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ORCIDAIES 2018: New Orleans, LA, USA
- Jason Furman, Gary E. Marchant, Huw Price, Francesca Rossi:
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, AIES 2018, New Orleans, LA, USA, February 02-03, 2018. ACM 2018, ISBN 978-1-4503-6012-8
Keynotes & Invited Talks
- Richard Barry Freeman, Jason Furman:
The Great AI/Robot Jobs Scare: Reality or ... Not Reality of Automation Fear Redux. 1 - Patrick Lin:
AI Decisions, Risk, and Ethics: Beyond Value Alignment. 2
Paper Session
- Haris Aziz
, Barton E. Lee:
Sub-committee Approval Voting and Generalized Justified Representation Axioms. 3-9 - Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Fabrício Benevenuto, Krishna P. Gummadi, Adrian Weller:
Purple Feed: Identifying High Consensus News Posts on Social Media. 10-16 - Piercosma Bisconti Lucidi, Daniele Nardi:
Companion Robots: the Hallucinatory Danger of Human-Robot Interactions. 17-22 - Edvard P. Bjørgen, Simen Madsen, Therese S. Bjørknes, Fredrik V. Heimsæter, Robin Håvik, Morten Linderud, Per-Niklas Longberg, Louise A. Dennis, Marija Slavkovik:
Cake, Death, and Trolleys: Dilemmas as benchmarks of ethical decision-making. 23-29 - Ryan Carey:
Incorrigibility in the CIRL Framework. 30-35 - Stephen Cave, Seán S. ÓhÉigeartaigh:
An AI Race for Strategic Advantage: Rhetoric and Risks. 36-40 - Hau Chan, Long Tran-Thanh, Bryan Wilder, Eric Rice, Phebe Vayanos, Milind Tambe:
Utilizing Housing Resources for Homeless Youth Through the Lens of Multiple Multi-Dimensional Knapsacks. 41-47 - Amit K. Chopra, Munindar P. Singh:
Sociotechnical Systems and Ethics in the Large. 48-53 - Mathieu d'Aquin, Pinelopi Troullinou, Noel E. O'Connor, Aindrias Cullen, Gráinne Faller, Louise Holden:
Towards an "Ethics by Design" Methodology for AI Research Projects. 54-59 - Virginia Dignum, Matteo Baldoni, Cristina Baroglio, Maurizio Caon, Raja Chatila, Louise A. Dennis, Gonzalo Génova, Galit Haim, Malte S. Kließ, Maite López-Sánchez, Roberto Micalizio, Juan Pavón, Marija Slavkovik, Matthijs H. J. Smakman, Marlies van Steenbergen, Stefano Tedeschi, Leon van der Torre, Serena Villata, Tristan de Wildt:
Ethics by Design: Necessity or Curse? 60-66 - Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, Lucy Vasserman:
Measuring and Mitigating Unintended Bias in Text Classification. 67-73 - Sjur K. Dyrkolbotn, Truls Pedersen, Marija Slavkovik:
On the Distinction between Implicit and Explicit Ethical Agency. 74-80 - Upol Ehsan, Brent Harrison, Larry Chan, Mark O. Riedl:
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations. 81-87 - Bobbie Lynn Eicher, Lalith Polepeddi, Ashok K. Goel:
Jill Watson Doesn't Care if You're Pregnant: Grounding AI Ethics in Empirical Studies. 88-94 - Olivia Johanna Erdélyi, Judy Goldsmith:
Regulating Artificial Intelligence: Proposal for a Global Solution. 95-101 - Daniel Estrada:
Value Alignment, Fair Play, and the Rights of Service Robots. 102-107 - Golnoosh Farnadi, Behrouz Babaki, Lise Getoor:
Fairness in Relational Domains. 108-114 - Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer:
Adapting a Kidney Exchange Algorithm to Align with Human Values. 115 - Naman Goel, Mohammad Yaghini, Boi Faltings:
Non-Discriminatory Machine Learning through Convex Fairness Criteria. 116 - Cindy M. Grimm, William D. Smart, Woodrow Hartzog:
An Education Model of Reasonable and Good-Faith Effort for Autonomous Systems. 117-121 - Ross Gruetzemacher:
Rethinking AI Strategy and Policy as Entangled Super Wicked Problems. 122 - Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, Joelle Pineau:
Ethical Challenges in Data-Driven Dialogue Systems. 123-129 - John N. Hooker, Tae Wan Kim:
Toward Non-Intuition-Based Machine and Artificial Intelligence Ethics: A Deontological Approach Based on Modal Logic. 130-136 - Kyle Hundman, Thamme Gowda, Mayank Kejriwal, Benedikt Boecking:
Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection. 137-143 - Rahul Iyer, Yuezhang Li, Huao Li, Michael Lewis, Ramitha Sundar, Katia P. Sycara:
Transparency and Explanation in Deep Reinforcement Learning Neural Networks. 144-150 - Collin Johnson, Benjamin Kuipers:
Socially-Aware Navigation Using Topological Maps and Social Norm Learning. 151-157 - Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel, Aaron Roth:
Meritocratic Fairness for Infinite and Contextual Bandits. 158-163 - Shivaram Kalyanakrishnan, Rahul Alex Panicker, Sarayu Natarajan, Shreya Rao:
Opportunities and Challenges for Artificial Intelligence in India. 164-170 - Habib Karbasian, Hemant Purohit, Rajat Handa, Aqdas Malik, Aditya Johri:
Real-Time Inference of User Types to Assist with more Inclusive and Diverse Social Media Activism Campaigns. 171-177 - Daniel Kasenberg, Matthias Scheutz:
Inverse Norm Conflict Resolution. 178-183 - Daniel Kasenberg, Thomas Arnold, Matthias Scheutz:
Norms, Rewards, and the Intentional Stance: Comparing Machine Learning Approaches to Ethical Training. 184-190 - Shiva Kaul:
Margins and Opportunity. 191-196 - Richard Kim, Max Kleiman-Weiner, Andrés Abeliuk, Edmond Awad, Sohan Dsouza, Joshua B. Tenenbaum, Iyad Rahwan:
A Computational Model of Commonsense Moral Decision Making. 197-203 - Max F. Kramer, Jana Schaich Borg, Vincent Conitzer, Walter Sinnott-Armstrong:
When Do People Want AI to Make Decisions? 204-209 - Emily LaRosa, David Danks:
Impacts on Trust of Healthcare AI. 210-215 - Alex John London, David Danks:
Regulating Autonomous Vehicles: A Policy Proposal. 216-221 - Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Kristen Brent Venable:
Preferences and Ethical Principles in Decision Making. 222 - Matthijs M. Maas:
Regulating for 'Normal AI Accidents': Operational Lessons for the Responsible Governance of Artificial Intelligence Deployment. 223-228 - Lydia Manikonda, Aditya Deotale, Subbarao Kambhampati:
What's up with Privacy?: User Preferences and Privacy Concerns in Intelligent Personal Assistants. 229-235 - Nicholas Mattei, Abdallah Saffidine, Toby Walsh:
Fairness in Deceased Organ Matching. 236-242 - Edward Raff, Jared Sylvester, Steven Mills:
Fair Forests: Regularized Tree Induction to Minimize Model Bias. 243-250 - Michael R. Scheessele:
A Framework for Grounding the Moral Status of Intelligent Machines. 251-256 - Sungyong Seo, Hau Chan, P. Jeffrey Brantingham, Jorja Leap, Phebe Vayanos, Milind Tambe, Yan Liu:
Partially Generative Neural Networks for Gang Crime Classification with Partial Information. 257-263 - Marc Serramia, Maite López-Sánchez, Juan A. Rodríguez-Aguilar, Javier Morales, Michael J. Wooldridge, Carlos Ansótegui:
Exploiting Moral Values to Choose the Right Norms. 264-270 - Nolan P. Shaw, Andreas Stöckel, Ryan W. Orr, Thomas Finn Lidbetter, Robin Cohen:
Towards Provably Moral AI Agents in Bottom-up Learning Frameworks. 271-277 - Deepak Somaya, Lav R. Varshney:
Embodiment, Anthropomorphism, and Intellectual Property Rights for AI Creations. 278-283 - Biplav Srivastava, Francesca Rossi:
Towards Composable Bias Rating of AI Services. 284-289 - Pablo Suárez-Serrato, Eduardo Iván Velázquez Richards, Mehrdad Yazdani:
Socialbots Supporting Human Rights. 290-296 - Fan-Yun Sun, Yen-Yu Chang, Yueh-Hua Wu, Shou-De Lin:
Designing Non-greedy Reinforcement Learning Agents with Diminishing Reward Shaping. 297-302 - Sarah Tan, Rich Caruana, Giles Hooker, Yin Lou:
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation. 303-310 - Daniel L. Tobey:
Software Malpractice in the Age of AI: A Guide for the Wary Tech Company. 311-316 - Dieter Vanderelst, Alan F. T. Winfield:
The Dark Side of Ethical Robots. 317-322 - Marisa Vasconcelos, Carlos Cardonha, Bernardo Gonçalves:
Modeling Epistemological Principles for Bias Mitigation in AI Systems: An Illustration in Hiring Decisions. 323-329 - Alan R. Wagner:
An Autonomous Architecture that Protects the Right to Privacy. 330-334 - Brian Hu Zhang, Blake Lemoine, Margaret Mitchell:
Mitigating Unwanted Biases with Adversarial Learning. 335-340 - Jianxin Roger Zhao, Richard Mortier, Jon Crowcroft, Liang Wang:
Privacy-Preserving Machine Learning Based Data Analytics on Edge Devices. 341-346 - Yuanshuo Zhao, Ioana Baldini, Prasanna Sattigeri, Inkit Padhi, Yoong Keok Lee, Ethan Smith:
Data Driven Techniques for Organizing Scientific Articles Relevant to Biomimicry. 347-353
Student Poster Session
- Rediet Abebe:
Computational Perspectives on Social Good and Access to Opportunity. 354-355 - Gagan Bansal:
Explanatory Dialogs: Towards Actionable, Interactive Explanations. 356-357 - Joseph A. Blass:
Legal, Ethical, Customizable Artificial Intelligence. 358-359 - Cassandra Carley:
Balancing Privacy and Utility with Pattern Based Activity Detection: Extended Abstract. 360-361 - Gong Chen:
Nurturing the Companion ChatBot. 362-363 - Bobbie Lynn Eicher:
Giving AI a Theory of Mind. 364-365 - Colin Garvey:
AI Risk Mitigation Through Democratic Governance: Introducing the 7-Dimensional AI Risk Horizon. 366-367 - Lily Hu:
Justice Beyond Utility in Artificial Intelligence. 368-369 - Daniel Kasenberg:
Learning and Obeying Conflicting Norms in Stochastic Domains. 370-371 - Shiva Kaul:
Speed And Accuracy Are Not Enough! Trustworthy Machine Learning. 372-373 - Barton E. Lee:
A Win for Society! Conquering Barriers to Fair Elections. 374-375 - Priel Levy:
Optimal Contest Design for Multi-Agent Systems. 376-377 - Marc Serramia:
Ethics in Norm Decision Making. 378-379 - Martin Strobel:
An Axiomatic Approach to Explain Computer Generated Decisions: Extended Abstract. 380-381 - Sarah Tan:
Interpretable Approaches to Detect Bias in Black-Box Models. 382-383 - Stefano Tedeschi:
Accountable Agents and Where to Find Them. 384-385 - Eva Thelisson:
Towards a Computational Sustainability for AI/ML to Foster Responsibility. 386-387 - Ilse Verdiesen:
The Design of Human Oversight in Autonomous Weapon Systems. 388-389 - Jin Xu:
Overtrust of Robots in High-Risk Scenarios. 390-391
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