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

• Tipo: Artigo em Revista Científica Internacional
• Data: 2019

Autores

Osorio, A (Autor) Outra; Alberto A. Pinto (Autor) FCUP

Revista

Título: International Journal of Human Computer Studies

Vol. 130

Páginas: 40-46

ISSN: 1071-5819

Editora: Elsevier

Indexação

ISI Web of Knowledge - 9 Citações

Scopus - 17 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 7