From Tools to Teammates: Agentic AI needs Hybrid Intelligence
Wednesday 16:00 - 16:30
Lezingenzaal 7
Prof. Frank van Harmelen
Principal Investigator
The current AI revolution envisions a world of "agentic" workflows, where AI agents collaborate seamlessly to solve complex tasks. However, the focus on autonomy overlooks a critical ingredient: us. We will discuss that the future of agentic AI belongs to Hybrid Intelligence: redefining AI from an isolated tool to a collaborative teammate. Keeping humans in the loop is indispensable: to unlock the implicit, undocumented knowledge that lives only in our minds, to build genuine trust in automated outcomes, and to ensure deep alignment with complex ethical and cultural standards. We will discuss how to design human-AI ecosystems that elevate machine capability while actively preventing human deskilling.
Prof. Catholijn Jonker
Professor of Interactive Intelligence
The current AI revolution envisions a world of "agentic" workflows, where AI agents collaborate seamlessly to solve complex tasks. However, the focus on autonomy overlooks a critical ingredient: us. We will discuss that the future of agentic AI belongs to Hybrid Intelligence: redefining AI from an isolated tool to a collaborative teammate. Keeping humans in the loop is indispensable: to unlock the implicit, undocumented knowledge that lives only in our minds, to build genuine trust in automated outcomes, and to ensure deep alignment with complex ethical and cultural standards. We will discuss how to design human-AI ecosystems that elevate machine capability while actively preventing human deskilling.
The current AI revolution envisions a world of "agentic" workflows, where AI agents collaborate seamlessly to solve complex tasks. However, the focus on autonomy overlooks a critical ingredient: us. We will discuss that the future of agentic AI belongs to Hybrid Intelligence: redefining AI from an isolated tool to a collaborative teammate. Keeping humans in the loop is indispensable: to unlock the implicit, undocumented knowledge that lives only in our minds, to build genuine trust in automated outcomes, and to ensure deep alignment with complex ethical and cultural standards. We will discuss how to design human-AI ecosystems that elevate machine capability while actively preventing human deskilling.
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