Fairness by design: Combatting deceptive AI-driven interfaces

  • Lechevalier F
  • Potel Saville M
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Abstract

Manipulation and deception were not born with AI: online architecture of choice can be harmful when it contains dark patterns or deceptive designs. These techniques deceive or manipulate users through interfaces that have the substantial effect of subverting or altering users’ agency, decision-making, or choice as part of their online activities. But AI has the potential to further enhance this manipulation increase its sophistication and scale. This article presents the principle of ‘Fairness by Design’ as a potential solution as well as a set of interface prototypes inspired by it and developed within Amurabi’s R&D Lab. These solution prototypes are called ‘Fair Patterns’. Fair patterns make it possible to implement the principles of transparency, trust, and autonomy by providing the right level of information at the right moment in the user journey, in clear language and without cognitive overload.

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Lechevalier, F., & Potel Saville, M. (2025). Fairness by design: Combatting deceptive AI-driven interfaces. Cambridge Forum on AI: Law and Governance, 1. https://doi.org/10.1017/cfl.2025.10018

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