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Using the Double Transparency of Autonomous Vehicles to Increase Fairness and Social Welfare

Author

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  • Jie Xu

    (Fudan University)

  • Min Ding

    (The Pennsylvania State University)

Abstract

Fully autonomous vehicles (AVs) create double transparency regarding human driving decisions. Opaque decision rules in the human mind have become transparent in AVs, and in turn, can be made transparent to third parties. This double transparency is creating an unprecedented opportunity to regulate driving decision rules to eliminate unreasonable selfishness and increase fairness and social welfare because AVs can be programmed to follow regulations 100% of the time. In this experimental ethics study, we performed an incentive aligned online experiment to examine humans’ willingness to sacrifice other people’s lives to protect their own in five different accident scenarios and to investigate the potential for AV regulation to curb unreasonable selfishness, thereby increasing fairness and social welfare. Our results reveal the need to regulate rules governing AV driving decisions; yet, a full transparency policy for decision algorithms may not necessarily lead to desired social effects. Thus, regulations should be tailored to different scenarios.

Suggested Citation

  • Jie Xu & Min Ding, 2019. "Using the Double Transparency of Autonomous Vehicles to Increase Fairness and Social Welfare," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 6(1), pages 26-35, June.
    • Handle: RePEc:spr:custns:v:6:y:2019:i:1:d:10.1007_s40547-019-00093-2
    DOI: 10.1007/s40547-019-00093-2
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    References listed on IDEAS

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    1. Stefano DellaVigna & John A. List & Ulrike Malmendier, 2012. "Testing for Altruism and Social Pressure in Charitable Giving," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(1), pages 1-56.
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    Cited by:

    1. Matthew J. Schneider & Shawn Mankad, 2021. "A Two-Stage Authorship Attribution Method Using Text and Structured Data for De-Anonymizing User-Generated Content," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 8(3), pages 66-83, September.
    2. Shiri Melumad & Rhonda Hadi & Christian Hildebrand & Adrian F. Ward, 2020. "Technology-Augmented Choice: How Digital Innovations Are Transforming Consumer Decision Processes," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 7(3), pages 90-101, October.
    3. Shiri Melumad & Rhonda Hadi & Christian Hildebrand & Adrian F. Ward, 2021. "Technology-Augmented Choice: How Digital Innovations Are Transforming Consumer Decision Processes," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 7(3), pages 90-101, October.

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