Tomasz Piechula

As AI becomes embedded across business functions, translating Responsible AI principles into scalable, context-aware practice is an enterprise-wide challenge. Over the past year, Reckitt has evolved its Responsible AI governance model from a conceptual framework to a robust, human-centered process tailored to the company’s operational reality. In this session, Anastasia and Tomasz will walk through key milestones in Reckitt’s RAI journey, sharing practical insights into how risk is evaluated, scoped, and mitigated across diverse AI initiatives. Attendees will gain a clear view of how Reckitt has adapted its governance approach over time - and what others can take from that experience.

• Defining and adapting evaluation scopes based on AI system complexity and business context
• Embedding human-centered reflection into RAI processes to address real-world organizational needs
• Iterating governance models by learning from frontline challenges and cross-functional collaboration