| 2019 | "Scary Robots": Examining Public Responses to AI. Stephen Cave, Kate Coughlan, Kanta Dihal |
| 2019 | (When) Can AI Bots Lie? Tathagata Chakraborti, Subbarao Kambhampati |
| 2019 | A Comparative Analysis of Emotion-Detecting AI Systems with Respect to Algorithm Performance and Dataset Diversity. De'Aira G. Bryant, Ayanna M. Howard |
| 2019 | A Formal Approach to Explainability. Lior Wolf, Tomer Galanti, Tamir Hazan |
| 2019 | A Framework for Benchmarking Discrimination-Aware Models in Machine Learning. Rodrigo L. Cardoso, Wagner Meira Jr., Virgílio A. F. Almeida, Mohammed J. Zaki |
| 2019 | A Framework for Technically- and Morally-Sound AI. Duncan C. McElfresh |
| 2019 | AI + Art = Human. Antonio Daniele, Yi-Zhe Song |
| 2019 | AI Extenders: The Ethical and Societal Implications of Humans Cognitively Extended by AI. José Hernández-Orallo, Karina Vold |
| 2019 | AIES 2019 Student Submission. Elija Perrier |
| 2019 | Actionable Auditing: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products. Inioluwa Deborah Raji, Joy Buolamwini |
| 2019 | Active Fairness in Algorithmic Decision Making. Alejandro Noriega-Campero, Michiel A. Bakker, Bernardo García-Bulle, Alex 'Sandy' Pentland |
| 2019 | Algorithmic Greenlining: An Approach to Increase Diversity. Christian Borgs, Jennifer T. Chayes, Nika Haghtalab, Adam Tauman Kalai, Ellen Vitercik |
| 2019 | Algorithmic Stereotypes: Implications for Fairness of Generalizing from Past Data. Daniel McNamara |
| 2019 | Artificial Intelligence's Impact on Mental Health Treatments. Michelle C. Ausman |
| 2019 | Balancing the Benefits of Autonomous Vehicles. Timothy Geary, David Danks |
| 2019 | Building Jiminy Cricket: An Architecture for Moral Agreements Among Stakeholders. Beishui Liao, Marija Slavkovik, Leendert W. N. van der Torre |
| 2019 | Compensation at the Crossroads: Autonomous Vehicles and Alternative Victim Compensation Schemes. Tracy Hresko Pearl |
| 2019 | Costs and Benefits of Fair Representation Learning. Daniel McNamara, Cheng Soon Ong, Robert C. Williamson |
| 2019 | Counterfactual Fairness in Text Classification through Robustness. Sahaj Garg, Vincent Perot, Nicole Limtiaco, Ankur Taly, Ed H. Chi, Alex Beutel |
| 2019 | Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk. Stephen Pfohl, Ben J. Marafino, Adrien Coulet, Fátima Rodriguez, Latha Palaniappan, Nigam H. Shah |
| 2019 | Crowdsourcing with Fairness, Diversity and Budget Constraints. Naman Goel, Boi Faltings |
| 2019 | Degenerate Feedback Loops in Recommender Systems. Ray Jiang, Silvia Chiappa, Tor Lattimore, András György, Pushmeet Kohli |
| 2019 | Enabling Effective Transparency: Towards User-Centric Intelligent Systems. Aaron Springer |
| 2019 | Epistemic Therapy for Bias in Automated Decision-Making. Thomas Krendl Gilbert, Yonatan Mintz |
| 2019 | Equalized Odds Implies Partially Equalized Outcomes Under Realistic Assumptions. Daniel McNamara |
| 2019 | Ethically Aligned Opportunistic Scheduling for Productive Laziness. Han Yu, Chunyan Miao, Yongqing Zheng, Lizhen Cui, Simon Fauvel, Cyril Leung |
| 2019 | Explanatory Interactive Machine Learning. Stefano Teso, Kristian Kersting |
| 2019 | Fair Transfer Learning with Missing Protected Attributes. Amanda Coston, Karthikeyan Natesan Ramamurthy, Dennis Wei, Kush R. Varshney, Skyler Speakman, Zairah Mustahsan, Supriyo Chakraborty |
| 2019 | Fairness Criteria for Face Recognition Applications. Filip Michalsky |
| 2019 | Fairness, Accountability and Transparency in Artificial Intelligence: A Case Study of Logical Predictive Models. Kacper Sokol |
| 2019 | Faithful and Customizable Explanations of Black Box Models. Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Jure Leskovec |
| 2019 | Framing Artificial Intelligence in American Newspapers. Ching-Hua Chuan, Wan-Hsiu Sunny Tsai, Su Yeon Cho |
| 2019 | Generating Appropriate Responses to Inappropriate Robot Commands. Ryan Blake Jackson |
| 2019 | Global Explanations of Neural Networks: Mapping the Landscape of Predictions. Mark Ibrahim, Melissa Louie, Ceena Modarres, John W. Paisley |
| 2019 | Guiding Prosecutorial Decisions with an Interpretable Statistical Model. Zhiyuan Lin, Alex Chohlas-Wood, Sharad Goel |
| 2019 | How Do Fairness Definitions Fare?: Examining Public Attitudes Towards Algorithmic Definitions of Fairness. Nripsuta Ani Saxena, Karen Huang, Evan DeFilippis, Goran Radanovic, David C. Parkes, Yang Liu |
| 2019 | How Technological Advances Can Reveal Rights. Jack Parker, David Danks |
| 2019 | How We Talk About AI (and Why It Matters). Ryan Calo |
| 2019 | Human Trust Measurement Using an Immersive Virtual Reality Autonomous Vehicle Simulator. Shervin Shahrdar, Corey Park, Mehrdad Nojoumian |
| 2019 | Human-AI Learning Performance in Multi-Armed Bandits. Ravi Pandya, Sandy H. Huang, Dylan Hadfield-Menell, Anca D. Dragan |
| 2019 | IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules. Bishwamittra Ghosh, Kuldeep S. Meel |
| 2019 | Incomplete Contracting and AI Alignment. Dylan Hadfield-Menell, Gillian K. Hadfield |
| 2019 | Inferring Work Task Automatability from AI Expert Evidence. Paul Duckworth, Logan Graham, Michael A. Osborne |
| 2019 | Invisible Influence: Artificial Intelligence and the Ethics of Adaptive Choice Architectures. Daniel Susser |
| 2019 | Killer Robots and Human Dignity. Daniel Lim |
| 2019 | Learning Context-Sensitive Norms under Uncertainty. Vasanth Sarathy |
| 2019 | Learning Existing Social Conventions via Observationally Augmented Self-Play. Adam Lerer, Alexander Peysakhovich |
| 2019 | Legible Normativity for AI Alignment: The Value of Silly Rules. Dylan Hadfield-Menell, McKane Andrus, Gillian K. Hadfield |
| 2019 | Loss-Aversively Fair Classification. Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi |
| 2019 | Machine Learning in Legal Practice: Notes from Recent History. Fernando A. Delgado |
| 2019 | Mapping Informal Settlements in Developing Countries using Machine Learning and Low Resolution Multi-spectral Data. Bradley J. Gram-Hansen, Patrick Helber, Indhu Varatharajan, Faiza Azam, Alejandro Coca-Castro, Veronika Kopacková, Piotr Bilinski |
| 2019 | Mapping Missing Population in Rural India: A Deep Learning Approach with Satellite Imagery. Wenjie Hu, Jay Harshadbhai Patel, Zoe-Alanah Robert, Paul Novosad, Samuel Asher, Zhongyi Tang, Marshall Burke, David B. Lobell, Stefano Ermon |
| 2019 | Modeling Risk and Achieving Algorithmic Fairness Using Potential Outcomes. Alan Mishler |
| 2019 | Modelling and Influencing the AI Bidding War: A Research Agenda. The Anh Han, Luís Moniz Pereira, Tom Lenaerts |
| 2019 | Multiaccuracy: Black-Box Post-Processing for Fairness in Classification. Michael P. Kim, Amirata Ghorbani, James Y. Zou |
| 2019 | On Influencing Individual Behavior for Reducing Transportation Energy Expenditure in a Large Population. Shiwali Mohan, Frances Yan, Victoria Bellotti, Ahmed Elbery, Hesham Rakha, Matthew Klenk |
| 2019 | On Serving Two Masters: Directing Critical Technical Practice towards Human-Compatibility in AI. McKane Andrus |
| 2019 | Paradoxes in Fair Computer-Aided Decision Making. Andrew Morgan, Rafael Pass |
| 2019 | Perceptions of Domestic Robots' Normative Behavior Across Cultures. Huao Li, Stephanie Milani, Vigneshram Krishnamoorthy, Michael Lewis, Katia P. Sycara |
| 2019 | Perceptions of Fairness. Nripsuta Ani Saxena |
| 2019 | Popularity Bias in Ranking and Recommendation. Himan Abdollahpouri |
| 2019 | Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, AIES 2019, Honolulu, HI, USA, January 27-28, 2019 Vincent Conitzer, Gillian K. Hadfield, Shannon Vallor |
| 2019 | Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements. Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Allison Woodruff, Christine Luu, Pierre Kreitmann, Jonathan Bischof, Ed H. Chi |
| 2019 | Regulating Lethal and Harmful Autonomy: Drafting a Protocol VI of the Convention on Certain Conventional Weapons. Sean Welsh |
| 2019 | Reinforcement Learning and Inverse Reinforcement Learning with System 1 and System 2. Alexander Peysakhovich |
| 2019 | Requirements for an Artificial Agent with Norm Competence. Bertram F. Malle, Paul Bello, Matthias Scheutz |
| 2019 | Rightful Machines and Dilemmas. Ava Thomas Wright |
| 2019 | Risk Assessments and Fairness Under Missingness and Confounding. Amanda Coston |
| 2019 | Robots Can Be More Than Black And White: Examining Racial Bias Towards Robots. Arifah Addison, Christoph Bartneck, Kumar Yogeeswaran |
| 2019 | Semantics Derived Automatically from Language Corpora Contain Human-like Moral Choices. Sophie F. Jentzsch, Patrick Schramowski, Constantin A. Rothkopf, Kristian Kersting |
| 2019 | Shared Moral Foundations of Embodied Artificial Intelligence. Joe Cruz |
| 2019 | Speaking on Behalf of: Representation, Delegation, and Authority in Computational Text Analysis. Eric P. S. Baumer, Micki McGee |
| 2019 | Specifying AI Objectives as a Human-AI Collaboration problem. Anca D. Dragan |
| 2019 | TED: Teaching AI to Explain its Decisions. Michael Hind, Dennis Wei, Murray Campbell, Noel C. F. Codella, Amit Dhurandhar, Aleksandra Mojsilovic, Karthikeyan Natesan Ramamurthy, Kush R. Varshney |
| 2019 | Tact in Noncompliance: The Need for Pragmatically Apt Responses to Unethical Commands. Ryan Blake Jackson, Ruchen Wen, Tom Williams |
| 2019 | Taking Advantage of Multitask Learning for Fair Classification. Luca Oneto, Michele Donini, Amon Elders, Massimiliano Pontil |
| 2019 | The Heart of the Matter: Patient Autonomy as a Model for the Wellbeing of Technology Users. Emanuelle Burton, Kristel Clayville, Judy Goldsmith, Nicholas Mattei |
| 2019 | The Right To Confront Your Accusers: Opening the Black Box of Forensic DNA Software. Jeanna N. Matthews, Marzieh Babaeianjelodar, Stephen Lorenz, Abigail Matthews, Mariama Njie, Nathaniel D. Adams, Dan E. Krane, Jessica Goldthwaite, Clinton Hughes |
| 2019 | The Role and Limits of Principles in AI Ethics: Towards a Focus on Tensions. Jess Whittlestone, Rune Nyrup, Anna Alexandrova, Stephen Cave |
| 2019 | The Seductive Allure of Artificial Intelligence-Powered Neurotechnology. Charles M. Giattino, Lydia Kwong, Chad Rafetto, Nita A. Farahany |
| 2019 | The Value of Trustworthy AI. David Danks |
| 2019 | Theories of Parenting and Their Application to Artificial Intelligence. Sky Croeser, Peter Eckersley |
| 2019 | Toward Design and Evaluation Framework for Interpretable Machine Learning Systems. Sina Mohseni |
| 2019 | Toward the Engineering of Virtuous Machines. Naveen Sundar Govindarajulu, Selmer Bringsjord, Rikhiya Ghosh, Vasanth Sarathy |
| 2019 | Towards Emotional Intelligence in Social Robots Designed for Children. De'Aira Bryant |
| 2019 | Towards Empathetic Planning and Plan Recognition. Maayan Shvo |
| 2019 | Towards Formal Models of Blameworthiness. Meir Friedenberg |
| 2019 | Towards a Just Theory of Measurement: A Principled Social Measurement Assurance Program for Machine Learning. McKane Andrus, Thomas K. Gilbert |
| 2019 | TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous Vehicles. Vahid Behzadan, James Minton, Arslan Munir |
| 2019 | Uncovering and Mitigating Algorithmic Bias through Learned Latent Structure. Alexander Amini, Ava P. Soleimany, Wilko Schwarting, Sangeeta N. Bhatia, Daniela Rus |
| 2019 | Using Deceased-Donor Kidneys to Initiate Chains of Living Donor Kidney Paired Donations: Algorithm and Experimentation. Cristina Cornelio, Lucrezia Furian, Antonio Nicolò, Francesca Rossi |
| 2019 | What are the Biases in My Word Embedding? Nathaniel Swinger, Maria De-Arteaga, Neil Thomas Heffernan IV, Mark D. M. Leiserson, Adam Tauman Kalai |