This session shows how universities and NRENs are building AI they actually control and own for several use-cases we all recognise. Across chatbots, advisory systems, agentic workflows, and speech-to-text infrastructure, the talks focus on practical ways to keep data, governance, and decision-making in-house. Rather than relying on commercial tools, these examples use open standards, shared infrastructure, and human-in-the-loop design. These AI systems are transparent and fit for real usage in education and infrastructure. Let's talk about how we can keep ourselfs knowledgable and in control of these technologies.
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