From Features to Actions: Explainability in Traditional and Agentic AI Systems
By: Sindhuja Chaduvula, Jessee Ho, Kina Kim, Aravind Narayanan, Mahshid Alinoori, Muskan Garg, Dhanesh Ramachandram, Shaina Raza
Published: 2026-02-09
View on arXiv →#cs.AI
Abstract
This research delves into the critical area of explainable AI (XAI), comparing and contrasting explainability in traditional AI models with that in more complex agentic systems. Enhancing XAI is vital for building trust and ensuring responsible deployment of AI in sensitive applications.