Abstract

Article 5 of the European Union’s Artificial Intelligence Act is intended to regulate AI use to prevent potentially harmful consequences. Nevertheless, applying this legislation practically is likely to be challenging because of ambiguously used terminologies and because it fails to specify which manipulation techniques may be invoked by AI, potentially leading to significant harm. This paper aims to bridge this gap by defining key terms and demonstrating how AI may invoke these techniques, drawing from insights in psychology and behavioural economics. First, this paper provides definitions of the terms “subliminal techniques", “manipulative techniques" and “deceptive techniques". Secondly, we identified from the literature in cognitive psychology and behavioural economics three subliminal and five manipulative techniques and exemplify how AI might implement these techniques to manipulate users in real-world case scenarios. These illustrations may serve as a practical guide for stakeholders to detect cases of AI manipulation and consequently devise preventive measures. Article 5 has also been criticised for offering inadequate protection. We critically assess the protection offered by Article 5, proposing specific revisions to paragraph 1, points (a) and (b) of Article 5 to increase its protective effectiveness.
Original languageEnglish
Title of host publicationProceedings of the AAAI Conference on Artificial Intelligence
Place of PublicationWashington DC
PublisherAAAI Press
Pages20001-20009
Number of pages9
Volume38
Edition18
DOIs
Publication statusPublished - 25 Mar 2024
EventThe 38th Annual AAAI Conference on Artificial Intelligence. - , Canada
Duration: 20 Feb 202427 Feb 2024

Publication series

NameProceedings of the AAAI Conference on Artificial Intelligence
ISSN (Print)2159-5399

Conference

ConferenceThe 38th Annual AAAI Conference on Artificial Intelligence.
Country/TerritoryCanada
Period20/02/2427/02/24

Funding

This work was supported by the UKRI Engineering and Physical Sciences Research Council [grant number: 2284306] and the University of Bath.

FundersFunder number
Engineering and Physical Sciences Research Council2284306

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