AI can empower us, if the right tools are used to the job. For knowledge intensive work in changing contexts, Hybrid Intelligence, i.e., the combination of human plus artificial intelligence, brings better solutions than AI or humans could do by themselves. I will explain and discuss the gap between the knowledge in foundation models and context, and show an example of how combining foundational models with human expertise bridges that gap. Furthermore, I will show how a combination of Reinforcement Learning with Knowledge Technology can help organisation to create reflective intelligent systems that actively seek to improve the fairness of the AI driven decision making.

Prof. dr. Catholijn Jonker is professor in Artificial Intelligence at TU Delft, Leiden University, and Vrije Universiteit Amsterdam. She is principal investigator of the Amsterdam Institute of Advanced Metropolitan Solutions (AMS), and coordinator of the Hybrid Intelligence Centre. She is a member of the Royal Holland Society of Sciences and Humanities, a Fellow of EurAI, and member of the Academia Europaea. She is a knight in the Order of the Netherlands Lion. Recipient of the 2024 Autonomous Agents Research Award (https://sigai.acm.org/main/2024/02/28/catholijn-jonker-2024-autonomous-agents-research-award/). 

Her publications address hybrid intelligence and interactive intelligent processes such as negotiation, teamwork and the dynamics of individual agents.