Librería Samer Atenea
Librería Aciertas (Toledo)
Kálamo Books
Librería Perelló (Valencia)
Librería Elías (Asturias)
Donde los libros
Librería Kolima (Madrid)
Librería Proteo (Málaga)
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.
