Paul Dongha

The pace of AI adoption - and regulation - has accelerated dramatically in the past 12 months. As global frameworks mature and generative AI moves from pilot to production, how are organisations adapting their responsible AI strategies in real time? This opening panel brings together senior leaders to reflect on the most meaningful shifts in the last year—from governance structures and tooling to regulatory readiness and internal culture.

·       Responding to evolving AI regulations with practical, cross-functional governance updates

·       Adapting RAI frameworks for the age of GenAI, foundation models, and real-time use cases

·       Moving from awareness to accountability: What’s working, what’s not, and what’s next

Join us for a grounded look at how Responsible AI has moved from theory to action in the past year - and where the pressure points remain.

Ensuring the safety of agentic AI systems requires thorough testing and verification methods. This session will dive into the best practices for testing autonomous AI, focusing on verification protocols that ensure the systems behave predictably and ethically under all conditions.

·       Exploring testing methodologies for ensuring the safety of autonomous AI systems.

·       Implementing verification processes that guarantee compliance with governance standards.

·       Addressing the challenges of testing agentic AI and its ethical implications.

The authors of Governing the Machine – how to navigate the risks of AI and unlock its true potential will provide a practical, flexible framework for building comprehensive and robust AI governance to ensure organizations can reap the benefits of AI without unintended liabilities.

The talk will explain the process of defining AI principles and policies, understanding and assessing risks, developing safeguards and selecting the right technical tools and training. It will cover strategies to effectively govern traditional AI systems, the emerging complexities of generative AI and autonomous agents. Whether you're just beginning your AI journey or refining your approach, this is your essential guide to seize the opportunity - and avoid the pitfalls - of AI systems.