Governing Generative AI Use through FAIR User Experience: Designing for Interactional Integrity

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Authors: Kaveh Abhari, Monjima Lahiri, Sumanth Paila
Cited by: 1

Abstract

Prevailing HCI paradigms in GenAI design prioritize harm prevention and abstract principles, such as transparency, but often neglect the embodied and interactive ways in which AI shapes user behavior and identity. This paper advocates for a fundamental shift, positioning “interactional integrity” as the central design goal and moving beyond a reductionist focus on harm minimization. We use the FAIR framework—grounded in the existential principles of Freedom, Authenticity, Intentionality, and Responsibility—to cultivate interactional integrity through interface-level affordances. By embedding these principles into user experience, the FAIR framework offers a systematic approach for integrating responsible AI into design practice, ensuring that responsible use becomes a lived interaction rather than a regulatory afterthought.

Fields of Study & Subjects

Research Data Management Practices Scientific Computing and Data Management Digital and Traditional Archives Management

Publication details

Journal / source
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences
Publisher
Hawaii International Conference on System Sciences
Publication date
1 January 2026
Language
EN