Transformative Governance: Integrating Generative Artificial Intelligence in State and Local Government Operations

Date of Award

2024

Document Type

Dissertation

Degree Name

Doctor of Organization Development & Change (D.O.D.C.)

Department

Organization Development

First Advisor

Michelle Brodke (Committee Chair)

Second Advisor

Raymond Schuck (Other)

Third Advisor

Carol Gorelick (Committee Member)

Fourth Advisor

William Sawaya (Committee Member)

Abstract

This dissertation explores how state and local governments incorporate Generative Artificial Intelligence (GenAI) into their operations. As these technologies evolve, they offer opportunities to improve efficiency and decision-making but also bring challenges that require updated governance frameworks. The study uses content analysis to examine how well current governance frameworks manage the integration of GenAI, focusing on strategic alignment, risk management, data governance, and ethical considerations. The findings show that governments are at different stages of incorporating GenAI, emphasizing the need for improved governance frameworks to handle these new technologies effectively. This research helps understand how GenAI is changing public sector governance and suggests directions for future policies.

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