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Toward a rational and ethical sociotechnical system of autonomous vehicles: A novel application of multi-criteria decision analysis

Author

Listed:
  • Veljko Dubljevic
  • George List
  • Jovan Milojevich
  • Nirav Ajmeri
  • William A Bauer
  • Munindar P Singh
  • Eleni Bardaka
  • Thomas A Birkland
  • Charles H W Edwards
  • Roger C Mayer
  • Ioan Muntean
  • Thomas M Powers
  • Hesham A Rakha
  • Vance A Ricks
  • M Shoaib Samandar

Abstract

The impacts of autonomous vehicles (AV) are widely anticipated to be socially, economically, and ethically significant. A reliable assessment of the harms and benefits of their large-scale deployment requires a multi-disciplinary approach. To that end, we employed Multi-Criteria Decision Analysis to make such an assessment. We obtained opinions from 19 disciplinary experts to assess the significance of 13 potential harms and eight potential benefits that might arise under four deployments schemes. Specifically, we considered: (1) the status quo, i.e., no AVs are deployed; (2) unfettered assimilation, i.e., no regulatory control would be exercised and commercial entities would “push” the development and deployment; (3) regulated introduction, i.e., regulatory control would be applied and either private individuals or commercial fleet operators could own the AVs; and (4) fleets only, i.e., regulatory control would be applied and only commercial fleet operators could own the AVs. Our results suggest that two of these scenarios, (3) and (4), namely regulated privately-owned introduction or fleet ownership or autonomous vehicles would be less likely to cause harm than either the status quo or the unfettered options.

Suggested Citation

  • Veljko Dubljevic & George List & Jovan Milojevich & Nirav Ajmeri & William A Bauer & Munindar P Singh & Eleni Bardaka & Thomas A Birkland & Charles H W Edwards & Roger C Mayer & Ioan Muntean & Thomas , 2021. "Toward a rational and ethical sociotechnical system of autonomous vehicles: A novel application of multi-criteria decision analysis," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-17, August.
  • Handle: RePEc:plo:pone00:0256224
    DOI: 10.1371/journal.pone.0256224
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    References listed on IDEAS

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    1. Kate Crawford & Ryan Calo, 2016. "There is a blind spot in AI research," Nature, Nature, vol. 538(7625), pages 311-313, October.
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