Fairness by design: Combatting deceptive AI-driven interfaces

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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Publication Details

Journal
Cambridge Forum on AI Law and Governance
Published
2025-01-01
DOI
https://doi.org/10.1017/cfl.2025.10018
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

Fairness by design: Combatting deceptive AI-driven interfaces

Fabien Lechevalier, Marie Potel Saville
Cambridge Forum on AI Law and Governance
Ethics and Social Impacts of AI
article

Fairness by design: Combatting deceptive AI-driven interfaces

Fabien Lechevalier, Marie Potel Saville
article en

Abstract

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.

Cambridge Forum on AI Law and GovernanceVol. 1
Université Paris-Saclay (FR), Agence Nationale de la Recherche (FR), Medical Technology and Practice Patterns Institute (US), Stanford Medicine (US), Université Jean Monnet (FR), Stanford University (US)
Openalex Percentile: Top 81%
Ethics and Social Impacts of AI
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