At the same time, their growing autonomy raises critical governance concerns. Key issues include ensuring sufficient control and accountability, addressing risks such as prompt injection and data poisoning, and understanding emergent behaviors. Broader challenges also involve bias amplification, accuracy and uncertainty, explainability, liability attribution, and sustainability. Beyond these technical risks, agentic AI may also have far-reaching socioeconomic implications, including potential job displacement.
This two-day symposium provides a platform for interdisciplinary dialogue, fostering discussion on legal, technical, and ethical frameworks for governing agentic AI.
See the full programme here.
Register here