The Values of Value in AI Adoption: Rethinking Efficiency in UX Designers' Workplaces

Fuente: arXiv
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Autori principali: Cha, Inha, Wieczorek, Catherine, Wong, Richmond Y.
Natura: Preprint
Pubblicazione: 2026
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author Cha, Inha
Wieczorek, Catherine
Wong, Richmond Y.
author_facet Cha, Inha
Wieczorek, Catherine
Wong, Richmond Y.
contents Although organizations increasingly position AI adoption as a pathway to competitiveness and innovation, organizations' perspectives on productivity and efficiency often clash with workers' perspectives on AI's economic and social value. Through design workshops with 15 UX designers, we examine how AI adoption unfolds across individual, team, and organizational scales. At the individual level, designers weighed efficiency, skill development, and professional worth. At the team level, they negotiated collaboration, responsibility, and rigor. At the organizational level, adoption was shaped by compliance requirements and organizational norms. Across these scales, discourses of efficiency carried social and ethical dimensions of responsibility, trust, and autonomy. We view adoption as a site where roles, relationships, and power are reconfigured. We argue that AI adoption should be understood as a process of negotiating values, and call for future work examining how AI systems redistribute responsibility among team members, while understanding how such shifts could strengthen worker agency.
format Preprint
id arxiv_https___arxiv_org_abs_2603_05848
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle The Values of Value in AI Adoption: Rethinking Efficiency in UX Designers' Workplaces
Cha, Inha
Wieczorek, Catherine
Wong, Richmond Y.
Computers and Society
Human-Computer Interaction
Although organizations increasingly position AI adoption as a pathway to competitiveness and innovation, organizations' perspectives on productivity and efficiency often clash with workers' perspectives on AI's economic and social value. Through design workshops with 15 UX designers, we examine how AI adoption unfolds across individual, team, and organizational scales. At the individual level, designers weighed efficiency, skill development, and professional worth. At the team level, they negotiated collaboration, responsibility, and rigor. At the organizational level, adoption was shaped by compliance requirements and organizational norms. Across these scales, discourses of efficiency carried social and ethical dimensions of responsibility, trust, and autonomy. We view adoption as a site where roles, relationships, and power are reconfigured. We argue that AI adoption should be understood as a process of negotiating values, and call for future work examining how AI systems redistribute responsibility among team members, while understanding how such shifts could strengthen worker agency.
title The Values of Value in AI Adoption: Rethinking Efficiency in UX Designers' Workplaces
topic Computers and Society
Human-Computer Interaction
url https://arxiv.org/abs/2603.05848