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

Osório, António (António Miguel) and Alberto Adrego Pinto

Working Papers from Universitat Rovira i Virgili, Department of Economics

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.

Keywords: Vehicles autònoms; 625 - Enginyeria del transport terrestre (search for similar items in EconPapers)
Date: 2019
New Economics Papers: this item is included in nep-big and nep-tre
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/2072/376028

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:urv:wpaper:2072/376028

Access Statistics for this paper

More papers in Working Papers from Universitat Rovira i Virgili, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Ariadna Casals ().