Ethics and Transparency in Game Data
Publication date
2024-10-14
Authors
Kleinman, Erica
Kriglstein, Simone
Yannakakis, Georgios N.
El-Nasr, Magy Seif
Wallner, Günter
Zhu, Jichen
Harteveld, Casper
Pfau, Johannes
Melhart, David
Watson, Benjamin
Editors
Advisors
Supervisors
Document Type
Part of book
Metadata
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License
cc_by
Abstract
While existing work has discussed ethics and fairness in relation to data generally, and a small number of papers have raised the same issues within games specifically, work on addressing fairness and ethical issues with game data collection and usage is still rare. With game AI, LLM integration, data analytics, and machine learning on the rise, a new dimension to the responsible and ethical treatment of data opens up, comprising factors unique to video games. Our goal for this workshop is, thus, to bring together researchers and professionals working in the spaces of game human–computer interaction (HCI), game data and AI, and ethics in both games and AI to discuss and identify interdisciplinary research opportunities and devise potential solutions to existing problems.
Keywords
AI, ethics, game AI, game data, Machine Learning, transparency, Human-Computer Interaction
Citation
Kleinman, E, Kriglstein, S, Yannakakis, G N, El-Nasr, M S, Wallner, G, Zhu, J, Harteveld, C, Pfau, J, Melhart, D & Watson, B 2024, Ethics and Transparency in Game Data. in CHI-PLAY Companion 2024 - Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play. CHI-PLAY Companion 2024 - Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play, Association for Computing Machinery, pp. 466-470, 11th ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI-PLAY Companion 2024, Tampere, Finland, 14/10/24. https://doi.org/10.1145/3665463.3678859, conference