating Data Governance with Generative AILinus W. Dietz, Arif Wider, Simon Harrer760-771
- Highlight All the Phrases: Enhancing LLM Transparency Through Visual Factuality IndicatorsHyo Jin Do, Rachel Ostrand, Werner Geyer, Keerthiram Murugesan, Dennis Wei, Justin Weisz772-784
- Hide or Highlight: Understanding the Impact of Factuality Expression on User TrustHyo Jin Do, Werner Geyer785-797
- Experimental Evidence That AI-Managed Workers Tolerate Lower Pay Without DemotivationMengchen Dong, Levin Brinkmann, Omar Sherif, Shihan Wang, Xinyu Zhang, Jean-François Bonnefon, Iyad Rahwan798-798
- RAI Advocacy: Communicative Strategies for Advancing Responsible AI in Large Technology CompaniesJordan Duran, Samir Passi, Mihaela Vorvoreanu799-811
- VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual AugmentationDavid Egea, Barproda Halder, Sanghamitra Dutta812-823
- A Case for Specialisation in Non-Human EntitiesEl-Mahdi El-Mhamdi, Lê-Nguyên Hoang, Mariame Tighanimine824-837
- AI Policy for Whom? Reclaiming Governance from Capitalist CapturePetter Ericson, Rachele Carli, Jason Tucker, Virginia Dignum838-849
- Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI EvaluationMaria Eriksson, Erasmo Purificato, Arman Noroozian, João Vinagre, Guillaume Chaslot, Emilia Gomez, David Fernandez-Llorca850-864
- Incident Analysis for AI AgentsCarson Ezell, Xavier Roberts-Gaal, Alan Chan865-878
- From Explaining to Diagnosing: A Justice-Oriented Framework of Explainable AI for Bias DetectionMiriam Fahimi, Laura State, Atoosa Kasirzadeh879-892
- SycEval: Evaluating LLM SycophancyAaron Fanous, Jacob Goldberg, Ank Agarwal, Joanna Lin, Anson Zhou, Sonnet Xu, Vasiliki Bikia, Roxana Daneshjou, Sanmi Koyejo893-900
- Concept Creep in Safe Artificial IntelligenceLaura Fearnley, Ibrahim Habli901-912
- Social Misattributions in Conversations with Large Language ModelsAndrea Ferrario, Alberto Termine, Alessandro Facchini913-925
- Bridging the Communication Gap: Evaluating AI Labeling Practices for Trustworthy AI DevelopmentRaphael Fischer, Magdalena Wischnewski, Alexander van der Staay, Katharina Poitz, Christian Janiesch, Thomas Liebig926-939
- A Taxonomy of Questions for Critical Reflection in Machine-Assisted Decision-MakingSimon W.S. Fischer, Hanna Schraffenberger, Serge Thill, Pim Haselager940-954
- LLM-based Simulations of Human Behavior in Psychological ResearchSantiago Flórez Sánchez955-962
- Dataset-to-Dataset Evaluation Before (and Without) Sharing DataKeren Fuentes, Mimee Xu, Irene Y. Chen963-977
- IndiCASA: A Dataset and Bias Evaluation Framework for LLMs Using Contrastive Embedding Similarity in the Indian ContextSanthosh G S, Akshay Govind S, Gokul S Krishnan, Balaraman Ravindran, Sriraam Natarajan978-989
- Responsible AI Governance in the Public Sector: Explaining Contextual Dynamics Through a Realist Synthesis ReviewAna Gagua, Haiko van der Voort, Nihit Goyal, Alexander Verbraeck990-1002
Main Track II
- Known Unknowns and Unknown Unknowns: Designing a Scalable Adverse Event Reporting System for AILindsey Gailmard, Drew Spence, Christie Lawrence, Daniel E. Ho1004-1017
- The ‘Wild West’ of Medicine: Exploring the Emergence of ‘Grassroots’ AI Governance in RadiologyBhargavi Ganesh, Daniel S. Schiff, Stuart Anderson1018-1031
- Systemizing Multiplicity: The Curious Case of Arbitrariness in Machine LearningPrakhar Ganesh, Afaf Taik, Golnoosh Farnadi1032-1048
- The Politics of AI Systems Are Inextricable from Their Supply Chains: Public Values Versus the Digital Political EconomyBen Gansky1049-1061
- Towards Experience-Centered AI: A Framework for Integrating Lived Experience in Design and DevelopmentSanjana Gautam, Mohit Chandra, Ankolika De, Tatiana Chakravorti, Girik Malik, Munmun De Choudhury1062-1077
- Explanation Difference: Bridging Procedural and Distributional FairnessJoe Germino, Yuying Zhao, Tyler Derr, Nuno Moniz, Nitesh V. Chawla1078-1090
- Bias Is a Math Problem, AI Bias Is a Technical Problem: 10-Year Literature Review of AI/LLM Bias Research Reveals Narrow [Gender-Centric] Conceptions of ‘Bias’, and Academia-Industry GapSourojit Ghosh, Kyra Wilson1091-1106
- Documenting Patterns of Exoticism of Marginalized Populations Within Text-to-Image GeneratorsSourojit Ghosh, Sanjana Gautam, Pranav Narayanan Venkit, Avijit Ghosh1107-1119
- Embodied AI at the Margins: Postcolonial Ethics for Intelligent Robotic SystemsAtmadeep Ghoshal, Martim Brandão, Ruba Abu-Salma, Sanjay Modgil1120-1133
- From Efficiency to Equity: Measuring Fairness in Preference LearningShreeyash Gowaikar, Hugo Berard, Rashid Mushkani, Shin Koseki1134-1143
- AI Managing Agent-Based Healthcare ProcessesSimon Grange, Pearl Rwauya, Safa Alameri, Rami Bahsoon1144-1152
- A Longitudinal Randomized Control Study of Companion Chatbot Use: Anthropomorphism and Its Mediating Role on Social ImpactsRose E. Guingrich, Michael S. A. Graziano1153-1153
- Beauty and the Bias: Exploring the Impact of Attractiveness on Multimodal Large Language ModelsAditya Gulati, Moreno D’Incà, Nicu Sebe, Bruno Lepri, Nuria Oliver1154-1168
- Exposing AI Bias by Crowdsourcing: Democratizing Critique of Large Language ModelsHangzhi Guo, Pranav Narayanan Venkit, Eunchae Jang, Mukund Srinath, Wenbo Zhang, Bonam Mingole, Vipul Gupta, Kush R. Varshney, S. Shyam Sundar, Amulya Yadav1169-1180
- Bubble, Bubble, AI’s Rumble: Why Global Financial Regulatory Incident Re-Porting Is Our Shield Against Systemic StumblesAnchal Gupta, Gleb Papyshev, James T. Kwok1181-1193
- S-DAT: A Multilingual, GenAI-Driven Framework for Automated Divergent Thinking AssessmentJennifer Haase, Paul H. P. Hanel, Sebastian Pokutta1194-1205
- “Stealing Is Wrong… and Too Hard to Pull Off Successfully”: Inclusion of Normative Versus Capacity Information in Robot Command RejectionAlyssa Hanson, Gordon Briggs, Ruchen Wen, Yifei Zhu, Tom Williams1206-1218
- Responsible AI in Media Organizations: Four Case Studies Implementing Ethical Tools in PracticeMaaike Harbers, Sophie Horsman, Pascal Wiggers, Huib Aldewereld, Marcio Fuckner, Coert Van Gemeren, Oumaima Hajri, Floor Schukking, Nathalie Stembert1219-1230
- The Model Hears You: Audio Language Model Deployments Should Consider the Principle of Least PrivilegeLuxi He, Xiangyu Qi, Michel Liao, Inyoung Cheong, Prateek Mittal, Danqi Chen, Peter Henderson1231-1244
- Comparing Human and LLM Ethical Analyses: A Case Study in Computational Social Science ResearchSpencer Phillips Hey, Julie Walsh, Eni Mustafaraj1245-1254
- Complete Categorization of Instinct-Exploiting Data-Explanations and Their Generation with Large-Language ModelsTaro Higuchi, Einoshin Suzuki1255-1265
- AI Supply Chains: An Emerging Ecosystem of AI Actors, Products, and ServicesAspen Hopkins, Sarah H. Cen, Isabella Struckman, Andrew Ilyas, Luis Videgaray, Aleksander Mądry1266-1277
- NomicLaw: Emergent Trust and Strategic Argumentation in LLMs During Collaborative Law-MakingAsutosh Hota, Jussi P.P. Jokinen1278-1289
- An Audit and Analysis of LLM-Assisted Health Misinformation Jailbreaks Against LLMsAyana Hussain, Patrick Zhao, Nicholas Vincent1290-1301
- Towards Interactive Evaluations for Interaction Harms in Human-AI SystemsLujain Ibrahim, Saffron Huang, Lama Ahmad, Umang Bhatt, Markus Anderljung1302-1310
- How LLM Counselors Violate Ethical Standards in Mental Health Practice: A Practitioner-Informed FrameworkZainab Iftikhar, Amy Xiao, Sean Ransom, Jeff Huang, Harini Suresh1311-1323
- An Adaptive Responsible AI Governance Framework for Decentralized OrganizationsKiana Jafari Meimandi, Anka Reuel, Gabriela Aranguiz-Dias, Hatim Rahama, Ala-Eddine Ayadi, Xavier Boullier, Jérémy Verdo, Louis Montanie, Mykel Kochenderfer1324-1334
- Exporting Autonomy, Importing Dependency: The Geopolitical Work of “Sovereign AI”Heesoo Jang1335-1336
- Toward AI Matching Policies in Homeless Services: A Qualitative Study with PolicymakersCaroline M. Johnston, Olga Koumoundouros, Angel Hsing-Chi Hwang, Laura Onasch-Vera, Eric Rice, Phebe Vayanos1337-1349
- Documenting Deployment with Fabric: A Repository of Real-World AI GovernanceMackenzie Jorgensen, Kendall Brogle, Katherine M. Collins, Lujain Ibrahim, Arina Shah, Petra Ivanovic, Noah Broestl, Gabriel Piles, Paul Dongha, Hatim Abdulhussein, Adrian Weller, Jillian Powers, Umang Bhatt1350-1362
- On the Misalignment Between Legal Notions and Statistical Metrics of Intersectional FairnessDeborah Dormah Kanubala, Isabel Valera1363-1374
- Unintended Impacts of Automation for Integration? Simulating Integration Outcomes of Algorithm-Based Refugee Allocation in GermanyJakob Kappenberger, Clara Strasser Ceballos, Frederic Gerdon, Daria Szafran, Florian Rupp, Kai Eckert, Heiner Stuckenschmidt, Ruben Bach, Frauke Kreuter, Christoph Kern1375-1387
- Models and Algorithms for Balancing Efficiency and Equity in Vaccine AllocationJeffrey Keithley, Madeline Bonner, Sriram V. Pemmaraju1388-1400
- Burying the Lead: Adjusting Goals to Manage Functional Limitations of AI Tools in HealthcareJacqueline Kernahan, Richard Bartels, Mark de Reuver, Daniel Oberski, Roel Dobbe1401-1412
- Explaining the Reputational Risks of AI-Mediated Communication: Messages Labeled as AI-Assisted Are Viewed as Less Diagnostic of the Sender’s Moral CharacterPranav Khadpe, Kimi Wenzel, George Loewenstein, Geoff Kaufman1413-1423
- AI Governance in the Context of the EU AI Act (Extended Abstract)Byeong-Je Kim, Seunghoo Jeong, Bong-Kyung Cho, Ji-Bum Chung1424-1425
- RelAItionship Building: Analyzing Recruitment Strategies for Participatory AIEugene Kim, Vaibhav Balloli, Berelian Karimian, Elizabeth Bondi-Kelly, Benjamin Fish1426-1439
- Reflective Agency: Ethical and Empirical Framework for AI-Mediated Self-Reflection SystemsMinsol Kim, Wendy Wang, Jennifer Long, Rosalind Picard, Nathan Barczi, Pattie Maes1440-1452
- The AI Power Disparity Index: Toward a Compound Measure of AI Actors’ Power to Shape the AI EcosystemRachel M. Kim, Blaine Kuehnert, Seth Lazar, Ranjit Singh, Hoda Heidari1453-1464
- User Privacy and Large Language Models: An Analysis of Frontier Developers’ Privacy PoliciesJennifer King, Kevin Klyman, Emily Capstick, Tiffany Saade, Victoria Hsieh1465-1477
- Legal Affiliates’ Views on Algorithmic Decision MakingStyliani Kleanthous, Maria Kasinidou1478-1490
- Matters of Explanation: Rethinking Explainability with Tangible, Embodied, Material InteractionsGoda Klumbytė, Claude Draude1491-1500
- Dead Zone of Accountability: Why Social Claims in Machine Learning Research Should Be Articulated and DefendedTianqi Kou, Dana Calacci, Cindy Lin1501-1512
- GRAILS – A Framework for Embedding Ethical Safeguards in Software Applications for Responsible AIApurva Kulkarni, Chandrashekar Ramanathan1513-1523
- Write on Paper, Wrong in Practice: Why LLMs Still Struggle with Writing Clinical NotesKristina L. Kupferschmidt, Kieran O’Doherty, Joshua A. Skorburg1524-1534
- Labeling in Their Shoes: Improving Text Annotation with Cognitive Empathy Priming (Extended Abstract)Sung Hyun Kwon, Jessica Clark, Il-Horn Hann, Jui Ramaprasad1535-1535
- Fairness and Sparsity Within Rashomon Sets: Enumeration-Free Exploration and CharacterizationLucas Langlade, Julien Ferry, Gabriel Laberge, Thibaut Vidal1536-1547
- Govern with, Not For: Understanding the Stuttering Community’s Preferences and Goals for Speech AI Data Governance in the US and ChinaJingjin Li, Peiyao Liu, Rebecca Lietz, Ningjing Tang, Norman Makoto Su, Shaomei Wu1548-1560
- A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World IncidentsMegan Li, Wendy Bickersteth, Ningjing Tang, Lorrie Cranor, Jason Hong, Hong Shen, Hoda Heidari1561-1573
- AI, Normality, and Oppressive Things (Extended Abstract)Ting-an Lin, Linus Ta-Lun Huang1574-1574
- Reward-on-the-Line: A Novel Offline Reinforcement Learning Method for Building Legal Conversational AgentsXubo Lin, Mingze Wang, Grace Hui Yang, Daniel Chen1575-1584
- The Heterogeneous Effects of AI Companionship: An Empirical Model of Chatbot Usage and Loneliness and a Typology of User ArchetypesAuren R. Liu, Pat Pataranutaporn, Pattie Maes1585-1597
- Understanding Endogenous Data Drift in Adaptive Models with Recourse-Seeking UsersBo-Yi Liu, Zhi-Xuan Liu, Kuan Lun Chen, Shih-Yu Tsai, Jie Gao, Hao-Tsung Yang1598-1610
- FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal TransportPengxi Liu, Yi Shen, Matthew M. Engelhard, Benjamin A. Goldstein, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos1611-1622
- Privacy in Image Datasets: A Case Study on Pregnancy UltrasoundsRawisara Lohanimit, Yankun Wu, Amelia Katirai, Yuta Nakashima, Noa Garcia1623-1636
- Value Creation and Value Capture in AI: A Triple Helix ModelAntoni Lorente1637-1646
- TechOps: Technical Documentation Templates for the AI ActLaura Lucaj, Alex Loosley, Håkan Jonsson, Urs Gasser, Patrick van der Smagt1647-1660
- Anthropomorphism as Social Affordance: Charting the Co-Animation of Chatbots into Social “Agents”Takuya Maeda, Luke Stark1661-1673
- Mapping Moral Reasoning in LLMs: A Multi-Dimensional Analysis of Safety Principle ConflictsSachit Mahajan1674-1685
- Who Pays the RENT? Implications of Spatial Inequality for Prediction-Based Allocation PoliciesTasfia Mashiat, Patrick J. Fowler, Sanmay Das1686-1697
- Methodological Considerations for Centering Workers’ Epistemic Authority in AI ResearchMilagros Miceli, Adio-Adet Dinika, Krystal Kauffman, Camilla Salim Wagner, Laurenz Sachenbacher, Alex Hanna, Timnit Gebru1698-1710
- Aligning Agent Policies with Preferences: Human-Centered Interpretable Reinforcement LearningStephanie Milani, Zhicheng Zhang, Nicholay Topin, Lirong Xia, Fei Fang1711-1723
- “Accessibility People, You Go Work on That Thing of Yours over There”: Addressing Disability Inclusion in AI Product OrganizationsSanika Moharana, Cynthia L. Bennett, Erin Buehler, Michael Madaio, Vinita Tibdewal, Shaun K. Kane1724-1737
- Operationalizing Critical Data Approaches in Fraud Detection in Latin AmericaAna Paula Moritz, Alayna Kennedy1738-1747
- The Transparency Dilemma: An Experiment on How AI Disclosures Affect Credibility Perceptions and Engagement Across TopicsSophie Morosoli, Emma van der Goot, Valeria Resendez, Claes de Vreese, Natali Helberger1748-1757
- A Human-Centered Approach to Identifying Promises, Risks, & Challenges of Text-to-Image Generative AI in RadiologyKatelyn Morrison, Arpit Mathur, Aidan Bradshaw, Tom Wartmann, Steven Lundi, Afrooz Zandifar, Weichang Dai, Kayhan Batmanghelich, Motahhare Eslami, Adam Perer1758-1770
- Why (Not) Use AI? Analyzing People’s Reasoning and Conditions for AI AcceptabilityJimin Mun, Wei Bin Au Yeong, Wesley Hanwen Deng, Jana Schaich Borg, Maarten Sap1771-1784
- Co-Producing AI: Toward an Augmented, Participatory LifecycleRashid Mushkani, Hugo Berard, Toumadher Ammar, Cassandre Chatonnier, Shin Koseki1785-1799
- A Case for Data Valuation Transparency via DValCardsKeziah Naggita, Julienne LaChance1800-1811
- When in Doubt, Cascade: Towards Building Efficient and Capable GuardrailsManish Nagireddy, Inkit Padhi, Soumya Ghosh, Prasanna Sattigeri1812-1821
- Reframing AI-for-Good: Radical Questioning in AI for Human Trafficking InterventionsPratheeksha Nair, Gabriel Lefebvre, Maryam Molamohammadi, Sophia Garrel, Reihaneh Rabbany1822-1835
- From Categorical to Contextual: Interpreting High-Risk Classification for Profiling-Based AI Recommender Systems in the EU AI ActLuca Nannini1836-1847
- When Less Regulation Means More Complexity: The EU AI Liability Directive Withdrawal and Its Impact on European Technological CompetitivenessLuca Nannini1848-1861
- Emergent AI Surveillance: Overlearned Person Re-Identification and Its Mitigation in Law Enforcement ContextAn Thi Nguyen, Radina Stoykova, Eric Arazo1862-1874
- Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness MetricsTin Trung Nguyen, Jiannan Xu, Zora Che, Phuong-Anh Nguyen-Le, Rushil Dandamudi, Donald Braman, Furong Huang, Hal Daumé III, Zubin Jelveh1875-1887
- What Are Chatbots’ Stereotypes About? A Data-Driven Analysis of Large Language Models’ Content Associations with Social CategoriesGandalf Nicolas, Aylin Caliskan1888-1900
- Into the Void: Understanding Online Health Information in Low-Web Data LanguagesHellina Hailu Nigatu, Nuredin Ali Abdelkadir, Fiker Tewelde, Stevie Chancellor, Daricia Wilkinson1901-1912
- Rethinking Optimization: A Systems-Based Approach to Social ExternalitiesPegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Helen Nissenbaum1913-1925
- PETLP: A Privacy-by-Design Pipeline for Social Media Data in AI ResearchNick Oh, Giorgos D. Vrakas, Siân J.M. Brooke, Sasha Morinière, Toju Duke1926-1938
- The Stories We Govern By: AI, Risk, and the Power of ImaginariesNinell Oldenburg, Gleb Papyshev1939-1950
- Towards Automating Deliberation? The Idea of Deliberative Democracy Embedded in Google’s Habermas MachineNicolás Palomo Hernández1951-1960
- “One of Silicon Valley’s Most Divisive Topics”: How the Media Discusses Openness in AITamara Paris, Jin L.C. Guo, AJung Moon1961-1975
- Addressing Bias in LLMs: Strategies and Application to Fair AI-based RecruitmentAlejandro Peña, Julian Fierrez, Aythami Morales, Gonzalo Mancera, Miguel Lopez-Duran, Ruben Tolosana1976-1987
- Decentralising LLM Alignment: A Case for Context, Pluralism, and ParticipationOriane Peter, Kate Devlin1988-1999
- Disability Across Cultures: A Human-Centered Audit of Ableism in Western and Indic LLMsMahika Phutane, Aditya Vashistha2000-2014
Published: 2025-10-15
Student Abstracts
- Interactive AI and Human Behavior: Challenges and Pathways for AI GovernanceYulu Pi, Cagatay Turkay, Daniel Bogiatzis-Gibbons2016-2029
- Perceived Risks and Benefits of Disclosing ADHD to AI-based Educational Technologies: Semi-structured InterviewsOriane Pierrès, Alireza Darvishy, Markus Christen2030-2042
- Street-Level AI: Are Large Language Models Ready for Real-World Judgments?Gaurab Pokharel, Shafkat Farabi, Patrick J. Fowler, Sanmay Das2043-2054
- Against AI Jurisprudence: Large Language Models and the False Promises of Empirical JudgingDasha Pruss, Jessie Allen2055-2066
- The Case for “Thick Evaluations” of Cultural Representation in AIRida Qadri, Mark Díaz, Ding Wang, Michael Madaio2067-2080
- Same Stereotypes, Different Term? Understanding the “Global South” in AI EthicsEvani Radiya-Dixit, Angèle Christin2081-2093
- You Don’t Need Robust Machine Learning to Manage Adversarial Attack RisksEdward Raff, Michel Benaroch, Andrew L. Farris2094-2106
- Assessing Human Rights Risks in AI: A Framework for Model EvaluationVyoma Raman, Camille Chabot, Betsy Popken2107-2120
- Disclosure and Evaluation as Fairness Interventions for General-Purpose AIVyoma Raman, Judy Hanwen Shen, Andy K. Zhang, Lindsey Gailmard, Rishi Bommasani, Daniel E. Ho, Angelina Wang2121-2135
- Principles and Policy Recommendations for Comprehensive Genetic Data GovernanceVivek Ramanan, Ria Vinod, Cole Williams, Sohini Ramachandran, Suresh Venkatasubramanian2136-2149
- The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI HarmsPooja S. B. Rao, Sanja Šćepanović, Dinesh Babu Jayagopi, Mauro Cherubini, Daniele Quercia2150-2163
- Invisible Filters: Cultural Bias in Hiring Evaluations Using Large Language ModelsPooja S. B. Rao, Laxminarayen Nagarajan Venkatesan, Mauro Cherubini, Dinesh Babu Jayagopi2164-2176
- Unravelling Responsible AI: An Umbrella ReviewGisela Reyes-Cruz, Elvira Perez Vallejos, Pepita Barnard, Eike Schneiders, Marisela Tachiquin, Dominic Price, Damian Eke, Liz Dowthwaite, Aislinn Gomez Bergin, Virginia Portillo, Joel Fischer2177-2188
- AI Agents and the LawMark O. Riedl, Deven R. Desai2189-2198
- Measuring What Matters: Connecting AI Ethics Evaluations to System Attributes, Hazards, and HarmsShalaleh Rismani, Renee Shelby, Leah Davis, Negar Rostamzadeh, AJung Moon2199-2213
- SESGO: Spanish Evaluation of Stereotypical Generative OutputsMelissa Robles, Catalina Bernal, Denniss Raigoso, Mateo Dulce Rubio2214-2226
- Responsible AI Practices: Histories, Definitions, Barriers and Future DirectionsLorenn P. Ruster2227-2241
- Beyond “Fairness”: Rethinking the Use of Algorithmic Predictions in Criminal JusticeTashmia Sabera2242-2247
- Collective Agency in Art-making: Towards Community-centric Design of Text-to-Image (T2I) AI ToolsAbdullah Hasan Safir, Noshin Tahsin, Pratyasha Saha, Dipannita Nandi, Zulkarin Jahangir, Cecily Morrison, Syed Ishtiaque Ahmed, Nusrat Jahan Mim2248-2260
- AI-Powered Detection of Inappropriate Language in Medical School CurriculaChiman Salavati, Shannon Song, Scott A. Hale, Roberto E. Montenegro, Shiri Dori-Hacohen, Fabricio Murai2261-2272
- A Principled Approach for Data Bias MitigationBruno Scarone, Alfredo Viola, Renée J. Miller, Ricardo Baeza-Yates2273-2283
- The Intercepted Self: How Generative AI Challenges the Dynamics of the Relational SelfSandrine R. Schiller, Camilo Miguel Signorelli, Filippos Stamatiou2284-2291
- A Moral Agency Framework for Legitimate Integration of AI in Bureaucracies (Extended Abstract)Chris Schmitz, Joanna Bryson2292-2293
- From Big Data to Valued Data: A Dataset Value Taxonomy for AI-Native Empirical ResearchScott Seidenberger, Anindya Maiti2294-2305
- Moral Agents Unlike Us (Extended Abstract)Jen Semler2306-2306
- ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual LearningWonduk Seo, Zonghao Yuan, Yi Bu2307-2318
- How Deep Is Representational Bias in LLMs? The Cases of Caste and ReligionAgrima Seth, Monojit Choudhury, Sunayana Sitaram, Kentaro Toyama, Aditya Vashistha, Kalika Bali2319-2330
- Think Outside the Data: Colonial Biases and Systemic Issues in Automated Moderation Pipelines for Low-Resource LanguagesFarhana Shahid, Mona Elswah, Aditya Vashistha2331-2344
- Aligning AI with Public Values: Deliberation and Decision-Making for Governing Multimodal LLMs in Political Video AnalysisTanusree Sharma, Yujin Potter, Zachary Kilhoffer, Yun Huang, Dawn Song, Yang Wang2345-2359
- PRAC3 (Privacy, Reputation, Accountability, Consent, Credit, Compensation): Voice Actors in AI Data-economyTanusree Sharma, Yihao Zhou, Visar Berisha2360-2372
- Laissez-Faire Harms: Algorithmic Biases in Generative Language Models (Extended Abstract)Evan Shieh, Faye Marie Vassel, Cassidy R. Sugimoto, Thema Monroe-White2373-2374
- Biased AI Outputs Can Impact Humans’ Implicit Bias: A Case Study of the Impact of Gender-Biased Text-to-Image GeneratorsMattea Sim, Natalie Grace Brigham, Tadayoshi Kohno, Tessa E. S. Charlesworth, Aylin Caliskan2375-2386
- Epistemic Destabilization: AI-Driven Knowledge Generation and the Collapse of Validation SystemsBhavneet Singh2387-2398
- The Silicon Sovereignty Paradox: Navigating Fluid State-Corporate Power Dynamics in the Age of AIMaanya Singh, Anka Reuel2399-2409
- Making Bodies: Assumptions in the Design and Validation of Motion Capture TechnologyMona Sloane, Abigail Z. Jacobs, Emanuel Moss2410-2418
- Investigating Political and Demographic Associations in Large Language Models Through Moral Foundations TheoryNicole Smith-Vaniz, Harper Lyon, Lorraine Steigner, Ben Armstrong, Nicholas Mattei2419-2430
- From Sandbox to Laboratory: Refractive and Ethical Human / AI Knowledge Co-Production Through Game-ful Research PracticesLea Stöter2431-2441
- Beyond Proxy Variables: Extending Refugee Allocation Algorithms for Equitable PredictionsClara Strasser Ceballos, Marcus Novotny, Christoph Kern2442-2455
- Fairness in Federated Learning: Fairness for Whom?Afaf Taik, Khaoula Chehbouni, Golnoosh Farnadi2456-2469
- Modeling Strategic Risk in School Choice: A Case for Transparent DesignMayesha Tasnim, Paul Verhagen, Tobias Blanke, Erman Acar, Sennay Ghebreab2470-2479
- A Multidimensional Approach to Ethical AI AuditingSónia Teixeira, Atia Cortés, Dilhan Thilakarathne, Gianmarco Gori, Marco Minici, Monowar Bhuyan, Nina Khairova, Tosin Adewumi, Devvjiit Bhuyan, Jack O’Keefe, Carmela Comito, João Gama, Virginia Dignum2480-2492
- Agents Without Agency: Anthropological and Sociological Lessons for Contemporary AI Research and PolicyGreta Timaite, Michael Castelle2493-2507
- Who Foots the Bill? State-Backed No-Fault Compensation for Experimental Harms in Artificial Intelligence Regulatory SandboxesHa-Chi Tran2508-2521
- Understanding Privacy Norms Around LLM-Based Chatbots: A Contextual Integrity PerspectiveSarah Tran, Hongfan Lu, Isaac Slaughter, Bernease Herman, Aayushi Dangol, Yue Fu, Lufei Chen, Biniyam Gebreyohannes, Bill Howe, Alexis Hiniker, Nicholas Weber, Robert Wolfe2522-2534
- Toward Valid Measurement of (Un)fairness for Generative AI: A Proposal for Systematization Through the Lens of Fair Equality of ChancesKimberly Le Truong, Annette Zimmermann, Hoda Heidari2535-2549
- Participatory AI and the EU AI ActChiara Ullstein, Simon Jarvers, Michel Hohendanner, Orestis Papakyriakopoulos, Jens Grossklags2550-2562
- Fairness-Aware Post-Processing in Supervised Classification: L1/L2 Norm and Optimal Swapping MethodsFlore Vancompernolle Vromman, Sylvain Courtain, Pierre Leleux, Marco Saerens2563-2574
- A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI ModelsGaurav Verma, Jiawei Zhou, Mohit Chandra, Srijan Kumar, Munmun De Choudhury2575-2587
- Can Improved Data Representation Support AI for Health Equity? A Visual ApproachSteven Vethman, Jildau Bouwman, Cor Veenman2588-2601
- Exclusive Flux: A Review of Flux’s Generation of LGBTQ+ CouplesLynn Vonderhaar, Kayla Taylor, Jennifer Wojton, Omar Ochoa2602-2611
- “Just a Strange Pic”: Rethinking ‘Safety’ in GenAI Image Safety Annotation Tasks from Diverse Annotators’ PerspectivesDing Wang, Mark Díaz, Charvi Rastogi, Aida Davani, Vinodkumar Prabhakaran, Pushkar Mishra, Roma Patel, Alicia Parrish, Zoe Ashwood, Michela Paganini, Tian Huey Teh, Verena Rieser, Lora Aroyo2612-2624
- Do AI Companies Make Good on Voluntary Commitments to the White House?Jennifer Wang, Kayla Huang, Kevin Klyman, Rishi Bommasani2625-2636
- Diverse Human Value Alignment for Large Language Models via Ethical ReasoningJiahao Wang, Songkai Xue, Jinghui Li, Xiaozhen Wang2637-2648
- Toward a Taxonomy of Algorithmic Harms for Disability: A Systematic ReviewLining Wang, Vaishnav Kameswaran, Hernisa Kacorri2649-2665
- Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AIDawood Wasif, Dian Chen, Sindhuja Madabushi, Nithin Alluru, Terrence J. Moore, Jin-Hee Cho2666-2677
- AI Safety and Security Enable Innovation in Global Majority Countries (Extended Abstract)Joanna Wiaterek, Jared Perlo2678-2679
- The Socratic Dialogue as a Method for Virtue Ethics in AI: A Case StudyMaarten Wilders, Íñigo Martínez de Rituerto de Troya, Roel Dobbe2680-2691
- No Thoughts Just AI: Biased LLM Hiring Recommendations Alter Human Decision Making and Limit Human AutonomyKyra Wilson, Mattea Sim, Anna-Maria Gueorguieva, Aylin Caliskan2692-2704
- Bias Amplification in Stable Diffusion’s Representation of Stigma Through Skin Tones and Their HomogeneityKyra Wilson, Sourojit Ghosh, Aylin Caliskan2705-2717
- Toward Needs-Conscious Design: Co-Designing a Human-Centered Framework for AI-Mediated CommunicationRobert Wolfe, Aayushi Dangol, Jaewon Kim, Alexis Hiniker2718-2729
- When Algorithms Fail: The Case for Moral Repair (Extended Abstract)Pak-Hang Wong, Gernot Rieder2730-2731
- Brokering Ethics: A Retrospective Study on the Use of a Data Ethics FrameworkSophia Worth, Georgia Panagiotidou, Elena Simperl2732-2743
- What Comes After Harm? Mapping Reparative Actions in AI Through Justice FrameworksSijia Xiao, Haodi Zou, Alice Qian Zhang, Deepak Kumar, Hong Shen, Jason Hong, Motahhare Eslami2744-2756
- AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and InsightsJiannan Xu, Gujie Li, Jane Yi Jiang2757-2758
- Normative Moral Pluralism for AI: A Framework for Deliberation in Complex Moral Contexts (Extended Abstract)David Doron Yaacov2759-2759
- When the Past Misleads: Rethinking Training Data Expansion Under Temporal Distribution ShiftsChengyuan Yao, Yunxuan Tang, Christopher Brooks, Rene F. Kizilcec, Renzhe Yu2760-2771
- Why Do Decision Makers (Not) Use AI? A Cross-Domain Analysis of Factors Impacting AI AdoptionRebecca Yu, Valerie Chen, Ameet Talwalkar, Hoda Heidari2772-2784
- Designing Stakeholder-Based Pedagogy for AI Ethics Education: Insights from a Multi-Institutional Case StudyYifan Zhang, Harini Suresh, Julia Netter2785-2795
- Do Students Rely on AI? Analysis of Student-ChatGPT Conversations from a Field StudyJiayu Zheng, Lingxin Hao, Kelun Lu, Ashi Garg, Mike Reese, Melo-Jean Yap, I-Jeng Wang, Xingyun Wu, Wenrui Huang, Jenna Hoffman, Ariane Kelly, My Le, Ryan Zhang, Yanyu Lin, Muhammad Faayez, Anqi Liu2796-2807
- Should LLMs Be WEIRD? Exploring WEIRDness and Human Rights in Large Language ModelsKe Zhou, Marios Constantinides, Daniele Quercia2808-2820
- Aligning AI Systems with Human Values: A Method for Identifying and Specifying ValuesLiv Ziegfeld, Esther Kox, Ivana Akrum, Marlijn Heijnen2821-2831
- Needle in a Patched Haystack: Evaluating Saliency Maps for Vision LLMsBastien Zimmermann, Matthieu Boussard2832-2839
Main Track III
Student Abstracts
- Advancing Fairness in Generative AI Through Intrinsic and Extrinsic Bias Evaluation and MitigationMina Arzaghi2841-2843
- The Ethics of Surveillance AI: Framing Data as a Socio-collective Good in Mitigating Data ColonialismAbiola Azeez2844-2845
- Lay Stakeholder Centric Sociotechnical Mechanisms for Addressing the Impacts of Generative AIJulia Barnett2846-2847
- Supporting Marginalized Learners with GenAI (Extended Abstract)Hamayoon Behmanush2848-2849
- On Forecasting Lags in AI Risk EvaluationPaolo Bova2850-2852
- Human Centered AI for Research Ethics and TransparencyTatiana Chakravorti2853-2855
- The Dilemmas of Moral Autonomy in the Transfer of Human Consciousness to AIDenis Chiriac2856-2857
- Beyond Templates: Understanding and Addressing Human-AI Interaction Harms Through Practitioners’ AssumptionsJulia De Miguel Velázquez2858-2860
- Deploying AI in Uncertain Environments: A Technical Limitation or a Human Characteristic?Marc T.J Elliott2861-2863
- A Survey of Large Language Model Use and Its Technical Limitations in Military Systems Through a Decolonial Lens (Extended Abstract)Sonia Fereidooni2864-2866
- Towards Responsible AI Governance in the Brazilian JudiciaryBruno Fonseca2867-2868
- Improvising Accountability: The Everyday Governance Work of Responsible AI in the Public SectorAna Gagua2869-2871
- From Model Multiplicity to Prompt Multiplicity: Emerging Arbitrariness Concerns in the Age of Generative AIPrakhar Ganesh2872-2874
- AI Ethics in Cyborg Anthropology: Examining AI-Driven Job Displacement Among Women and Marginalized GroupsTessina Grant Moloney2875-2877
- Regulatory Policies on Ethics Evaluations for Large-Scale AI SystemsNeha R. Gupta2878-2880
- Extended Abstract: Building Preference Aware Trustworthy AI Through Fairness and InterpretabilityJingyu Hu2881-2882
- Fairness in Social Media Platforms: Modeling Behavior and Designing InterventionsSalima Jaoua2883-2884
- Critical Explorations on the Socio-Ethical Implications of Creative AI for ArtistsAnna-Kaisa Kaila2885-2886
- FATE-Compliant ML Architecture with Blockchain-Verifiable Auditing: A Governance Framework for Ethical Compliance in FinTechSamah S. Kareem2887-2889
- Governing AI Proactively: Cooperative Models of Anticipation and AccountabilityJared Katzman2890-2892
- Algorithmic RecourseKshitij Kayastha2893-2895
- The Design and Analysis of Algorithmic Vaccine Allocation FrameworksJeffrey Keithley2896-2898
- Binary Optics: Colonial Classification of Trans Lives in Algorithmic TechnologiesChristoffer Koch Andersen2899-2901
- Voice AI and Hermeneutical Injustice at the BorderSuvradip Maitra2902-2904
- Leveraging AI and ESG to Combat Corporate Corruption: An Integrated FrameworkOludolapo Makinde2905-2907
- Predictability in Autonomous Driving SystemsFélix Martí-Pérez2908-2910
- How Can Large Language Models Be More Reliable?Yael Moros Daval2911-2912
- Human Models for Planning Behavioral Interventions with Reinforcement LearningEura Nofshin2913-2915
- Machine Legibility and Epistemic Governance in Malaysia’s Smart Cities: A Postcolonial Analysis of Algorithmic Knowledge, Identity, and State PowerHesam Nourooz Pour2916-2917
- Beyond Automation: Understanding Fairness, Ethics, and Human Discretion in AI-driven Societal DecisionsGaurab Pokharel2918-2920
- Precedent-Based Professional Role Ethics for AI Decision AnalysisChristopher Rauch2921-2923
- Auditing and Validating Fairness and Ethics in Machine Learning SystemsDisa Sariola2924-2926
- Resistance to Change as a Diagnostic Insight: An Interdisciplinary Examination of Stakeholder Opposition to AI in Primary CareTeresa Sides2927-2929
- Bridging Liability Gaps in the Age of AI: The Case for No-Fault Compensation SchemesHa-Chi Tran2930-2932
- To Regulate or to Be Regulated? – How to Protect the ‘Freedom of Mind’ Against Emotional AI SurveillanceÖznur Uğuz2933-2935
- Platform Vernaculars: How AI Image Generators Create New Forms of Visual BiasJinu K Varghese2936-2938
- Between Code and Creed: Islamic Ethical In-Betweenness on AI in IndonesiaDaphne Wong-A-Foe2939-2941
- AI Contextual Framework: A Zoning Approach to Ethical AI DeploymentYao Xie2942-2943
- On the Computational, Informational, and Physical Foundations for AI SafetyRobin Young2944-2946
- Safe and Explainable Machine Learning for High-Impact DecisionsKhadija Zanna2947-2949
Alex Bakerloo 