Abstract

This study explored the relationship between technological advancements in the workplace, particularly artificial intelligence (AI), and employee well-being. As the use of AI in organizational practices increases, this study sought to examine how fostering social connections, primarily through AI-focused conversations, could enhance employee well-being amid these technological shifts. This research employed a mixed-methods framework with an embedded convergent core design to collect qualitative and quantitative data from employees at a global organization that made recent, significant investments in AI. This methodology integrated pre- and post-intervention surveys to assess changes in employee well-being and an analysis of team discussions about AI to gather more profound insights into their experiences and perceptions. Although not statistically significant, the findings indicated a positive impact of AI-centered team conversations on employee well-being, highlighting the vital role of social connections in mitigating the adverse effects of rapid technological advancements. Quantitative data revealed stability and slight improvements in subjective well-being post-intervention, while qualitative analysis uncovered the strategic, balanced, and forward-looking discussions on AI. The study showed that engaging employees in meaningful conversations about AI could enhance their well-being and prepare them for the evolving workplace dynamics influenced by technological advancements. Additionally, the findings emphasized the importance of maintaining human-centric approaches in the AI-driven organizational landscape, suggesting that fostering social connections can serve as a buffer against the potential challenges posed by such technological shifts.

Library of Congress Subject Headings

Artificial intelligence; Well-being—Employees; Work environment

Date of Award

2024

School Affiliation

Graduate School of Education and Psychology

Department/Program

Education

Degree Type

Dissertation

Degree Name

Doctorate

Faculty Advisor

Danielle Espino

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