Date of Conferral

8-1-2026

Date of Award

August 2026

Degree

Doctor of Business Administration (D.B.A.)

School

Management

Advisor

LeVita Bassett

Abstract

Senior business leaders across sectors face increasing risks because many organizations lack effective strategies to ensure transparency and regulatory accountability in artificial intelligence (AI) governance. This problem is critical for industry leaders who rely on transparent and compliant AI systems to protect consumers and maintain operational stability. Grounded in the ethical usage of AI systems, the purpose of this qualitative pragmatic study was to explore effective strategies senior business leaders use to improve transparency and regulatory accountability in AI governance. The participants were six senior business leaders in the United States who successfully implemented such strategies. Data were collected through semistructured interviews and publicly available documents. Through thematic analysis, four themes emerged: (a) strengthening oversight and accountability in AI governance, (b) embedding ethical transparency and explainability, (c) integrating regulatory accountability, and (d) establishing measurable AI governance. A key recommendation for senior business leaders is to institutionalize structured AI impact assessments supported by cross-functional oversight mechanisms. The implications for positive social change include the potential to enhance public trust, reduce algorithmic harms, and promote equitable decision-making by ensuring that AI systems used are transparent, accountable, and ethically aligned.

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