AI is changing the world we live in. From chatbots to breakthroughs in science, mathematics, and business, today’s innovations are increasingly built on AI technology. The message is clear: organizations cannot afford not to adopt AI.

At the same time, we see a growing number of risks emerging. Some are almost comical - chatbots making silly mistakes - but with very real consequences for the organizations operating them. Others are far more serious, such as bias in pricing and credit models, misuse of personal data, or, at the extreme end of the spectrum, long-term existential risks as AI capabilities continue to grow.

So how do we move forward?

This session introduces Responsible AI as a practical way to balance AI’s enormous value with its equally significant risks.

In this talk, I will cover:
- Why Responsible AI matters - and why it is more important today than ever before

- The key components and processes organizations need to govern AI and manage its risks

- The broad group of stakeholders involved, from data & AI teams and business leaders to executives and control functions

- Concrete, real-world examples of how AI risks can be identified, managed, and monitored in practice

The session is designed to be accessible for newcomers, while still offering structure and insights that resonate with more experienced practitioners.

This session has been refined through internal knowledge-sharing sessions and partially delivered at external conferences to diverse audiences with limited prior exposure to Responsible AI.

The ideal session length is 30–60 minutes and can be extended with interactive elements, such as a hands-on AI risk management exercise for small groups (10–20 participants).

Language: I am comfortable delivering this session in both English (EN) and Dutch (NL).