Accepted papers

ACCEPTED PAPERS (oral presentation)

Yishan Zhou and David Danks Different “Intelligibility” for Different Folks
Stephen Cave The Problem with Intelligence: Its Value-Laden History and the Future of AI
Melissa McCradden, Shalmali Joshi, James Anderson and Mjaye Mazwi When your only tool is a hammer: ethical limitations of computational fairness solutions in healthcare machine learning
P. M. Krafft, Meg Young, Michael Katell, Karen Huang and Ghislain Bugingo Policy versus Practice: Conceptions of Artificial Intelligence
Shubham Sharma, Jette Henderson and Joydeep Ghosh CERTIFAI: A common framework to provide explanations and analyse the fairness and robustness of black-box models
Sina Fazelpour and Zachary Lipton Algorithmic Fairness from a Non-ideal Perspective
Daniel Schiff, Justin Biddle, Jason Borenstein and Kelly Laas What’s Next for AI Ethics, Policy, and Governance? A Global Overview
Heidi McKee and James Porter Ethics for AI Writing: The Importance of Rhetorical Context
Haydn Belfield Activism by the AI Community: Analysing Recent Achievements and Future Prospects
Inioluwa Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee and Emily Denton Saving Face: Towards an Ethically-Informed Approach to Facial Recognition Auditing
Spencer Frazier, Md Sultan Al Nahian, Brent Harrison and Mark Riedl Learning Norms from Stories: A Prior for Value Aligned Agents
Baobao Zhang and Allan Dafoe U.S. Public Opinion on the Governance of Artificial Intelligence
Dylan Slack, Sophie Hilgard, Emily Jia, Sameer Singh and Himabindu Lakkaraju Nothing to See Here: Hiding Model Biases by Fooling Post hoc Explanation Methods
Osonde Osoba Technocultural Pluralism: A “Clash of Civilizations” in Technology?
Zachary Schutzman Trade-offs in Fair Redistricting
Carina Prunkl and Jess Whittlestone Beyond near and long-term: towards a clearer account of research priorities in AI ethics and society
Andreia Martinho, Maarten Kroesen and Caspar Chorus An Empirical Approach to Capture Moral Uncertainty in Ethical AI
Gabor Erdelyi and Olivia Johanna Erdelyi The AI Liability Puzzle and a Fund-Based Work-Around
Jeanna Matthews, Graham Northup, Stephen Lorenz, Izzi Grasso, Marzieh Babaeianjelodar, Hunter Bashaw, Sumona Mondal, Abigail Matthews, Mariama Njie and Jessica Goldthwaite Incentivizing Debugging and Accountability In Critical Black-Box Software Systems
Gunay Kazimzade and Milagros Miceli Biased Priorities, Biased Outcomes: Three Recommendations for Ethics-oriented Data Annotation Practices
Rida Qadri Algorithmized but not Atomized? How Digital Platforms Engender New Forms of Worker Solidarity in Jakarta
Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John Dickerson and Aravind Srinivasan Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms during High-Demand Hours
Subhro Das, Sebastian Steffen, Wyatt Clarke, Prabhat Reddy, Erik Brynjolfsson and Martin Fleming Learning Occupational Task-Shares Dynamics for the Future of Work
Alan Davoust and Michael Rovatsos Social Contracts for Non-Cooperative Games
Fernando Martínez-Plumed, Jose Hernandez-Orallo, Annarosa Pesole, Enrique Fernández-Macías, Emilia Gómez and Songül Tolan Does AI Qualify for the Job? A Bidirectional Model Mapping Labour and AI Intensities
Derek Leben Normative Principles for Evaluating Fairness in Machine Learning
Toby Shevlane and Allan Dafoe The Offense-Defense Balance of Scientific Knowledge: Does Publishing AI Research Reduce Misuse
Shahar Avin, Ross Gruetzemacher and James Fox Exploring AI Futures Through Role Play
Debjani Saha, Candice Schumann, Duncan C. McElfresh, John P. Dickerson, Michelle L. Mazurek and Michael Carl Tschantz Human Comprehension of Fairness in Machine Learning
Joy Lu, Dokyun Lee, Tae Wan Kim and David Danks Good Explanation for Algorithmic Transparency
Jongbin Jung, Ravi Shroff, Avi Feller and Sharad Goel Bayesian Sensitivity Analysis for Offline Policy Evaluation
William Cai, Johann Gaebler, Nikhil Garg and Sharad Goel Fair Allocation through Selective Information Acquisition
Margaret Mitchell, Emily Denton, Nyalleng Moorosi, Ben Hutchinson, Alex Hanna, Jamie Morgenstern, Dylan Baker and Timnit Gebru Diversity and Inclusion Metrics in Subset Selection
Himabindu Lakkaraju and Osbert Bastani “How do I fool you?”: Manipulating User Trust via Misleading Black Box Explanations

ACCEPTED PAPERS (poster)

Han Yu, Zelei Liu, Yang Liu, Tianjian Chen, Mingshu Cong, Xi Weng, Dusit Niyato and Qiang Yang. A Fairness-aware Incentive Scheme for Federated Learning
Desmond Patton, William Frey, Kyle McGregor, Fei-Tzin Lee, Kathy McKeown and Emanuel Moss. Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing
Cullen O’Keefe, Peter Cihon, Carrick Flynn, Ben Garfinkel, Jade Leung and Allan Dafoe. The Windfall Clause: Distributing the Benefits of AI for the Common Good
Sandhya Saisubramanian, Sainyam Galhotra and Shlomo Zilberstein. Balancing the Tradeoff Between Clustering Value and Interpretability
Violet Chen and John Hooker. A Just Approach Balancing Rawlsian Leximax Fairness and Utilitarianism
Suvradip Maitra. Artificial Intelligent and Indigenous Perspectives: Protecting and Empowering Intelligent Human Beings
Arisa Ema, Katsue Nagakura and Takanori Fujita. Proposal for Type Classification for Building Trust in Medical Artificial Intelligence Systems
Pedro M. Fernandes, Francisco C. Santos and Manuel Lopes. Adoption Dynamics and Societal Impact of AI Systems in Complex Networks
Lingxiao Huang, Julia Wei and L. Elisa Celis. Towards Just, Fair and Interpretable Methods for Judicial Subset Selection
Bingquan Zhu, Hao Fang, Yanan Sui and Luming Li. Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation
Rafael Poyiadzi, Kacper Sokol, Raul Santos-Rodriguez, Tijl De Bie and Peter Flach. FACE: Feasible and Actionable Counterfactual Explanations
Alexander Turner, Dylan Hadfield-Menell and Prasad Tadepalli. Conservative Agency via Attainable Utility Preservation
Gemma Galdon Clavell, Mariano Martín Zamorano, Carlos Castillo, Oliver Smith and Aleksandar Matic. Auditing Algorithms: On Lessons Learned and the Risks of Data Minimization
Veljko Dubljevic. Toward Implementing the ADC Model of Moral Judgment in Autonomous Vehicles
Jonathan Herington. Measuring Fairness in an Unfair World
Abeba Birhane and Jelle van Dijk. Robot Rights? Let’s talk about human welfare instead
Tongyu Zhou, Haoyu Sheng and Iris Howley. Assessing Post-hoc Explainability of the BKT Algorithm
Peter Cihon, Matthijs Maas and Luke Kemp. Should Artificial Intelligence Governance be Centralised? Design Lessons from History
Julian Zucker and Myraeka d’Leeuwen. Arbiter: A Domain-Specific Language for Ethical Machine Learning
Amba Kak. “The Global South is everywhere but also always somewhere” : National policy narratives and AI justice
Efrén Cruz Cortés and Debashis Ghosh. An invitation to system-wide algorithmic fairness
Roel Dobbe, Thomas Gilbert and Yonatan Mintz. Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments
Yunfeng Zhang, Rachel Bellamy and Kush Varshney. Joint Optimization of AI Fairness and Utility: A Human-Centered Approach
Aaron Tucker, Markus Anderljung and Allan Dafoe. Social and Governance Implications of Improved Data Efficiency
Yuzi He, Keith Burghardt and Kristina Lerman. A Geometric Solution to Fair Representations
Shubham Sharma, Yunfeng Zhang, Jesus Rios, Djallel Bouneffouf, Vinod Muthusamy and Kush Varshney. Data Augmentation for Discrimination Prevention and Bias Disambiguation
Andrew Smart, Larry James, Ben Hutchinson, Simone Wu and Shannon Vallor. Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning
Ava Wright. A Deontic Logic for Programming Rightful Machines
Natalie Garrett, Casey Fiesler and Nathan Beard. More Than “If Time Allows”: The Role of Ethics in AI Education
Andi Peng and Malina Simard-Halm. The Perils of Objectivity: Towards a Normative Framework for Fair Judicial Decision-Making
Lok Chan, Kenzie Doyle, Duncan McElfresh, Vincent Conitzer, John P. Dickerson, Jana Schaich Borg and Walter Sinnott-Armstrong. Artificial Artificial Intelligence: Measuring Influence of AI “Assessments” on Moral Decision-Making
Aj Alvero, Noah Arthurs, Anthony Antonio, Ben Domingue, Ben Gebre-Medhin, Sonia Giebel and Mitchell Stevens. AI and Holistic Review: Informing Human Reading in College Admissions
Osonde Osoba, Benjamin Boudreaux and Douglas Yeung. Steps Towards Value-Aligned Systems
Seyyed Ahmad Javadi, Richard Cloete, Jennifer Cobbe, Michelle Lee and Jatinder Singh. Monitoring Misuse for Accountable ‘Artificial Intelligence as a Service’
Daniel Karpati, Amro Najjar and Agustin Ambrossio. Ethics of Food Recommender Applications
Chris Dulhanty and Alexander Wong. Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification
Eyal Shulman and Lior Wolf. Meta Decision Trees for Explainable Recommendation Systems