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English
The University of Buckingham Press
12 September 2025
This thesis examines how Responsible AI (RAI) governance models influence the adoption of AI-powered IoT devices, considering critical factors such as transparency, fairness, accountability, privacy, and security. As AI systems increasingly interact with human users in data-driven environments, concerns over algorithmic governance, explainability, and regulatory compliance shape public trust and business decision-making. This study explores the intersection of RAI governance, industry implementation, and user perception, using qualitative thematic analysis to draw insights from professional, businesses, and end-users. The findings reveal that trust in AI-powered IoT is contingent upon multiple RAI principles, including explainability, data security, fairness, and ethical oversight, rather than transparency alone. Furthermore, the study highlights the trade-offs between AI innovation, regulatory compliance, and ethical deployment, providing recommendations for businesses to foster RAI-driven AI adoption while ensuring alignment with evolving governance frameworks. It offers practical recommendations for ethical design, regulatory compliance, and user-centric transparency, helping organizations enhance AI adoption and trust while maintaining a competitive edge in the evolving IoT market.
By:  
Imprint:   The University of Buckingham Press
Country of Publication:   United Kingdom
Dimensions:   Height: 216mm,  Width: 140mm,  Spine: 10mm
Weight:   209g
ISBN:   9781917163026
ISBN 10:   1917163029
Pages:   176
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

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