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

by King, Thomas C; Aggarwal, Nikita; Taddeo, Mariarosaria; Floridi, Luciano (2020)

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.

Keywords

Ai And Law, Ai-Crime, Artificial Intelligence, Dual-Use, Ethics, Machine Learning

Themes

Politics of AI, Automation

Links to Reference

• http://dx.doi.org/10.1007/s11948-018-00081-0
• https://www.ncbi.nlm.nih.gov/pubmed/30767109
• https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6978427
• https://dx.doi.org/10.1007/s11948-018-00081-0

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