Ethics and Transparency in Game Data

Erica Kleinman, Simone Kriglstein, Georgios N. Yannakakis, Magy Seif El-Nasr, Günter Wallner, Jichen Zhu, Casper Harteveld, Johannes Pfau, David Melhart, Benjamin Watson

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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.

Original languageEnglish
Title of host publicationCHI-PLAY Companion 2024 - Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play
PublisherAssociation for Computing Machinery
Pages466-470
Number of pages5
ISBN (Electronic)9798400706929
DOIs
Publication statusPublished - 14 Oct 2024
Event11th ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI-PLAY Companion 2024 - Tampere, Finland
Duration: 14 Oct 202417 Oct 2024

Publication series

NameCHI-PLAY Companion 2024 - Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play

Conference

Conference11th ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play, CHI-PLAY Companion 2024
Country/TerritoryFinland
CityTampere
Period14/10/2417/10/24

Keywords

  • AI
  • ethics
  • game AI
  • game data
  • Machine Learning
  • transparency

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