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Questioning Racial and Gender Bias in AI-based Recommendations: Do Espoused National Cultural Values Matter?

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  • Manjul Gupta

    (Florida International University)

  • Carlos M. Parra

    (Florida International University)

  • Denis Dennehy

    (NUI Galway)

Abstract

One realm of AI, recommender systems have attracted significant research attention due to concerns about its devastating effects to society’s most vulnerable and marginalised communities. Both media press and academic literature provide compelling evidence that AI-based recommendations help to perpetuate and exacerbate racial and gender biases. Yet, there is limited knowledge about the extent to which individuals might question AI-based recommendations when perceived as biased. To address this gap in knowledge, we investigate the effects of espoused national cultural values on AI questionability, by examining how individuals might question AI-based recommendations due to perceived racial or gender bias. Data collected from 387 survey respondents in the United States indicate that individuals with espoused national cultural values associated to collectivism, masculinity and uncertainty avoidance are more likely to question biased AI-based recommendations. This study advances understanding of how cultural values affect AI questionability due to perceived bias and it contributes to current academic discourse about the need to hold AI accountable.

Suggested Citation

  • Manjul Gupta & Carlos M. Parra & Denis Dennehy, 2022. "Questioning Racial and Gender Bias in AI-based Recommendations: Do Espoused National Cultural Values Matter?," Information Systems Frontiers, Springer, vol. 24(5), pages 1465-1481, October.
  • Handle: RePEc:spr:infosf:v:24:y:2022:i:5:d:10.1007_s10796-021-10156-2
    DOI: 10.1007/s10796-021-10156-2
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    1. Paschen, Ulrich & Pitt, Christine & Kietzmann, Jan, 2020. "Artificial intelligence: Building blocks and an innovation typology," Business Horizons, Elsevier, vol. 63(2), pages 147-155.
    2. Nishant, Rohit & Kennedy, Mike & Corbett, Jacqueline, 2020. "Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda," International Journal of Information Management, Elsevier, vol. 53(C).
    3. House, Robert & Javidan, Mansour & Hanges, Paul & Dorfman, Peter, 2002. "Understanding cultures and implicit leadership theories across the globe: an introduction to project GLOBE," Journal of World Business, Elsevier, vol. 37(1), pages 3-10, April.
    4. Anja Lambrecht & Catherine Tucker, 2019. "Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads," Management Science, INFORMS, vol. 65(7), pages 2966-2981, July.
    5. Desouza, Kevin C. & Dawson, Gregory S. & Chenok, Daniel, 2020. "Designing, developing, and deploying artificial intelligence systems: Lessons from and for the public sector," Business Horizons, Elsevier, vol. 63(2), pages 205-213.
    6. Nidhi Agrawal & Durairaj Maheswaran, 2005. "The Effects of Self-Construal and Commitment on Persuasion," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 31(4), pages 841-849, March.
    7. Gupta, Manjul & Uz, Irem & Esmaeilzadeh, Pouyan & Noboa, Fabrizio & Mahrous, Abeer A. & Kim, Eojina & Miranda, Graça & Tennant, Vanesa M. & Chung, Sean & Azam, Akbar & Peters, Anicia & Iraj, Hamideh &, 2018. "Do cultural norms affect social network behavior inappropriateness? A global study," Journal of Business Research, Elsevier, vol. 85(C), pages 10-22.
    8. Gupta, Manjul & Esmaeilzadeh, Pouyan & Uz, Irem & Tennant, Vanesa M., 2019. "The effects of national cultural values on individuals' intention to participate in peer-to-peer sharing economy," Journal of Business Research, Elsevier, vol. 97(C), pages 20-29.
    9. Bo Cowgill & Fabrizio Dell'Acqua & Sandra Matz, 2020. "The Managerial Effects of Algorithmic Fairness Activism," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 85-90, May.
    10. Yulia Grinblat & Michael Gilichinsky & Itzhak Benenson, 2016. "Cellular Automata Modeling of Land-Use/Land-Cover Dynamics: Questioning the Reliability of Data Sources and Classification Methods," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 106(6), pages 1299-1320, November.
    11. Aleš Popovič & Ray Hackney & Rana Tassabehji & Mauro Castelli, 2018. "The impact of big data analytics on firms’ high value business performance," Information Systems Frontiers, Springer, vol. 20(2), pages 209-222, April.
    12. Trump, Rebecca K., 2014. "Connected consumers' responses to negative brand actions: The roles of transgression self-relevance and domain," Journal of Business Research, Elsevier, vol. 67(9), pages 1824-1830.
    13. van Esch, Patrick & Black, J. Stewart, 2019. "Factors that influence new generation candidates to engage with and complete digital, AI-enabled recruiting," Business Horizons, Elsevier, vol. 62(6), pages 729-739.
    14. Manjul Gupta & Sushil Gupta, 2019. "Influence of National Cultures on Operations Management and Supply Chain Management Practices—A Research Agenda," Production and Operations Management, Production and Operations Management Society, vol. 28(11), pages 2681-2698, November.
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