IDEAS home Printed from https://ideas.repec.org/p/urv/wpaper/2072-376028.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/2072/376028
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Varghese S. Jacob & James C. Moore & Andrew B. Whinston, 1988. "Artificial Intelligence and the Management Science Practitioner: Rational Choice and Artificial Intelligence," Interfaces, INFORMS, vol. 18(4), pages 24-35, August.
    2. Pomerol, Jean-Charles, 1997. "Artificial intelligence and human decision making," European Journal of Operational Research, Elsevier, vol. 99(1), pages 3-25, May.
    3. Grazia Speranza, M., 2018. "Trends in transportation and logistics," European Journal of Operational Research, Elsevier, vol. 264(3), pages 830-836.
    4. Fred Roberts & Alexis Tsoukiàs, 2008. "Computer science and decision theory: preface," Annals of Operations Research, Springer, vol. 163(1), pages 1-4, October.
    5. Fred Roberts, 2008. "Computer science and decision theory," Annals of Operations Research, Springer, vol. 163(1), pages 209-253, October.
    6. K A H Kobbacy & S Vadera & M H Rasmy, 2007. "AI and OR in management of operations: history and trends," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(1), pages 10-28, January.
    7. Hani S. Mahmassani, 2016. "50th Anniversary Invited Article—Autonomous Vehicles and Connected Vehicle Systems: Flow and Operations Considerations," Transportation Science, INFORMS, vol. 50(4), pages 1140-1162, November.
    8. Mingers, John & White, Leroy, 2010. "A review of the recent contribution of systems thinking to operational research and management science," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1147-1161, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Barış Bülent Kırlar & Serap Ergün & Sırma Zeynep Alparslan Gök & Gerhard-Wilhelm Weber, 2018. "A game-theoretical and cryptographical approach to crypto-cloud computing and its economical and financial aspects," Annals of Operations Research, Springer, vol. 260(1), pages 217-231, January.
    2. Sheida Etemadidavan & Andrew J. Collins, 2021. "An Empirical Distribution of the Number of Subsets in the Core Partitions of Hedonic Games," SN Operations Research Forum, Springer, vol. 2(4), pages 1-20, December.
    3. Richárd Kicsiny & Zoltán Varga, 2023. "New algorithm for checking Pareto optimality in bimatrix games," Annals of Operations Research, Springer, vol. 320(1), pages 235-259, January.
    4. Shuihua Han & Yufang Fu & Bin Cao & Zongwei Luo, 2018. "Pricing and bargaining strategy of e-retail under hybrid operational patterns," Annals of Operations Research, Springer, vol. 270(1), pages 179-200, November.
    5. César Alfaro & Javier Cano-Montero & Javier Gómez & Javier M. Moguerza & Felipe Ortega, 2016. "A multi-stage method for content classification and opinion mining on weblog comments," Annals of Operations Research, Springer, vol. 236(1), pages 197-213, January.
    6. César Alfaro & Javier Cano-Montero & Javier Gómez & Javier Moguerza & Felipe Ortega, 2016. "A multi-stage method for content classification and opinion mining on weblog comments," Annals of Operations Research, Springer, vol. 236(1), pages 197-213, January.
    7. Madjid Tavana & Debora Di Caprio & Francisco J. Santos-Arteaga, 2016. "Loyal customer bases as innovation disincentives for duopolistic firms using strategic signaling and Bayesian analysis," Annals of Operations Research, Springer, vol. 244(2), pages 647-676, September.
    8. Smith, Chris M. & Shaw, Duncan, 2019. "The characteristics of problem structuring methods: A literature review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 403-416.
    9. Trutnevyte, Evelina & Stauffacher, Michael & Scholz, Roland W., 2012. "Linking stakeholder visions with resource allocation scenarios and multi-criteria assessment," European Journal of Operational Research, Elsevier, vol. 219(3), pages 762-772.
    10. Hrabec, Dušan & Hvattum, Lars Magnus & Hoff, Arild, 2022. "The value of integrated planning for production, inventory, and routing decisions: A systematic review and meta-analysis," International Journal of Production Economics, Elsevier, vol. 248(C).
    11. Rodney J. Scott & Robert Y. Cavana & Donald Cameron, 2016. "Client Perceptions of Reported Outcomes of Group Model Building in the New Zealand Public Sector," Group Decision and Negotiation, Springer, vol. 25(1), pages 77-101, January.
    12. Nam C. Nguyen & Ockie J. H. Bosch, 2014. "The Art of Interconnected Thinking: Starting with the Young," Challenges, MDPI, vol. 5(2), pages 1-21, August.
    13. Miguel Afonso Sellitto & Guilherme Schreiber Pereira & Rafael Marques & Daniel Pacheco Lacerda, 2018. "Systemic Understanding of Coopetitive Behaviour in a Latin American Technological Park," Systemic Practice and Action Research, Springer, vol. 31(5), pages 479-494, October.
    14. Liu, Weihua & Wang, Siyu & Lin, Yong & Xie, Dong & Zhang, Jiahui, 2020. "Effect of intelligent logistics policy on shareholder value: Evidence from Chinese logistics companies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 137(C).
    15. Margaretha Gansterer & Richard F. Hartl, 2021. "The Prisoners’ Dilemma in collaborative carriers’ request selection," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(1), pages 73-87, March.
    16. Alina Köchling & Marius Claus Wehner, 2020. "Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 795-848, November.
    17. Anirudh Kishore Bhoopalam & Niels Agatz & Rob Zuidwijk, 2023. "Platoon Optimization Based on Truck Pairs," INFORMS Journal on Computing, INFORMS, vol. 35(6), pages 1242-1260, November.
    18. Christoph Keding, 2021. "Understanding the interplay of artificial intelligence and strategic management: four decades of research in review," Management Review Quarterly, Springer, vol. 71(1), pages 91-134, February.
    19. Vladimir A. Masch, 2017. "¡°Shifting the Paradigm¡± in Superintelligence," Review of Economics & Finance, Better Advances Press, Canada, vol. 8, pages 17-30, May.
    20. Ninja Soeffker & Marlin W. Ulmer & Dirk C. Mattfeld, 2019. "Adaptive State Space Partitioning for Dynamic Decision Processes," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(3), pages 261-275, June.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:urv:wpaper:2072/376028. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ariadna Casals (email available below). General contact details of provider: https://edirc.repec.org/data/deurves.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.