Accepted Papers

ACCEPTED PAPERS (oral presentation + poster)

John Li, Lucas Dixon, Nithum Thain, Lucy Vasserman and Jeffrey Sorensen. Measuring and Mitigating Unintended Bias in Text Classification
Daniel Estrada. Value Alignment, Fair Play, and the Rights of Service Robots
Olivia Johanna Erdelyi and Judy Goldsmith. Regulating Artificial Intelligence: Proposal for a Global Solution
Cindy Grimm, Bill Smart and Woodrow Hartzog. Using Education as a Model to Capture Good-Faith Effort for Autonomous Systems
Maite Lopez-Sanchez, Marc Serramia, Juan Antonio Rodriguez-Aguilar, Carlos Ansotegui, Javier Morales and Michael Wooldridge. Exploiting moral values to choose the right norms
Daniel Tobey. Software Malpractice in the Age of AI: A Guide for the Wary Tech Company
Naman Goel, Mohammad Yaghini and Boi Faltings. Non-Discriminatory Machine Learning through Convex Fairness Criteria
Edward Raff, Jared Sylvester and Steven Mills. Fair Forests: Regularized Tree Induction to Minimize Model Bias
Michael Scheessele. A framework for grounding the moral status of intelligent machines
Ross Gruetzemacher. Rethinking AI Strategy and Policy as Entangled Super Wicked Problems
Wendell Wallach and Gary Marchant. An Agile Ethical/Legal Model for the International and National Governance of AI and Robotics
Ryan Carey. Incorrigibility in the CIRL Framework
Max Kramer, Jana Schaich Borg, Vincent Conitzer and Walter Sinnott-Armstrong. When Do People Want AI to Make Decisions?
John Hooker and Tae Wan Kim. Toward Non-Intuition-Based Machine Ethics
Lav Varshney and Deepak Somaya. Embodiment, Anthropomorphism, and Intellectual Property Rights for AI Creations
Sungyong Seo, Hau Chan, P. Jeffrey Brantingham, Jorja Leap, Phebe Vayanos, Milind Tambe and Yan Liu. Partially Generative Neural Networks for Gang Crime Classification with Partial Information
Sarah Tan, Rich Caruana, Giles Hooker and Yin Lou. Detecting Bias in Black-Box Models Using Transparent Model Distillation
Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu and Shou-De Lin. Designing Non-greedy Reinforcement Learning Agents with Diminishing Reward Shaping
Dieter Vanderelst and Alan Winfield. The Dark side of Ethical Robots
Bobbie Eicher, Lalith Polepeddi and Ashok Goel. Jill Watson Doesn’t Care if You’re Pregnant: Grounding AI Ethics in Empirical Studies
Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Fabricio Benevenuto, Krishna P. Gummadi and Adrian Weller. Purple Feed: Identifying High Consensus News Posts on Social Media
Martin Mose Bentzen and Felix Lindner. A Formalization of Kant’s Second Formulation of the Categorical Imperative
Alex John London and David Danks. Regulating Autonomous Vehicles: A Policy Proposal
Mathieu D’Aquin, Pinelopi Troullinou, Noel O’Connor, Aindrias Cullen, Gráinne Faller and Louise Holden. Towards an “Ethics by Design” methodology for AI research projects
Matthijs Maas. Regulating for ‘normal AI accidents’: operational lessons for the responsible governance of AI deployment
Sjur Kristoffer Dyrkolbotn, Truls Pedersen and Marija Slavkovik. On the distinction between implicit and explicit ethical agency
Richard Kim, Max Kleiman-Weiner, Andres Abeliuk, Edmond Awad, Sohan Dsouza, Josh Tenenbaum and Iyad Rahwan. A Computational Model of Commonsense Moral Decision Making
Collin Johnson and Benjamin Kuipers. Socially-Aware Navigation Using Topological Maps and Social Norm Learning
Rahul Iyer, Yuezhang Li, Huao Li, Michael Lewis, Ramitha Sundar and Katia Sycara. Transparency and Explanation in Deep Reinforcement Learning Neural Networks
Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe and Joelle Pineau. Ethical Challenges in Data-Driven Dialogue Systems
Stephen Cave and Sean O Heigeartaigh. An AI Race: Rhetoric and Risks
Andrea Loreggia, Nicholas Mattei, Francesca Rossi and Kristen Brent Venable. Preferences and Ethical Principles in Decision Making

Accepted papers (poster):

Alan Wagner An Autonomous Architecture that Protects the Right to Privacy
Hau Chan, Long Tran-Thanh, Bryan Wilder, Eric Rice, Phebe Vayanos and Milind Tambe Utilizing Housing Resources for Homeless Youth Through the Lens of Multiple Multi-Dimensional Knapsacks
Habib Karbasian, Rajat Handa, Hemant Purohit, Aqdas Malik and Aditya Johri Real-Time Inference of User Types to Assist with more Inclusive and Diverse Social Media Activism Campaigns
Sandeep Konam, Ian Quah, Stephanie Rosenthal and Manuela Veloso Understanding Convolutional Networks with APPLE : Automatic Patch Pattern Labeling for Explanation
Piercosma Bisconti Lucidi and Daniele Nardi Companion Robots: the Hallucinatory Danger of Human-Robot Interactions
Martijn van Otterlo From Algorithmic Black Boxes to Adaptive White Boxes: Declarative Decision-Theoretic Ethical Programs as Codes of Ethics
Jianxin Zhao, Richard Mortier, Jon Crowcroft and Liang Wang Privacy-preserving Machine Learning Based Data Analytics on Edge Devices
Daniel Kasenberg and Matthias Scheutz Inverse norm conflict resolution
Golnoosh Farnadi, Behrouz Babaki and Lise Getoor Fairness in Relational Domains
Amit Chopra and Munindar Singh Sociotechnical Systems and Ethics in the Large
Shiva Kaul Margins and opportunity
Shivaram Kalyanakrishnan, Rahul Panicker, Sarayu Natarajan and Shreya Rao Opportunities and Challenges for Artificial Intelligence in India
Brian Zhang, Blake Lemoine and Margaret Mitchell Mitigating Unwanted Biases with Adversarial Learning
Nicholas Mattei, Abdallah Saffidine and Toby Walsh Fairness in Deceased Organ Matching
Lydia Manikonda, Aditya Deotale and Subbarao Kambhampati What’s up with Privacy? : User Preferences and Privacy Concerns in Intelligent Personal Assistants
Yuanshuo Zhao, Ioana Baldini, Prasanna Sattigeri, Inkit Padhi, Yoong Keok Lee and Ethan Smith Data Driven Platform for Organizing Scientific Articles Relevant to Biomimicry
Nolan P. Shaw, Andreas Stöckel, Ryan W. Orr, Thomas F. Lidbetter and Robin Cohen Towards Provably Moral AI Agents in Bottom-up Learning Frameworks
Matthew Joseph, Michael Kearns, Jamie Morgenstern, Seth Neel and Aaron Roth Meritocratic Fairness for Infinite and Contextual Bandits
Eduardo Ivan Velazquez Richards, Mehrdad Yazdani and Pablo Suárez-Serrato Socialbots supporting human rights
Virginia Dignum, Matteo Baldoni, Cristina Baroglio, Maurizio Caon, Raja Chatila, Louise A. Dennis, Gonzalo Génova, Malte Kliess, Maite Lopez-Sanchez, Roberto Micalizio, Juan Pavon, Marija Slavkovik, Matthijs Smakman, Marlies van Steenbergen, Stefano Tedeschi, Leon van der Torre, Serena Villata and Tristan de Wildt Ethics by Design: Necessity or Curse?
Kyle Hundman, Thamme Gowda, Mayank Kejriwal and Benedikt Boecking Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection
Marisa Vasconcelos, Bernardo Goncalves and Carlos Henrique Cardonha Modeling Epistemological Principles for Bias Mitigation in AI Systems: An Illustration in Hiring Decisions
Emily Larosa and David Danks Impacts on Trust of Healthcare AI
Haris Aziz and Barton Lee Sub-committee Approval Voting and Generalized Justified Representation Axioms
Upol Ehsan, Brent Harrison, Larry Chan and Mark Riedl Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations
Daniel Kasenberg, Thomas Arnold and Matthias Scheutz Norms, Rewards, and the Intentional Stance: Comparing Machine Learning Approaches to Ethical Training
Edvard Pires Bjørgen, Simen Øvervatn Madsen, Therese Skaar Bjørknes, Fredrik Vonheim Heimsæter, Robin Håvik, Morten Linderud, Per-Niklas Longberg, Louise Dennis and Marija Slavkovik Cake, death, and trolleys: dilemmas as benchmarks of ethical decision-making
Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson and Vincent Conitzer Adapting a Kidney Exchange Algorithm to Align with Human Values
Biplav Srivastava and Francesca Rossi Towards Composable Bias Rating of AI Systems