Future-proof AI systems
How reliable and aligned with their target audience AI systems are, says little about how well prepared for the future they are. We therefore need to look at the entire lifecycle of AI systems.
AI Systems Engineering & Lifecycle Management
TNO is looking for technical and organisational solutions to ensure that AI applications remain reliably deployable for longer.
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Impact Acceleration Challenge
The Futureproof AI Impact Acceleration Challenge brought together 100+ experts to answer one question: How can we build AI that is sustainable, sovereign and creates lasting value?


Time setter story: Saskia Lensink about GPT-NL


Fair profiling with algorithms? Now there is a practical guide


Time setter story: Jesse van Oort


