Publication details

Ethics and Transparency in Game Data

Authors

KLEINMAN Erica EL-NASR Magy Seif PFAU Johannes KRIGLSTEIN Simone WALLNER Günter MELHART David YANNAKAKIS Georgios N ZHU Jichen WATSON Benjamin HARTEVELD Casper

Year of publication 2024
Type Article in Proceedings
Conference Companion Proceedings of the 2024 Annual Symposium on Computer-Human Interaction in Play (CHI PLAY Companion '24)
MU Faculty or unit

Faculty of Informatics

Citation
Web https://dl.acm.org/doi/10.1145/3665463.3678859
Doi http://dx.doi.org/10.1145/3665463.3678859
Keywords game data, game AI, ethics, transparency, AI, Machine Learning
Description 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.

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