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

36 Pages Posted: 8 Jun 2018  

Thomas King

University of Oxford - Oxford Internet Institute

Nikita Aggarwal

University of Oxford - Oxford Internet Institute

Mariarosaria Taddeo

University of Oxford - Oxford Internet Institute

Luciano Floridi

University of Oxford - Oxford Internet Institute

Date Written: May 22, 2018

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, which we term AI-Crime (AIC). We already know that 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 law enforcement and policy-makers with a synthesis of the current problems, and a possible solution space.

Keywords: AI and Law, AI-Crime, Artificial Intelligence, Dual-Use, Ethics, Machine Learning

Suggested Citation

King, Thomas and Aggarwal, Nikita and Taddeo, Mariarosaria and Floridi, Luciano, Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions (May 22, 2018). Available at SSRN: https://ssrn.com/abstract=3183238 or http://dx.doi.org/10.2139/ssrn.3183238

Thomas King (Contact Author)

University of Oxford - Oxford Internet Institute ( email )

1 St. Giles
University of Oxford
Oxford OX1 3PG Oxfordshire, Oxfordshire OX1 3JS
United Kingdom

Nikita Aggarwal

University of Oxford - Oxford Internet Institute ( email )

1 St. Giles
University of Oxford
Oxford OX1 3PG Oxfordshire, Oxfordshire OX1 3JS
United Kingdom

Mariarosaria Taddeo

University of Oxford - Oxford Internet Institute ( email )

1 St. Giles
University of Oxford
Oxford OX1 3PG Oxfordshire, Oxfordshire OX1 3JS
United Kingdom

Luciano Floridi

University of Oxford - Oxford Internet Institute ( email )

1 St. Giles
University of Oxford
Oxford OX1 3PG Oxfordshire, Oxfordshire OX1 3JS
United Kingdom

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