Vamsee Pamisetty on Building Decision Intelligence That Stakeholders Can Actually Trust
When AI Explains Itself: Vamsee Pamisetty on Building Decision Intelligence That Stakeholders Can Actually Trust
Across industries that depend on split-second decisions from managing supply chains to processing financial transactions a persistent question has followed the rise of artificial intelligence: when an AI system makes a consequential call, can it explain why? Vamsee Pamisetty, a Middleware Architect and enterprise systems expert with over a decade of experience in financial governance, government technology, and service-oriented systems, has tackled this question head-on in his recently published research.
His paper, "Explainable Agentic AI for Secure and Adaptive Supply Chain Decision Intelligence in Food Service and Financial Systems," published in the International Journal of Advanced Research in Computer Science and Technology (IJARCST), lays out a framework Pamisetty designed for AI systems that do not merely act on data but can account for their actions in terms that human decision-makers can understand and verify.
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