Artificial Intelligence Crime

Sci Eng Ethics. 2019 Feb 14. doi: 10.1007/s11948-018-00081-0. [Epub ahead of print]

Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions.

King TC1, Aggarwal N1,2, Taddeo M1,3, Floridi L4,5.

Author information

1

Oxford Internet Institute, University of Oxford, 1 St Giles, Oxford, OX1 3JS, UK.

2

Faculty of Law, University of Oxford, St Cross Building St. Cross Rd, Oxford, OX1 3UL, UK.

3

The Alan Turing Institute, 96 Euston Road, London, NW1 2DB, UK.

4

Oxford Internet Institute, University of Oxford, 1 St Giles, Oxford, OX1 3JS, UK. luciano.floridi@oii.ox.ac.uk.

5

The Alan Turing Institute, 96 Euston Road, London, NW1 2DB, UK. luciano.floridi@oii.ox.ac.uk.

Abstract

Artificial intelligence (AI) research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI technologies to facilitate criminal acts, term in this article AI-Crime (AIC). AIC is theoretically feasible thanks to published experiments in automating fraud targeted at social media users, as well as demonstrations of AI-driven manipulation of simulated markets. However, because AIC is still a relatively young and inherently interdisciplinary area-spanning socio-legal studies to formal science-there is little certainty of what an AIC future might look like. This article offers the first systematic, interdisciplinary literature analysis of the foreseeable threats of AIC, providing ethicists, policy-makers, and law enforcement organisations with a synthesis of the current problems, and a possible solution space.