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Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions
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 t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6978427/ https://www.ncbi.nlm.nih.gov/pubmed/30767109 http://dx.doi.org/10.1007/s11948-018-00081-0 |
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author | King, Thomas C. Aggarwal, Nikita Taddeo, Mariarosaria Floridi, Luciano |
author_facet | King, Thomas C. Aggarwal, Nikita Taddeo, Mariarosaria Floridi, Luciano |
author_sort | King, Thomas C. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6978427 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-69784272020-02-03 Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions King, Thomas C. Aggarwal, Nikita Taddeo, Mariarosaria Floridi, Luciano Sci Eng Ethics Original Paper 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. Springer Netherlands 2019-02-14 2020 /pmc/articles/PMC6978427/ /pubmed/30767109 http://dx.doi.org/10.1007/s11948-018-00081-0 Text en © The Author(s) 2019 OpenAccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Paper King, Thomas C. Aggarwal, Nikita Taddeo, Mariarosaria Floridi, Luciano Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions |
title | Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions |
title_full | Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions |
title_fullStr | Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions |
title_full_unstemmed | Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions |
title_short | Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions |
title_sort | artificial intelligence crime: an interdisciplinary analysis of foreseeable threats and solutions |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6978427/ https://www.ncbi.nlm.nih.gov/pubmed/30767109 http://dx.doi.org/10.1007/s11948-018-00081-0 |
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