As Artificial Intelligence matures from predictive systems to autonomous, goal-driven agents, the convergence of Agentic AI and Responsible AI becomes not just essential—but inevitable. This talk explores the dynamic intersection where the empowerment of intelligent agents meets the ethical guardrails of responsible design.

Agentic AI systems are capable of perception, decision-making, and autonomous action, often orchestrating complex tasks with minimal human oversight. While this unlocks immense potential—from personal assistants and self-optimizing systems to autonomous operations—it simultaneously introduces unprecedented challenges related to accountability, fairness, transparency, and control.

This power talk delves into:

• What defines Agentic AI in the current technological landscape.
• Core principles of Responsible AI and why they must evolve for agentic contexts.
• Key friction points—such as autonomous goal misalignment, emergent behavior, and explainability gaps.
• Real-world use cases and frameworks where agentic autonomy has been successfully aligned with responsible governance.
• A forward-looking blueprint: design principles and policy anchors for building responsible agents that are trustworthy, aligned, and auditable.

By bridging agentic capabilities with ethical imperatives, this session aims to inspire technologists, leaders, and policymakers to co-create AI systems that are not only intelligent—but also accountable, safe, and deeply human-centered.