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

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.

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Publication Details

Journal
ScholarSpace (University of Hawaii at Manoa)
Published
2025-12-23
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

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

Kaveh Abhari, Sumanth Paila, Monjima Lahiri
ScholarSpace (University of Hawaii at Manoa)
Ethics and Social Impacts of AI
article

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

Kaveh Abhari, Sumanth Paila, Monjima Lahiri
article en

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.

ScholarSpace (University of Hawaii at Manoa)
Peace, Justice and strong institutions
Openalex Percentile: Top 27%
Ethics and Social Impacts of AI
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