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Gamified Text Testing for Sustainable Fairness

Author

Listed:
  • Savaş Takan

    (Department of Artificial Intelligence and Data Engineering, Faculty of Engineering, Ankara University, 06830 Ankara, Turkey
    These authors contributed equally to this work.)

  • Duygu Ergün

    (School of Fine Arts Design and Architecture, Atılım University, 06830 Ankara, Turkey
    These authors contributed equally to this work.)

  • Gökmen Katipoğlu

    (Department of Computer Engineering, Faculty of Engineering, Kafkas University, 36100 Kars, Turkey)

Abstract

AI fairness is an essential topic as regards its topical and social-societal implications. However, there are many challenges posed by automating AI fairness. Based on the challenges around automating fairness in texts, our study aims to create a new fairness testing paradigm that can gather disparate proposals on fairness on a single platform, test them, and develop the most effective method, thereby contributing to the general orientation on fairness. To ensure and sustain mass participation in solving the fairness problem, gamification elements are used to mobilize individuals’ motivation. In this framework, gamification in the design allows participants to see their progress and compare it with other players. It uses extrinsic motivation elements, i.e., rewarding participants by publicizing their achievements to the masses. The validity of the design is demonstrated through the example scenario. Our design represents a platform for the development of practices on fairness and can be instrumental in making contributions to this issue sustainable. We plan to further realize a plot application of this structure designed with the gamification method in future studies.

Suggested Citation

  • Savaş Takan & Duygu Ergün & Gökmen Katipoğlu, 2023. "Gamified Text Testing for Sustainable Fairness," Sustainability, MDPI, vol. 15(3), pages 1-14, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2292-:d:1047534
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    References listed on IDEAS

    as
    1. Lily Hu & Yiling Chen, 2017. "A Short-term Intervention for Long-term Fairness in the Labor Market," Papers 1712.00064, arXiv.org, revised Feb 2018.
    2. James Jennings, 2004. "Urban Planning, Community Participation, and the Roxbury Master Plan in Boston," The ANNALS of the American Academy of Political and Social Science, , vol. 594(1), pages 12-33, July.
    3. Kavisha Duggal & Lovi Raj Gupta & Parminder Singh, 2021. "Gamification and Machine Learning Inspired Approach for Classroom Engagement and Learning," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-18, May.
    4. Rocsana Bucea-Manea-Țoniş & Valentin Kuleto & Simona Corina Dobre Gudei & Costin Lianu & Cosmin Lianu & Milena P. Ilić & Dan Păun, 2022. "Artificial Intelligence Potential in Higher Education Institutions Enhanced Learning Environment in Romania and Serbia," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    Full references (including those not matched with items on IDEAS)

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