Building Interdisciplinary Teams for Hybrid Intelligence

Frank van Harmelen Much of the conversation around AI architectures lately is about neuro-symbolic systems that combine neural-network learning tech like LLMs and symbolic AI like knowledge graphs. Frank van Harmelen's research has followed this path, but he puts all of his AI research in the larger context of how these technical systems can best support people. While some in the AI world seek to replace humans with machines, Frank focuses on AI systems that collaborate effectively with people. We talked about: his role as a professor of AI at the Vrije Universiteit in Amsterdam how rapid change in the AI world has affected the 10-year, €20-million Hybrid Intelligence Centre research he oversees the focus of his research on the hybrid combination of human and machine intelligence how the introduction of conversational interfaces has advance AI-human collaboration a few of the benefits of hybrid human-AI collaboration the importance of a shared worldview in any collaborative effort the role of the psychological concept of "theory of mind" in hybrid human-AI systems the emergence of neuro-symbolic solutions how he helps his students see the differences between systems 1 and 2 thinking and its relevance in AI systems his role in establishing the foundations of the semantic web the challenges of running a program that spans seven universities and employs dozens of faculty and PhD students some examples of use cases for hybrid AI-human systems his take on agentic AI, and the importance of humans in agent systems some classic research on multi-agent computer systems the four research challenges - collaboration, adaptation, responsibility, and explainability - they are tackling in their hybrid intelligence research his take on the different approaches to AI in Europe, the US, and China the matrix structure he uses to allocate people and resources to three key research areas: problems, solutions, and evaluation his belief that "AI is there to collaborate with people and not to replace us" Frank's bio Since 2000 Frank van Harmelen has played a leading role in the development of the Semantic Web. He is a co-designer of the Web Ontology Language OWL, which has become a worldwide standard. He co-authored the first academic textbook of the field, and was one of the architects of Sesame, an RDF storage and retrieval engine, which is in wide academic and industrial use. This work received the 10-year impact award at the International Semantic Web Conference. Linked Open Data and Knowledge Graphs are important spin-offs from this work. Since 2020, Frank is is scientific director of the Hybrid Intelligence Centre, where 50 PhD students and as many faculty members from 7 Dutch universities investigate AI systems that collaborate with people instead of replacing them. The large scale of modern knowledge graphs that contain hundreds of millions of entities and relationships (made possible partly by the work of Van Harmelen and his team) opened the door to combine these symbolic knowledge representations with machine learning. Since 2018, Frank has pivoted his research group from purely symbolic Knowledge Representation to Neuro-Symbolic forms of AI. Connect with Frank online Hybrid Intelligence Centre Video Here’s the video version of our conversation: https://youtu.be/ox20_l67R7I Podcast intro transcript This is the Knowledge Graph Insights podcast, episode number 33. As the AI landscape has evolved over the past few years, hybrid architectures that combine LLMs, knowledge graphs, and other AI technology have become the norm. Frank van Harmelen argues that the ultimate hybrid system must also include humans. He's running a 10-year, €20 million research program in the Netherlands to explore exactly this. His Hybrid Intelligence Centre investigates AI systems that collaborate with people instead of replacing them. Interview transcript Larry: Hi,