Artificial Intelligence (AI) technology is an enabler in games at every level, from
game development to player experience to building and maintaining gamer communities.
Using AI-powered procedural generation of content, recommender systems, or community
moderation is very attractive, but calls for consideration of Responsible AI (RAI)
principles to address possible risks of e.g., echo-chambers and lack of inclusivity.
The purpose of the Ethics of Game AI workshop is to bring together researchers from academia and industry who are interested in developing, applying and critiquing the ways in which principles of RAI have (or have not) been applied to AI in games. Our goal is to provide a forum where we can share, discuss, and propose ideas and solutions regarding the role of AI in all stages of game development, and the ethical implications that follow from it.
David Melhart is a Postdoctoral Fellow at the Institute of Digital Games, University of Malta and a Senior Engineer at modl.ai. His research specialises in User Research, Player Modelling, and Annotation Tools for Affective Computing. David earned his PhD in AI and Games Research at the Institute of Digital Games, University of Malta in 2021. He was the Communication Chair of FDG 2020, Workshop and Panels Chair of FDG2023, has been a recurring Organiser and Publicity Chair of the Summer School series on Artificial Intelligence and Games (2018-2023), and currently serves as an Editorial Assistant to the IEEE Transactions on Games, Guest Associate Editor on the User States in Extended Reality Media Experiences for Entertainment Games Special Issue of Frontiers in Virtual Reality and Human Behaviour, and Review Editor of Frontiers in Human-Media Interaction.
Cansu Canca is a philosopher and the Founder+Director of AI Ethics Lab, where she leads teams of computer scientists, philosophers, and legal scholars to provide ethics analysis and guidance to researchers and practitioners. She is also Research Associate Professor in Philosophy and the Director of Responsible AI Practice at the Institute for Experiential AI at Northeastern University. Cansu serves as an AI Ethics and Governance Expert consultant to the United Nations, working with UNICRI Centre for AI & Robotics and the INTERPOL in building a "Toolkit for Responsible AI Innovation in Law Enforcement". She has a Ph.D. in philosophy specializing in applied ethics. She primarily works on ethics of technology, having previously worked on ethics and health.
We invite you to submit your contributions in one of these 2 formats:
We are interested in contributions that focus on any aspect of responsible AI for games including, but not limited to:
Please submit through EasyChair: https://easychair.org/conferences/?conf=egai2023
Each submitted paper will be reviewed by a minimum of two members of the program committee using a single-blind peer review process; reviewer identity is not known to the author, but the reviewer knows the author’s identity. Papers will be evaluated based on originality, significance, and quality. All submissions must be in English and PDF format.
At least one author is expected to register and participate in the workshop. This will be an in-person event, co-located with ECAI 2023 in Kraków, Poland.
This workshop focuses on, but is not limited to, the following subjects:
All times are Anywhere on Earth (AoE)
The workshop date is set to take place on 30 Sep. The following schedule is tentative and subject to change.
|13:30 - 13:35
|13:35 - 14:20
|14:20 - 14:40
|Paper presentation #2 - Towards Deception Detection in Multiplayer Dialogue Games using Trust-Based Argumentation
|Joost Vossers, Fanny Danelid, Andreas Brännström and Juan Carlos Nieves
|14:40 - 15:00
|Paper presentation #1 - Coopetition: Learning to Play Skat using Reinforcement Learning
|Paula Klinke, Antonius Naumann, Robin Wersich and Rainer Schlosser
|15:00 - 15:30
|15:30 - 16:15
|16:15 - 17:15
|Round table / panel discussion
|David Melhart, Cansu Canca, Sahar Asadi, Virginia Dignum
|17:15 - 17:30
|Closing remarks and break for the day