Table of Contents

• How to Put the Data Subject's Sovereignty into Practice. Ethical Considerations and Governance PerspectivesPeter Dabrock. 1-2 [doi]
• The AI-development Connection - A View from the SouthAnita Gurumurthy. 3 [doi]
• Computerize the Race Problem?: Why We Must Plan for a Just AI FutureCharlton D. McIlwain. 4 [doi]
• From Bad Users and Failed Uses to Responsible Technologies: A Call to Expand the AI Ethics ToolkitGina Neff. 5-6 [doi]
• Machines Judging Humans: The Promise and Perils of Formalizing Evaluative CriteriaFrank Pasquale. 7 [doi]
• Exploring AI Futures Through Role PlayShahar Avin, Ross Gruetzemacher, James Fox. 8-14 [doi]
• Activism by the AI Community: Analysing Recent Achievements and Future ProspectsHaydn Belfield. 15-21 [doi]
• Fair Allocation through Selective Information AcquisitionWilliam Cai, Johann Gaebler, Nikhil Garg, Sharad Goel. 22-28 [doi]
• The Problem with Intelligence: Its Value-Laden History and the Future of AIStephen Cave. 29-35 [doi]
• Learning Occupational Task-Shares Dynamics for the Future of WorkSubhro Das, Sebastian Steffen, Wyatt Clarke, Prabhat Reddy, Erik Brynjolfsson, Martin Fleming. 36-42 [doi]
• Social Contracts for Non-Cooperative GamesAlan Davoust, Michael Rovatsos. 43-49 [doi]
• The AI Liability Puzzle and a Fund-Based Work-AroundOlivia Johanna Erdélyi, Gábor Erdélyi. 50-56 [doi]
• Algorithmic Fairness from a Non-ideal PerspectiveSina Fazelpour, Zachary C. Lipton. 57-63 [doi]
• Bayesian Sensitivity Analysis for Offline Policy EvaluationJongbin Jung, Ravi Shroff, Avi Feller, Sharad Goel. 64-70 [doi]
• Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation PracticesGunay Kazimzade, Milagros Miceli. 71 [doi]
• Defining AI in Policy versus PracticeP. M. Krafft, Meg Young, Michael Katell, Karen Huang, Ghislain Bugingo. 72-78 [doi]
• "How do I fool you?": Manipulating User Trust via Misleading Black Box ExplanationsHimabindu Lakkaraju, Osbert Bastani. 79-85 [doi]
• Normative Principles for Evaluating Fairness in Machine LearningDerek Leben. 86-92 [doi]
• Good Explanation for Algorithmic TransparencyJoy Lu, Dokyun (DK) Lee, Tae Wan Kim, David Danks. 93 [doi]
• Does AI Qualify for the Job?: A Bidirectional Model Mapping Labour and AI IntensitiesFernando Martínez-Plumed, Songül Tolan, Annarosa Pesole, José Hernández-Orallo, Enrique Fernández-Macías, Emilia Gómez. 94-100 [doi]
• An Empirical Approach to Capture Moral Uncertainty in AIAndreia Martinho, Maarten Kroesen, Caspar G. Chorus. 101 [doi]
• When Trusted Black Boxes Don't Agree: Incentivizing Iterative Improvement and Accountability in Critical Software SystemsJeanna Neefe Matthews, Graham Northup, Isabella Grasso, Stephen Lorenz, Marzieh Babaeianjelodar, Hunter Bashaw, Sumona Mondal, Abigail Matthews, Mariama Njie, Jessica Goldthwaite. 102-108 [doi]
• When Your Only Tool Is A Hammer: Ethical Limitations of Algorithmic Fairness Solutions in Healthcare Machine LearningMelissa D. McCradden, Mjaye Mazwi, Shalmali Joshi, James A. Anderson. 109 [doi]
• Ethics for AI Writing: The Importance of Rhetorical ContextHeidi A. McKee, James E. Porter. 110-116 [doi]
• Diversity and Inclusion Metrics in Subset SelectionMargaret Mitchell, Dylan Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern. 117-123 [doi]
• Learning Norms from Stories: A Prior for Value Aligned AgentsMd Sultan Al Nahian, Spencer Frazier, Mark Riedl, Brent Harrison. 124-130 [doi]
• Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand HoursVedant Nanda, Pan Xu 0001, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan. 131 [doi]
• Technocultural Pluralism: A "Clash of Civilizations" in Technology?Osonde A. Osoba. 132-137 [doi]
• Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and SocietyCarina Prunkl, Jess Whittlestone. 138-143 [doi]
• Algorithmized but not Atomized? How Digital Platforms Engender New Forms of Worker Solidarity in JakartaRida Qadri. 144 [doi]
• Saving Face: Investigating the Ethical Concerns of Facial Recognition AuditingInioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, Emily Denton. 145-151 [doi]
• Human Comprehension of Fairness in Machine LearningDebjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek, Michael Carl Tschantz. 152 [doi]
• What's Next for AI Ethics, Policy, and Governance? A Global OverviewDaniel Schiff, Justin Biddle, Jason Borenstein, Kelly Laas. 153-158 [doi]
• Trade-offs in Fair RedistrictingZachary Schutzman. 159-165 [doi]
• CERTIFAI: A Common Framework to Provide Explanations and Analyse the Fairness and Robustness of Black-box ModelsShubham Sharma, Jette Henderson, Joydeep Ghosh. 166-172 [doi]
• The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse?Toby Shevlane, Allan Dafoe. 173-179 [doi]
• Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation MethodsDylan Slack, Sophie Hilgard, Emily Jia, Sameer Singh, Himabindu Lakkaraju. 180-186 [doi]
• U.S. Public Opinion on the Governance of Artificial IntelligenceBaobao Zhang, Allan Dafoe. 187-193 [doi]
• Different "Intelligibility" for Different FolksYishan Zhou, David Danks. 194-199 [doi]
• AI and Holistic Review: Informing Human Reading in College AdmissionsA. J. Alvero, Noah Arthurs, Anthony Lising Antonio, Benjamin W. Domingue, Ben Gebre-Medhin, Sonia Giebel, Mitchell L. Stevens. 200-206 [doi]
• Robot Rights?: Let's Talk about Human Welfare InsteadAbeba Birhane, Jelle van Dijk. 207-213 [doi]
• Artificial Artificial Intelligence: Measuring Influence of AI 'Assessments' on Moral Decision-MakingLok Chan, Kenzie Doyle, Duncan C. McElfresh, Vincent Conitzer, John P. Dickerson, Jana Schaich Borg, Walter Sinnott-Armstrong. 214-220 [doi]
• A Just Approach Balancing Rawlsian Leximax Fairness and UtilitarianismViolet (Xinying) Chen, J. N. Hooker. 221-227 [doi]
• Should Artificial Intelligence Governance be Centralised?: Design Lessons from HistoryPeter Cihon, Matthijs M. Maas, Luke Kemp. 228-234 [doi]
• An Invitation to System-wide Algorithmic FairnessEfrén Cruz Cortés, Debashis Ghosh. 235-241 [doi]
• Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical CommitmentsRoel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz. 242 [doi]
• Toward Implementing the Agent-Deed-Consequence Model of Moral Judgment in Autonomous VehiclesVeljko Dubljevic. 243 [doi]
• Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face IdentificationChris Dulhanty, Alexander Wong. 244-250 [doi]
• Proposal for Type Classification for Building Trust in Medical Artificial Intelligence SystemsArisa Ema, Katsue Nagakura, Takanori Fujita. 251-257 [doi]
• Adoption Dynamics and Societal Impact of AI Systems in Complex NetworksPedro M. Fernandes, Francisco C. Santos, Manuel Lopes 0001. 258-264 [doi]
• Auditing Algorithms: On Lessons Learned and the Risks of Data MinimizationGemma Galdon Clavell, Mariano Martín Zamorano, Carlos Castillo, Oliver Smith, Aleksandar Matic. 265-271 [doi]
• More Than "If Time Allows": The Role of Ethics in AI EducationNatalie Garrett, Nathan Beard, Casey Fiesler. 272-278 [doi]
• A Geometric Solution to Fair RepresentationsYuzi He, Keith Burghardt, Kristina Lerman. 279-285 [doi]
• Measuring Fairness in an Unfair WorldJonathan Herington. 286-292 [doi]
• Towards Just, Fair and Interpretable Methods for Judicial Subset SelectionLingxiao Huang, Julia Wei, L. Elisa Celis. 293-299 [doi]
• Monitoring Misuse for Accountable 'Artificial Intelligence as a Service'Seyyed Ahmad Javadi, Richard Cloete, Jennifer Cobbe, Michelle Seng Ah Lee, Jatinder Singh. 300-306 [doi]
• "The Global South is everywhere, but also always somewhere": National Policy Narratives and AI JusticeAmba Kak. 307-312 [doi]
• Ethics of Food Recommender ApplicationsDaniel Karpati, Amro Najjar, Diego Agustín Ambrossio. 313-319 [doi]
• Artificial Intelligence and Indigenous Perspectives: Protecting and Empowering Intelligent Human BeingsSuvradip Maitra. 320-326 [doi]
• The Windfall Clause: Distributing the Benefits of AI for the Common GoodCullen O'Keefe, Peter Cihon, Ben Garfinkel, Carrick Flynn, Jade Leung, Allan Dafoe. 327-331 [doi]
• Steps Towards Value-Aligned SystemsOsonde A. Osoba, Benjamin Boudreaux, Douglas Yeung. 332-336 [doi]
• Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language ProcessingDesmond Upton Patton, William R. Frey, Kyle A. McGregor, Fei-Tzin Lee, Kathleen R. McKeown, Emanuel Moss. 337-342 [doi]
• The Perils of Objectivity: Towards a Normative Framework for Fair Judicial Decision-MakingAndi Peng, Malina Simard-Halm. 343 [doi]
• FACE: Feasible and Actionable Counterfactual ExplanationsRafael Poyiadzi, Kacper Sokol, Raúl Santos-Rodríguez, Tijl De Bie, Peter A. Flach. 344-350 [doi]
• Balancing the Tradeoff Between Clustering Value and InterpretabilitySandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein. 351-357 [doi]
• Data Augmentation for Discrimination Prevention and Bias DisambiguationShubham Sharma, Yunfeng Zhang, Jesús M. Ríos Aliaga, Djallel Bouneffouf 0001, Vinod Muthusamy, Kush R. Varshney. 358-364 [doi]
• Meta Decision Trees for Explainable Recommendation SystemsEyal Shulman, Lior Wolf. 365-371 [doi]
• Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine LearningAndrew Smart, Larry James, Ben Hutchinson, Simone Wu, Shannon Vallor. 372-377 [doi]
• Social and Governance Implications of Improved Data EfficiencyAaron D. Tucker, Markus Anderljung, Allan Dafoe. 378-384 [doi]
• Conservative Agency via Attainable Utility PreservationAlexander Matt Turner, Dylan Hadfield-Menell, Prasad Tadepalli. 385-391 [doi]
• A Deontic Logic for Programming Rightful MachinesAva Thomas Wright. 392 [doi]
• A Fairness-aware Incentive Scheme for Federated LearningHan Yu 0001, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato, Qiang Yang. 393-399 [doi]
• Joint Optimization of AI Fairness and Utility: A Human-Centered ApproachYunfeng Zhang, Rachel K. E. Bellamy, Kush R. Varshney. 400-406 [doi]
• Assessing Post-hoc Explainability of the BKT AlgorithmTongyu Zhou, Haoyu Sheng, Iris Howley. 407-413 [doi]
• Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information PreservationBingquan Zhu, Hao Fang, Yanan Sui, Luming Li. 414-420 [doi]
• Arbiter: A Domain-Specific Language for Ethical Machine LearningJulian Zucker, Myraeka d'Leeuwen. 421-425 [doi]