Ethical considerations for player modeling

Benedikte Mikkelsen, Christoffer Holmgard, Julian Togelius

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    In this paper we discuss some of the ethical challenges that may arise from player modeling. Player modeling is used in modern games e.g. to enable various kinds of game play, to optimize games for specific players, and to maximize the monetization of games. In this paper, we propose that applying player modeling implies serious ethical questions, since it impacts how players spend their leisure time and money, affects their social relations, and changes computer games as ethical artifacts. We source categories of ethical issues in the application of artificial intelligence (AI) from work on AI ethics and using these we provide several specific examples of ethical issues in player modeling. Building from the examples, we suggest establishing a framework for understanding ethical issues in player modeling and we propose a number of methodological approaches to address the identified challenges.

    Original languageEnglish (US)
    Title of host publicationWS-17-01
    Subtitle of host publicationArtificial Intelligence and Operations Research for Social Good; WS-17-02: Artificial Intelligence, Ethics, and Society; WS-17-03: Artificial Intelligence for Connected and Automated Vehicles; WS-17-04: Artificial Intelligence for Cyber Security; WS-17-05: Artificial Intelligence for Smart Grids and Buildings; WS-17-06: Computer Poker and Imperfect Information Games; WS-17-07: Crowdsourcing, Deep Learning and Artificial Intelligence Agents; WS-17-08: Distributed Machine Learning; WS-17-09: Joint Workshop on Health Intelligence; WS-17-10: Human-Aware Artificial Intelligence; WS-17-11: Human-Machine Collaborative Learning; WS-17-12: Knowledge-Based Techniques for Problem Solving and Reasoning; WS-17-13: Plan, Activity, and Intent Recognition; WS-17-14: Symbolic Inference and Optimization; WS-17-15: What's Next for AI in Games?
    PublisherAI Access Foundation
    Number of pages8
    ISBN (Electronic)9781577357865
    StatePublished - 2017
    Event31st AAAI Conference on Artificial Intelligence, AAAI 2017 - San Francisco, United States
    Duration: Feb 4 2017Feb 10 2017

    Publication series

    NameAAAI Workshop - Technical Report
    VolumeWS-17-01 - WS-17-15


    Other31st AAAI Conference on Artificial Intelligence, AAAI 2017
    Country/TerritoryUnited States
    CitySan Francisco

    ASJC Scopus subject areas

    • General Engineering


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