| dc.contributor.author | Ndung'u, Rachel N. | |
| dc.date.accessioned | 2026-03-10T07:40:34Z | |
| dc.date.available | 2026-03-10T07:40:34Z | |
| dc.date.issued | 2026 | |
| dc.identifier.issn | 2279 – 0764) | |
| dc.identifier.uri | http://repository.mut.ac.ke:8080/xmlui/handle/123456789/6599 | |
| dc.description.abstract | The rapid advancement of Artificial Intelligence
(AI) has amplified concerns around trust, transparency, and
accountability in automated decision-making systems. This
paper explores the foundational concept of AI with Trust,
examining how ethical governance, data integrity, and
algorithmic transparency can be strengthened through
technological and policy interventions. Drawing from
emerging frameworks such as the OECD AI Principles and
scholarly insights on trustworthy AI, the study highlights
blockchain as a key enabler of verifiable and tamper-proof
AI processes. By linking blockchain’s decentralized
auditability with AI’s need for explainability and fairness,
the paper argues for an integrated approach that enhances
public confidence in AI systems. The discussion positions
transparency and accountability as cornerstones of
responsible AI adoption and offers a roadmap for aligning
innovation with ethical and societal values. | en_US |
| dc.publisher | International Journal of Computer and Information Technology | en_US |
| dc.subject | AI with trust, transparency, explainability, blockchain, ethical governance | en_US |
| dc.title | Building Trust in AI: How Ethics, Standards, and Blockchain are Redefining Global Governance | en_US |
| dc.type | Article | en_US |
