Caldwell, M;
Andrews, JTA;
Tanay, T;
Griffin, LD;
(2020)
AI-enabled future crime.
Crime Science
, 9
(1)
, Article 14. 10.1186/s40163-020-00123-8.
Preview |
Text
s40163-020-00123-8.pdf - Published Version Download (2MB) | Preview |
Abstract
A review was conducted to identify possible applications of artificial intelligence and related technologies in the perpetration of crime. The collected examples were used to devise an approximate taxonomy of criminal applications for the purpose of assessing their relative threat levels. The exercise culminated in a 2-day workshop on ‘AI & Future Crime’ with representatives from academia, police, defence, government and the private sector. The workshop remit was (i) to catalogue potential criminal and terror threats arising from increasing adoption and power of artificial intelligence, and (ii) to rank these threats in terms of expected victim harm, criminal profit, criminal achievability and difficulty of defeat. Eighteen categories of threat were identified and rated. Five of the six highest-rated had a broad societal impact, such as those involving AI-generated fake content, or could operate at scale through use of AI automation; the sixth was abuse of driverless vehicle technology for terrorist attack.
| Type: | Article |
|---|---|
| Title: | AI-enabled future crime |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1186/s40163-020-00123-8 |
| Publisher version: | https://doi.org/10.1186/s40163-020-00123-8 |
| Language: | English |
| Additional information: | © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10107459 |
Loading...
Loading...Loading...Loading...Archive Staff Only
 |
View Item |
