Ethics and Transparency in Game Data

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

doi:10.1145/3665463.3678859

Ethics and Transparency in Game Data

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

Publikation: Beitrag in Buch oder Tagungsband › Vortrag mit Beitrag in Tagungsband › Begutachtung

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.

Originalsprache	Englisch
Titel	Companion Proceedings of the 2024 Annual Symposium on Computer-Human Interaction in Play
Erscheinungsort	New York, USA
Herausgeber (Verlag)	Association for Computing Machinery (ACM)
Seiten	466-470
ISBN (Print)	979-8-4007-0692-9
DOIs	https://doi.org/10.1145/3665463.3678859
Publikationsstatus	Veröffentlicht - 14 Okt. 2024
Veranstaltung	CHI PLAY '24: The Annual Symposium on Computer-Human Interaction in Play - Tampere, Finnland Dauer: 14 Okt. 2024 → 17 Okt. 2024 https://chiplay.acm.org/2024/

Publikationsreihe

Name	CHI PLAY Companion '24
Herausgeber (Verlag)	Association for Computing Machinery

Konferenz

Konferenz	CHI PLAY '24: The Annual Symposium on Computer-Human Interaction in Play
Kurztitel	CHI Play 2024
Land/Gebiet	Finnland
Stadt	Tampere
Zeitraum	14/10/24 → 17/10/24
Internetadresse	https://chiplay.acm.org/2024/

Research Field

Former Research Field - Experience Business Transformation

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10.1145/3665463.3678859

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Kleinmann, E., El-Nasr, M. S., Pfau, J., Kriglstein, S., Wallner, G., Melhart, D., Yannakakis, G. N., Zhu, J., Watson, B., & Harteveld, C. (2024). Ethics and Transparency in Game Data. in Companion Proceedings of the 2024 Annual Symposium on Computer-Human Interaction in Play (S. 466-470). (CHI PLAY Companion '24). Association for Computing Machinery (ACM). https://doi.org/10.1145/3665463.3678859

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title = "Ethics and Transparency in Game Data",

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, Machine Learning, ethics, game AI, game data, transparency",

author = "Erica Kleinmann and El-Nasr, {Magy Seif} and Johannes Pfau and Simone Kriglstein and G{\"u}nter Wallner and David Melhart and Yannakakis, {Georgios N.} and Jichen Zhu and Benjamin Watson and Casper Harteveld",

note = "Q4/2024; CHI PLAY '24: The Annual Symposium on Computer-Human Interaction in Play, CHI Play 2024 ; Conference date: 14-10-2024 Through 17-10-2024",

year = "2024",

month = oct,

day = "14",

doi = "10.1145/3665463.3678859",

language = "English",

isbn = "979-8-4007-0692-9",

series = "CHI PLAY Companion '24",

publisher = "Association for Computing Machinery (ACM)",

pages = "466--470",

booktitle = "Companion Proceedings of the 2024 Annual Symposium on Computer-Human Interaction in Play",

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}

Kleinmann, E, El-Nasr, MS, Pfau, J, Kriglstein, S, Wallner, G, Melhart, D, Yannakakis, GN, Zhu, J, Watson, B & Harteveld, C 2024, Ethics and Transparency in Game Data. in Companion Proceedings of the 2024 Annual Symposium on Computer-Human Interaction in Play. CHI PLAY Companion '24, Association for Computing Machinery (ACM), New York, USA, S. 466-470, CHI PLAY '24: The Annual Symposium on Computer-Human Interaction in Play, Tampere, Finnland, 14/10/24. https://doi.org/10.1145/3665463.3678859

Ethics and Transparency in Game Data. / Kleinmann, Erica; El-Nasr, Magy Seif; Pfau, Johannes et al.
Companion Proceedings of the 2024 Annual Symposium on Computer-Human Interaction in Play. New York, USA: Association for Computing Machinery (ACM), 2024. S. 466-470 (CHI PLAY Companion '24).

Publikation: Beitrag in Buch oder Tagungsband › Vortrag mit Beitrag in Tagungsband › Begutachtung

TY - GEN

T1 - Ethics and Transparency in Game Data

AU - Kleinmann, Erica

AU - El-Nasr, Magy Seif

AU - Pfau, Johannes

AU - Kriglstein, Simone

AU - Wallner, Günter

AU - Melhart, David

AU - Yannakakis, Georgios N.

AU - Zhu, Jichen

AU - Watson, Benjamin

AU - Harteveld, Casper

N1 - Q4/2024

PY - 2024/10/14

Y1 - 2024/10/14

N2 - 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.

AB - 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.

KW - AI

KW - Machine Learning

KW - ethics

KW - game AI

KW - game data

KW - transparency

U2 - 10.1145/3665463.3678859

DO - 10.1145/3665463.3678859

M3 - Conference Proceedings with Oral Presentation

SN - 979-8-4007-0692-9

T3 - CHI PLAY Companion '24

SP - 466

EP - 470

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

PB - Association for Computing Machinery (ACM)

CY - New York, USA

T2 - CHI PLAY '24: The Annual Symposium on Computer-Human Interaction in Play

Y2 - 14 October 2024 through 17 October 2024

ER -

Ethics and Transparency in Game Data

Abstract

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Konferenz

Research Field

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