Why Generative AI Is Not Cyrano de Bergerac: A Computational Manipulation Perspective on Generative AI

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

Artificial Intelligence (AI) can collect, while unperceived, Big Data on the user. It has the ability to identify their cognitive profile and manipulate the users into predetermined choices by exploiting their cognitive biases and decision-making processes. A Large Generative Artificial Intelligence Model (LGAIM) can enhance the possibility of computational manipulation. It can make a user see and hear what is more likely to affect their decision-making processes, creating the perfect text accompanied by perfect images and sounds on the perfect website. Multiple international, regional and national bodies recognised the existence of computational manipulation and the possible threat to fundamental rights resulting from its use. The EU even moved the first steps towards protecting individuals against computational manipulation. This paper argues that while manipulative AIs which rely on deception are addressed by existing EU legislation, some forms of computational manipulation, specifically if LGAIM is used in the manipulative process, still do not fall under the shield of the EU. Therefore, there is a need for a redraft of existing EU legislation to cover every aspect of computational manipulation.
Original languageEnglish
Title of host publicationThe Cambridge Handbook of Generative AI and the Law
EditorsMimi Zou, Cristina Poncibò, Martin Ebers, Ryan Calo
PublisherCambridge University Press
Chapter4
Pages43-64
Number of pages22
ISBN (Electronic)9781009492577, 9781009492553
ISBN (Print)9781009492584
DOIs
Publication statusPublished - Aug 2025

Keywords

  • AI Act
  • Computational Manipulation
  • Persuasive Technology
  • Dark Patterns
  • Hydernudge
  • Artifical Intelligence
  • Generative AI
  • AI Regulation
  • GDPR
  • UCPD

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