Abstract is missing.
- The Ethics of Datasets: Moving Forward Requires Stepping BackArvind Narayanan. 1 [doi]
- Platform Power and AI: The Case of ContentSeth Lazar, Taina Bucher, Aleksandra Korolova, Cailin O'Connor, Nicolas Suzor. 2 [doi]
- Artificial Intelligence and the Purpose of Social SystemsSebastian Benthall, Jake Goldenfein. 3-12 [doi]
- A Multi-Agent Approach to Combine Reasoning and Learning for an Ethical BehaviorRémy Chaput, Jérémy Duval, Olivier Boissier, Mathieu Guillermin, Salima Hassas. 13-23 [doi]
- Gender Bias and Under-Representation in Natural Language Processing Across Human LanguagesYan Chen, Christopher Mahoney, Isabella Grasso, Esma Wali, Abigail Matthews, Thomas Middleton, Mariama Njie, Jeanna N. Matthews. 24-34 [doi]
- Blind Justice: Algorithmically Masking Race in Charging DecisionsAlex Chohlas-Wood, Joe Nudell, Keniel Yao, Zhiyuan (Jerry) Lin, Julian Nyarko, Sharad Goel. 35-45 [doi]
- Emergent Unfairness in Algorithmic Fairness-Accuracy Trade-Off ResearchA. Feder Cooper, Ellen Abrams, Na-Na. 46-54 [doi]
- Fair Machine Learning Under Partial ComplianceJessica Dai, Sina Fazelpour, Zachary Lipton. 55-65 [doi]
- Minimax Group Fairness: Algorithms and ExperimentsEmily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth 0001. 66-76 [doi]
- Co-design and Ethical Artificial Intelligence for Health: Myths and MisconceptionsJoseph Donia, Jay Shaw. 77 [doi]
- Blacklists and Redlists in the Chinese Social Credit System: Diversity, Flexibility, and ComprehensivenessSeverin Engelmann, Mo Chen, Lorenz Dang, Jens Grossklags. 78-88 [doi]
- Reflexive Design for Fairness and Other Human Values in Formal ModelsBenjamin Fish, Luke Stark. 89-99 [doi]
- On the Validity of Arrest as a Proxy for Offense: Race and the Likelihood of Arrest for Violent CrimesRiccardo Fogliato, Alice Xiang, Zachary Lipton, Daniel Nagin, Alexandra Chouldechova. 100-111 [doi]
- Hard Choices and Hard Limits in Artificial IntelligenceBryce Goodman. 112-121 [doi]
- Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like BiasesWei Guo, Aylin Caliskan. 122-133 [doi]
- Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible DevelopmentAspen Hopkins, Serena Booth. 134-145 [doi]
- Fairness and Data Protection Impact AssessmentsAtoosa Kasirzadeh, Damian Clifford. 146-153 [doi]
- Towards Unbiased and Accurate Deferral to Multiple ExpertsVijay Keswani, Matthew Lease, Krishnaram Kenthapadi. 154-165 [doi]
- Algorithmic Hiring in Practice: Recruiter and HR Professional's Perspectives on AI Use in HiringLan Li, Tina Lassiter, JooHee Oh, Min Kyung Lee. 166-176 [doi]
- Scaling Guarantees for Nearest Counterfactual ExplanationsKiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, Isabel Valera. 177-187 [doi]
- Ethically Compliant Planning within Moral CommunitiesSamer B. Nashed, Justin Svegliato, Shlomo Zilberstein. 188-198 [doi]
- Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual InstabilityPegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari, Suresh Venkatasubramanian. 199-208 [doi]
- Moral Disagreement and Artificial IntelligencePamela Robinson. 209 [doi]
- FairOD: Fairness-aware Outlier DetectionShubhranshu Shekhar, Neil Shah, Leman Akoglu. 210-220 [doi]
- Surveilling Surveillance: Estimating the Prevalence of Surveillance Cameras with Street View DataHao Sheng, Keniel Yao, Sharad Goel. 221-230 [doi]
- On the Privacy Risks of Model ExplanationsReza Shokri, Martin Strobel, Yair Zick. 231-241 [doi]
- Measuring Automated Influence: Between Empirical Evidence and Ethical ValuesDaniel Susser, Vincent Grimaldi. 242-253 [doi]
- Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer CommunitiesNenad Tomasev, Kevin R. McKee, Jackie Kay, Shakir Mohamed. 254-265 [doi]
- Alienation in the AI-Driven WorkplaceKate Vredenburgh. 266 [doi]
- To Scale: The Universalist and Imperialist Narrative of Big TechJessica de Jesus de Pinho Pinhal. 267-268 [doi]
- Trustworthy AI for the People?Clàudia Figueras, Harko Verhagen, Teresa Cerratto Pargman. 269-270 [doi]
- Causality in Neural Networks - An Extended AbstractAbbavaram Gowtham Reddy. 271-272 [doi]
- Examining Religion Bias in AI Text GeneratorsDeepa Muralidhar. 273-274 [doi]
- Training for Implicit Norms in Deep Reinforcement Learning Agents through Adversarial Multi-Objective Reward OptimizationMarkus Peschl. 275-276 [doi]
- The Coloniality of Data Work in Latin AmericaJulian Posada. 277-278 [doi]
- Designing Effective and Accessible Consumer Protections against Unfair Treatment in Markets where Automated Decision Making is used to Determine Access to Essential Services: A Case Study in Australia's Housing MarketLinda Przhedetsky. 279-280 [doi]
- The Grey Hoodie Project: Big Tobacco, Big Tech, and the Threat on Academic IntegrityMohamed Abdalla, Moustafa Abdalla. 287-297 [doi]
- Persistent Anti-Muslim Bias in Large Language ModelsAbubakar Abid, Maheen Farooqi, James Zou 0001. 298-306 [doi]
- Are AI Ethics Conferences Different and More Diverse Compared to Traditional Computer Science Conferences?Daniel E. Acuña, Lizhen Liang. 307-315 [doi]
- Ethical Implementation of Artificial Intelligence to Select Embryos in In Vitro FertilizationMichael Anis Mihdi Afnan, Cynthia Rudin, Vincent Conitzer, Julian Savulescu, Abhishek Mishra, Yanhe Liu, Masoud Afnan. 316-326 [doi]
- Measuring Model Biases in the Absence of Ground TruthOsman Aka, Ken Burke, Alex Bäuerle, Christina Greer, Margaret Mitchell. 327-335 [doi]
- Accounting for Model Uncertainty in Algorithmic DiscriminationJunaid Ali 0001, Preethi Lahoti, Krishna P. Gummadi. 336-345 [doi]
- Beyond Reasonable Doubt: Improving Fairness in Budget-Constrained Decision Making using Confidence ThresholdsMichiel A. Bakker, Duy Patrick Tu, Krishna P. Gummadi, Alex 'Sandy' Pentland, Kush R. Varshney, Adrian Weller. 346-356 [doi]
- Person, Human, Neither: The Dehumanization Potential of Automated Image TaggingPinar Barlas, Kyriakos Kyriakou, Styliani Kleanthous, Jahna Otterbacher. 357-367 [doi]
- Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and TradeoffsSolon Barocas, Anhong Guo, Ece Kamar, Jacquelyn Krones, Meredith Ringel Morris, Jennifer Wortman Vaughan, W. Duncan Wadsworth, Hanna M. Wallach. 368-378 [doi]
- Automating Procedurally Fair Feature Selection in Machine LearningClara Belitz, Lan Jiang, Nigel Bosch. 379-389 [doi]
- Explainable AI and Adoption of Financial Algorithmic Advisors: An Experimental StudyDaniel Ben David, Yehezkel S. Resheff, Talia Tron. 390-400 [doi]
- Uncertainty as a Form of Transparency: Measuring, Communicating, and Using UncertaintyUmang Bhatt, Javier Antorán, Yunfeng Zhang, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melançon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Madhulika Srikumar, Adrian Weller, Alice Xiang. 401-413 [doi]
- Ensuring Fairness under Prior Probability ShiftsArpita Biswas, Suvam Mukherjee. 414-424 [doi]
- Envisioning Communities: A Participatory Approach Towards AI for Social GoodElizabeth Bondi, Lily Xu, Diana Acosta-Navas, Jackson A. Killian. 425-436 [doi]
- AI Alignment and Human RewardPatrick Butlin. 437-445 [doi]
- Fairness and Machine FairnessClinton Castro, David O'Brien, Ben Schwan. 446 [doi]
- Reconfiguring Diversity and Inclusion for AI EthicsNicole Chi, Emma Lurie, Deirdre K. Mulligan. 447-457 [doi]
- Algorithmic Audit of Italian Car Insurance: Evidence of Unfairness in Access and PricingAlessandro Fabris, Alan Mishler, Stefano Gottardi, Mattia Carletti, Matteo Daicampi, Gian Antonio Susto, Gianmaria Silvello. 458-468 [doi]
- Modeling and Guiding the Creation of Ethical Human-AI TeamsChristopher Flathmann, Beau G. Schelble, Rui Zhang, Nathan J. McNeese. 469-479 [doi]
- What's Fair about Individual Fairness?Will Fleisher. 480-490 [doi]
- Learning to Generate Fair Clusters from DemonstrationsSainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein. 491-501 [doi]
- Ethical Obligations to Provide NoveltyPaige Golden, David Danks. 502-508 [doi]
- Computing Plans that Signal Normative ComplianceAlban Grastien, Claire Benn, Sylvie Thiébaux. 509-518 [doi]
- An AI Ethics Course Highlighting Explicit Ethical AgentsNancy Green. 519-524 [doi]
- The Dangers of Drowsiness Detection: Differential Performance, Downstream Impact, and MisusesJakub Grzelak, Martim Brandao. 525-531 [doi]
- Designing Shapelets for Interpretable Data-Agnostic ClassificationRiccardo Guidotti, Anna Monreale. 532-542 [doi]
- Computer Vision and Conflicting Values: Describing People with Automated Alt TextMargot Hanley, Solon Barocas, Karen Levy, Shiri Azenkot, Helen Nissenbaum. 543-554 [doi]
- Who Gets What, According to Whom? An Analysis of Fairness Perceptions in Service AllocationJacqueline Hannan, Huei-Yen Winnie Chen, Kenneth Joseph. 555-565 [doi]
- The Earth Is Flat and the Sun Is Not a Star: The Susceptibility of GPT-2 to Universal Adversarial TriggersHunter Scott Heidenreich, Jake Ryland Williams. 566-573 [doi]
- Situated Accountability: Ethical Principles, Certification Standards, and Explanation Methods in Applied AIAnne Henriksen, Simon Enni, Anja Bechmann. 574-585 [doi]
- Can We Obtain Fairness For Free?Rashidul Islam, Shimei Pan, James R. Foulds. 586-596 [doi]
- Monitoring AI Services for MisuseSeyyed Ahmad Javadi, Chris Norval, Richard Cloete, Jatinder Singh. 597-607 [doi]
- Towards Equity and Algorithmic Fairness in Student Grade PredictionWeijie Jiang, Zachary A. Pardos. 608-617 [doi]
- The Ethical Gravity Thesis: Marrian Levels and the Persistence of Bias in Automated Decision-making SystemsAtoosa Kasirzadeh, Colin Klein. 618-626 [doi]
- Exciting, Useful, Worrying, Futuristic: Public Perception of Artificial Intelligence in 8 CountriesPatrick Gage Kelley, Yongwei Yang, Courtney Heldreth, Christopher Moessner, Aaron Sedley, Andreas Kramm, David T. Newman, Allison Woodruff. 627-637 [doi]
- Age Bias in Emotion Detection: An Analysis of Facial Emotion Recognition Performance on Young, Middle-Aged, and Older AdultsEugenia Kim, De'Aira Bryant, Deepak Srikanth, Ayanna M. Howard. 638-644 [doi]
- AI and Shared ProsperityKatya Klinova, Anton Korinek. 645-651 [doi]
- Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same EndRamaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma. 652-663 [doi]
- Becoming Good at AI for GoodMeghana Kshirsagar 0001, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres. 664-673 [doi]
- Measuring Group Advantage: A Comparative Study of Fair Ranking MetricsCaitlin Kuhlman, Walter Gerych, Elke A. Rundensteiner. 674-682 [doi]
- A Framework for Understanding AI-Induced Field Change: How AI Technologies are Legitimized and InstitutionalizedBenjamin Cedric Larsen. 683-694 [doi]
- Ethical Data Curation for AI: An Approach based on Feminist Epistemology and Critical Theories of RaceSusan Leavy, Eugenia Siapera, Barry O'Sullivan. 695-703 [doi]
- Risk Identification Questionnaire for Detecting Unintended Bias in the Machine Learning Development LifecycleMichelle Seng Ah Lee, Jatinder Singh. 704-714 [doi]
- Participatory Algorithmic Management: Elicitation Methods for Worker Well-Being ModelsMin Kyung Lee, Ishan Nigam, Angie Zhang, Joel Afriyie, Zhizhen Qin, Sicun Gao. 715-726 [doi]
- Feeding the Beast: Superintelligence, Corporate Capitalism and the End of HumanityDominic Leggett. 727-735 [doi]
- The Deepfake Detection Dilemma: A Multistakeholder Exploration of Adversarial Dynamics in Synthetic MediaClaire R. Leibowicz, Sean McGregor, Aviv Ovadya. 736-744 [doi]
- RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of OpportunityDavid Liu, Zohair Shafi, William Fleisher, Tina Eliassi-Rad, Scott Alfeld. 745-755 [doi]
- Fair Equality of Chances for Prediction-based DecisionsMichele Loi, Anders Herlitz, Hoda Heidari. 756 [doi]
- Towards Accountability in the Use of Artificial Intelligence for Public AdministrationsMichele Loi, Matthias Spielkamp. 757-766 [doi]
- How Do the Score Distributions of Subpopulations Influence Fairness Notions?Carmen Mazijn, Jan Danckaert, Vincent Ginis. 767-776 [doi]
- More Similar Values, More Trust? - the Effect of Value Similarity on Trust in Human-Agent InteractionSiddharth Mehrotra, Catholijn M. Jonker, Myrthe L. Tielman. 777-783 [doi]
- Causal Multi-level FairnessVishwali Mhasawade, Rumi Chunara. 784-794 [doi]
- Unpacking the Expressed Consequences of AI Research in Broader Impact StatementsPriyanka Nanayakkara, Jessica Hullman, Nicholas Diakopoulos. 795-806 [doi]
- Measuring Lay Reactions to Personal Data MarketsAileen Nielsen. 807-813 [doi]
- Epistemic Reasoning for Machine Ethics with Situation CalculusMaurice Pagnucco, David Rajaratnam, Raynaldio Limarga, Abhaya Nayak, Yang Song. 814-821 [doi]
- Disparate Impact of Artificial Intelligence Bias in Ridehailing Economy's Price Discrimination AlgorithmsAkshat Pandey, Aylin Caliskan. 822-833 [doi]
- Understanding the Representation and Representativeness of Age in AI Data SetsJoon-Sung Park, Michael S. Bernstein, Robin N. Brewer, Ece Kamar, Meredith Ringel Morris. 834-842 [doi]
- Quantum Fair Machine LearningElija Perrier. 843-853 [doi]
- Fair Bayesian OptimizationValerio Perrone, Michele Donini, Muhammad Bilal Zafar, Robin Schmucker, Krishnaram Kenthapadi, Cédric Archambeau. 854-863 [doi]
- We Haven't Gone Paperless Yet: Why the Printing Press Can Help Us Understand Data and AIJulian Posada, Nicholas Weller, Wendy H. Wong. 864-872 [doi]
- Measuring Model Fairness under Noisy Covariates: A Theoretical PerspectiveFlavien Prost, Pranjal Awasthi, Nick Blumm, Aditee Kumthekar, Trevor Potter, Li Wei, Xuezhi Wang 0002, Ed H. Chi, Jilin Chen, Alex Beutel. 873-883 [doi]
- GAEA: Graph Augmentation for Equitable Access via Reinforcement LearningGovardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong. 884-894 [doi]
- Face Mis-ID: An Interactive Pedagogical Tool Demonstrating Disparate Accuracy Rates in Facial RecognitionDaniella Raz, Corinne Bintz, Vivian Guetler, Aaron Tam, Michael A. Katell, Dharma Dailey, Bernease Herman, P. M. Krafft, Meg Young. 895-904 [doi]
- The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social RelationsLaura Schelenz, Ivano Bison, Matteo Busso, Amalia de Götzen, Daniel Gatica-Perez, Fausto Giunchiglia, Lakmal Meegahapola, Salvador Ruiz-Correa. 905-915 [doi]
- A Step Toward More Inclusive People Annotations for FairnessCandice Schumann, Susanna Ricco, Utsav Prabhu, Vittorio Ferrari, Caroline Pantofaru. 916-925 [doi]
- Fairness in the Eyes of the Data: Certifying Machine-Learning ModelsShahar Segal, Yossi Adi, Benny Pinkas, Carsten Baum, Chaya Ganesh, Joseph Keshet. 926-935 [doi]
- Rawlsian Fair Adaptation of Deep Learning ClassifiersKulin Shah, Pooja Gupta, Amit Deshpande, Chiranjib Bhattacharyya. 936-945 [doi]
- FaiR-N: Fair and Robust Neural Networks for Structured DataShubham Sharma 0002, Alan H. Gee, David Paydarfar, Joydeep Ghosh. 946-955 [doi]
- Machine Learning and the Meaning of Equal TreatmentJoshua Simons, Sophia Adams Bhatti, Adrian Weller. 956-966 [doi]
- Digital Voodoo DollsMarija Slavkovik, Clemens Stachl, Caroline Pitman, Jonathan Askonas. 967-977 [doi]
- Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental MarketDavid Solans, Francesco Fabbri, Caterina Calsamiglia, Carlos Castillo 0001, Francesco Bonchi. 978-988 [doi]
- Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online HiringTom Sühr, Sophie Hilgard, Himabindu Lakkaraju. 989-999 [doi]
- Differentially Private Normalizing Flows for Privacy-Preserving Density EstimationChris Waites, Rachel Cummings. 1000-1009 [doi]
- Governing Algorithmic Systems with Impact Assessments: Six ObservationsElizabeth Anne Watkins, Emanuel Moss, Jacob Metcalf, Ranjit Singh, Madeleine Clare Elish. 1010-1022 [doi]
- A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome FairnessMohammad Yaghini, Andreas Krause 0001, Hoda Heidari. 1023-1033 [doi]
- Who's Responsible? Jointly Quantifying the Contribution of the Learning Algorithm and DataGal Yona, Amirata Ghorbani, James Zou 0001. 1034-1041 [doi]
- RelEx: A Model-Agnostic Relational Model ExplainerYue Zhang, David DeFazio, Arti Ramesh. 1042-1049 [doi]
- Skilled and Mobile: Survey Evidence of AI Researchers' Immigration PreferencesRemco Zwetsloot, Baobao Zhang, Noemi Dreksler, Lauren Kahn, Markus Anderljung, Allan Dafoe, Michael C. Horowitz. 1050-1059 [doi]