Date of Conferral

12-19-2025

Date of Award

December 2025

Degree

Ph.D.

School

Public Policy and Administration

Advisor

Gregory Campbell

Abstract

Academic scholars have researched the impact of artificial intelligence (AI) on privacy, trust, and data governance; however, substantial gaps remain—particularly regarding how AI influences consumer trust and privacy among Texas consumers subscribed to digital platforms. The purpose of this generic qualitative study was to explore how Texas consumers experience and perceive online platforms for personal and private use regarding online data privacy and trust, underscoring the gap in prior research on how state-level consumer protection laws, such as the Texas Deceptive Trade Practices Act (DTPA), address concerns relative to data trust, privacy, and digital protection. The conceptual framework that guided the study was elite theory and theory of reasoned action. Interviews were conducted with 10 participants: five online consumers and five information technology professionals between ages 18 and 65 who resided in Texas. The findings were that although participants appreciate transparency and ethical standards, trust in AI remains conditional and cautious. The Texas DTPA is viewed as a beneficial regulatory policy; however, participants stated it is poorly regulated and unable to address the complexities of online subscriptions and AI. The results of the study could have implications for positive social change by helping to address key concerns of trust, privacy, and protection and supporting measures to strengthen consumer protections, improve ethical AI governance, and promote transparent and egalitarian policy development.

Included in

Public Policy Commons

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