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Information, uncertainty and the manipulability of artifcial intelligence autonomous vehicles systems

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  • Osório, António (António Miguel)
  • Pinto, Alberto Adrego

Abstract

In an avoidable harmful situation, autonomous vehicles systems are expected to choose the course of action that causes the less damage to everybody. However, this behavioral protocol implies some predictability. In this context, we show that if the autonomous vehicle decision process is perfectly known then malicious, opportunistic, terrorist, criminal and non-civic individuals may have incentives to manipulate it. Consequently, some levels of uncertainty are necessary for the system to be manipulation proof. Uncertainty removes the misbehavior incentives because it increases the risk and likelihood of unsuccessful manipulation. However, uncertainty may also decrease the quality of the decision process with negative impact in terms of efficiency and welfare for the society. We also discuss other possible solutions to this problem. Keywords: Artificial intelligence; Autonomous vehicles; Manipulation; Malicious Behavior; Uncertainty. JEL classification: D81, L62, O32.

Suggested Citation

  • Osório, António (António Miguel) & Pinto, Alberto Adrego, 2019. "Information, uncertainty and the manipulability of artifcial intelligence autonomous vehicles systems," Working Papers 2072/376028, Universitat Rovira i Virgili, Department of Economics.
    • Handle: RePEc:urv:wpaper:2072/376028
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    File URL: http://hdl.handle.net/2072/376028
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    References listed on IDEAS

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    Cited by:

    1. Feipeng Wang & Diana Filipa Araújo & Yan-Fu Li, 2023. "Reliability assessment of autonomous vehicles based on the safety control structure," Journal of Risk and Reliability, , vol. 237(2), pages 389-404, April.
    2. Leminen, Seppo & Rajahonka, Mervi & Wendelin, Robert & Westerlund, Mika & Nyström, Anna-Greta, 2022. "Autonomous vehicle solutions and their digital servitization business models," Technological Forecasting and Social Change, Elsevier, vol. 185(C).

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    More about this item

    Keywords

    Vehicles autònoms; 625 - Enginyeria del transport terrestre;

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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