Chief Technology Officer and Senior Technical Program Manager, Universidad Isabel I of Castile, In Burgos Spain.
Review Article
World Journal of Advanced Research and Reviews, 2023, 20(02), 1507-1516
Received on 21 September 2023; revised on 20 November 2023; accepted on 26 November 2023
As AI systems increasingly outperform humans in specialized tasks such as medical diagnosis, financial analysis, and strategic decision-making, ensuring human oversight becomes a critical challenge. This paper explores frameworks and mechanisms that allow humans to maintain control over AI-driven agents without hindering their efficiency. We examine case studies where AI has demonstrated superior performance, analyze the risks of over-reliance, and propose governance strategies to ensure AI remains a tool for augmentation rather than replacement. The findings suggest that maintaining a balance between AI autonomy and human oversight is essential for trust, safety, and ethical AI deployment.
Human oversight; AI accountability; ethical AI; human-in-the-loop (HITL); AI governance; AI control mechanisms; responsible AI; explainable AI (XAI); bias mitigation; human-centric AI; AI system audits; compliance and regulation (AI); autonomous decision-making; AI ethics frameworks
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Joel Frenette. Ensuring human oversight in high-performance AI systems: A framework for control and accountability". World Journal of Advanced Research and Reviews, 2023, 20(2), 1507-1516. Article DOI: https://doi.org/10.30574/wjarr.2023.20.2.2194