Integrating Human Oversight with AI-Based Planning Systems: A Framework for Ethical Business Intelligence and Adaptive Experimentation in Nationally Critical Sectors

Gunasai Muppala

Abstract: Artificial intelligence (AI) is increasingly employed in significant fields like defense, healthcare, infrastructure, and finance. Such fields need quick and intelligent decisions, and AI achieves this by processing vast volumes of information and recommending actions. AI is not perfect. Sometimes, it discriminates against or makes mistakes against humans. That is why human oversight is significant. This paper proposes a straightforward, transparent architecture integrating AI planning systems with human control. The goal is to make AI decision-making trustworthy, fair, and transparent. The architecture includes AI models that can plan and learn real-time testing tools, easy-to-interpret dashboards, and a central role for human knowledge. Experts involved are the data analysts and scientists who translate the results from the AI and ensure things are running as required. Humans and AI might make more accurate, faster, and safer decisions alongside each other. The paper also explains adaptive experiment tools like multi-armed bandits and reinforcement learning, which enable enhanced decision-making in dynamic environments. Different possibilities are tested to see what works best over time with the aid of the tools. The framework also highlights the need for ethics in every phase of AI implementation. This paper explains how this framework works and why it is crucial. It also shows how it can be used in different industries to make decision-making more ethical, transparent, and effective.

Keywords: Adaptive experimentation, artificial intelligence (AI), ethical decision-making, human oversight

How to Cite?: Gunasai Muppala, "Integrating Human Oversight with AI-Based Planning Systems: A Framework for Ethical Business Intelligence and Adaptive Experimentation in Nationally Critical Sectors", Volume 14 Issue 11, November 2025, International Journal of Science and Research (IJSR), Pages: 1022-1025, https://www.ijsr.net/getabstract.php?paperid=SR251113081129, DOI: https://dx.doi.org/10.21275/SR251113081129