AI Crimes: A Classification

Abstract

Intelligent and machine learning systems have infiltrated cyber-physical systems and smart cities with technologies such as internet of things, image processing, robotics, speech recognition, self-driving, and predictive maintenance. To gain user trust, such systems must be transparent and explainable. Regulations are required to control crimes associated with these technologies. Such regulations and legislations depend on the severity of the artificial intelligence (AI) crimes subject to these regulations, and on whether humans and/or intelligent systems are responsible for committing such crimes, and therefore can benefit from a classification tree of AI crimes. The aim of this paper to review prior work in ethics for AI, and classify AI crimes by producing a classification tree to assist in AI crime investigation and regulation.