Poster sessions

Quarterdeck Room (3rd section), Riverside Complex,

Hilton New Orleans Riverside

Poster boards are 30″ x 40″ (vertical) foamcore, mounted on easels. AAAI will provide push pins for authors to mount their posters.

There will be 4 poster sessions, with 20 posters each:

Poster session 1: morning of Feb.2nd

  • 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

  • Upol Ehsan, Brent Harrison, Larry Chan and Mark Riedl. Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations

  • 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

Poster session 2 (student posters): afternoon of Feb.2nd

  • Stefano Tedeschi. Accountable Agents and Where to Find Them

  • Eva Thelisson. Toward a computational sustainability for AI/ML to foster Responsibility

  • Ilse Verdiesen. The Design of Human Oversight in Autonomous Weapons

  • Jin Xu. Overtrust of Robots in High-Risk Scenarios

  • Barton Lee. A win for society! Conquering barriers to fair elections

  • Martin Strobel. An axiomatic approach to explain Computer generated decisions 

  • Priel Levy. Optimal Contest Design for Multi-Agent Systems

  • Gong Chen. Nurturing the Companion ChatBot

  • Daniel Kasenberg. Learning and obeying conflicting norms in stochastic domains

  • Marc Serramia. Ethics in norm decision making

  • Joseph Blass. Legal, Ethical, Customizable Artificial Intelligence

  • Rediet Abebe. Computational Perspectives on Social Good and Access to Opportunity

  • Gagan Bansal. Explanatory Dialogs: Towards Actionable, Interactive Explanations

  • Shiva Kaul. Speed and accuracy are not enough! Trustworthy machine learning

  • Bobbie Eicher. Giving AI a Theory of Mind

  • Fulton Wang. Fulton Wang’s Application to the AIES Student Program

  • Cassandra Carley. Balancing Privacy and Utility with Pattern Based Activity Detection

  • Colin Garvey. AI Risk Mitigation through Democratic Governance

  • Sarah Tan. Interpretable Approaches to Detect Bias in Black-Box Models

  • Lily Hu. Justice Beyond Utility in Artificial Intelligence

Poster session 3: morning of Feb.3nd

  • Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Fabricio Benevenuto, Krishna P. Gummadi and Adrian Weller. Purple Feed: Identifying High Consensus News Posts on Social Media

  • 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

  • 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, Hemant Purohit, Rajat Handa, 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

  • Biplav Srivastava and Francesca Rossi. Towards Composable Bias Rating of AI Systems

Poster session 4: afternoon of Feb.3nd

  • 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


  • Wendell Wallach and Gary Marchant. An Agile Ethical/Legal Model for the International and National Governance of AI and Robotics

  • 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