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The Sustainability-Performance Trade-off in AI: The Role of Sustainability Information and Unmet Performance Goals in Sustainable AI Decisions

Author

Listed:
  • Dirk Leffrang

    (Paderborn University)

  • Oliver Müller

    (Paderborn University)

Abstract

Despite the impressive capabilities of Artificial Intelligence (AI), concerns about its environmental impact continue to grow. However, organizations rarely implement sustainable AI practices in real-world settings. Prior research has predominantly focused on promoting sustainability-related information for non-AI products or exploring technical approaches for AI applications. This paper identifies performance uncertainty as a key factor distinguishing AI from prior technologies. Drawing on goal-setting theory, we investigate the impact of sustainability information and an unmet performance goal on AI retraining decisions. We conducted three incentivized online between-subjects experiments with 343 individuals with data science experience. Our results indicate that visualizing sustainability information increases the likelihood of sustainable AI choices. However, presenting an unmet performance goal decreases the likelihood and offsets the beneficial impact of sustainability information. These findings support sustainability initiatives, AI evaluations, and future research by emphasizing that while sustainability matters, achieving it requires appropriate performance goals for AI.

Suggested Citation

  • Dirk Leffrang & Oliver Müller, 2025. "The Sustainability-Performance Trade-off in AI: The Role of Sustainability Information and Unmet Performance Goals in Sustainable AI Decisions," Working Papers Dissertations 135, Paderborn University, Faculty of Business Administration and Economics.
    • Handle: RePEc:pdn:dispap:135
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    References listed on IDEAS

    as
    1. Chris Stokel-Walker & Richard Van Noorden, 2023. "What ChatGPT and generative AI mean for science," Nature, Nature, vol. 614(7947), pages 214-216, February.
    2. Camerer, Colin F & Hogarth, Robin M, 1999. "The Effects of Financial Incentives in Experiments: A Review and Capital-Labor-Production Framework," Journal of Risk and Uncertainty, Springer, vol. 19(1-3), pages 7-42, December.
    3. Verena Tiefenbeck & Anselma Wörner & Samuel Schöb & Elgar Fleisch & Thorsten Staake, 2019. "Publisher Correction: Real-time feedback promotes energy conservation in the absence of volunteer selection bias and monetary incentives," Nature Energy, Nature, vol. 4(10), pages 891-891, October.
    4. Dominik Bär & Stefan Feuerriegel & Ting Li & Markus Weinmann, 2023. "Message framing to promote solar panels," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    5. Verena Tiefenbeck & Anselma Wörner & Samuel Schöb & Elgar Fleisch & Thorsten Staake, 2019. "Real-time feedback promotes energy conservation in the absence of volunteer selection bias and monetary incentives," Nature Energy, Nature, vol. 4(1), pages 35-41, January.
    6. Slovic, Paul & Finucane, Melissa L. & Peters, Ellen & MacGregor, Donald G., 2007. "The affect heuristic," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1333-1352, March.
    7. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1082-1095, October.
    8. Hunt Allcott & Todd Rogers, 2014. "The Short-Run and Long-Run Effects of Behavioral Interventions: Experimental Evidence from Energy Conservation," American Economic Review, American Economic Association, vol. 104(10), pages 3003-3037, October.
    9. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
    10. Yun Wang & Faiz Currim & Sudha Ram, 2022. "Deep Learning of Spatiotemporal Patterns for Urban Mobility Prediction Using Big Data," Information Systems Research, INFORMS, vol. 33(2), pages 579-598, June.
    11. Daniel L. Chen & Martin Schonger & Chris Wickens, 2016. "oTree - An open-source platform for laboratory, online, and field experiments," Post-Print hal-04315125, HAL.
    12. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2012. "Salience Theory of Choice Under Risk," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1243-1285.
    13. Verena Tiefenbeck & Anselma Wörner & Samuel Schöb & Elgar Fleisch & Thorsten Staake, 2019. "Publisher Correction: Real-time feedback promotes energy conservation in the absence of volunteer selection bias and monetary incentives," Nature Energy, Nature, vol. 4(4), pages 346-346, April.
    14. Chen, Daniel L. & Schonger, Martin & Wickens, Chris, 2016. "oTree—An open-source platform for laboratory, online, and field experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 9(C), pages 88-97.
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    Keywords

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    JEL classification:

    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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