Ethical and Social Challenges with developing Automated Methods to Detect and Warn potential victims of Mass-marketing Fraud (MMF)

Whitty, Monica and Edwards, Matthew John and Levi, Michael and Peersman, Claudia and Rashid, Awais and Sasse, Angela and Sorell, Tom and Stringhini, Gianluca (2017) Ethical and Social Challenges with developing Automated Methods to Detect and Warn potential victims of Mass-marketing Fraud (MMF). In: Second International Workshop on Computational Methods for CyberSafety (CyberSafety 2017), co-located with the International Conference on World Wide Web (WWW). ACM, New York, pp. 1311-1314. ISBN 9781450349147

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Abstract

Mass-marketing frauds (MMFs) are on the increase. Given the amount of monies lost and the psychological impact of MMFs there is an urgent need to develop new and effective methods to prevent more of these crimes. This paper reports the early planning of automated methods our interdisciplinary team are developing to prevent and detect MMF. Importantly, the paper presents the ethical and social constraints involved in such a model and suggests concerns others might also consider when developing automated systems.

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
84732
Deposited By:
Deposited On:
20 Feb 2017 13:26
Refereed?:
Yes
Published?:
Published
Last Modified:
25 Sep 2020 05:35