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AI for Humanity

AI for Humanity

- Default Title
Description
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.
Product details
Binding:
Paperback
Number of Pages:
176
Release Date:
2025-09-12
Publication Date:
2025-09-12
Publisher:
University of Buckingham Press
Languages:
Original: English
ISBN10:
1917163029
ISBN13:
9781917163026
GPSR Manufacturer Reference:
Weight:
230 g
Height:
140 cm
Width:
216 cm
Thickness:
10 cm
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