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Dr. Suresh Kumar is an Associate Professor of Law at the School of Law, MVN University, Palwal, Haryana, India. His academic interests include law, governance, and the legal dimensions of emerging technologies. He contributes to the discussion of explainable, ethical, and trustworthy Agentic AI, particularly from a legal and governance perspective.
Agentic Artificial Intelligence (AI) systems are progressively adept in sensing their surroundings, analysing intricate data, making choices, engaging with external systems, and executing tasks with differing levels of independence. These skills present considerable prospects in healthcare, education, finance, manufacturing, agriculture, cybersecurity, and various other fields, simultaneously posing issues concerning transparency, equity, accountability, privacy, safety, and human oversight. Clarifiable, principled, and reliable Agentic AI emphasises the necessity for autonomous systems to function in manners that are comprehensible, accountable, safe, and congruent with human principles and institutional standards. This section explores the clarity and openness in autonomous decision-making, ethical guidelines for self-governing systems, equity and bias reduction, safeguarding privacy, cybersecurity, safety, responsibility, and regulatory frameworks. It further examines techniques for assessing agent conduct, supervising autonomous choices, auditing artificial intelligence systems, and ensuring significant human oversight. Ultimately, new research avenues are investigated for creating dependable, ethical, and human-centric agentic AI systems that can facilitate autonomous decision-making while maintaining human agency and institutional responsibility.