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

• Type: Article in International Scientific Journal
• Date: 2019

Authors

Osorio, A (Author) Other; Alberto A. Pinto (Author) FCUP

Journal

Title: International Journal of Human Computer Studies

Vol. 130

Pages: 40-46

ISSN: 1071-5819

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 9 Citations

Scopus - 17 Citations

Other information

Authenticus ID: P-00Q-JQY

DOI: 10.1016/j.ijhcs.2019.05.003

Abstract (EN): 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 mis-behavior 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7