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.
Get inspired
Working on reliable AI
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AI in training: FATE develops digital doctor's assistant
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GPT-NL boosts Dutch AI autonomy, knowledge, and technology
Contact us
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Frans van Ette
Functie:Director Autonomous Systems & Decision Support-
Standplaats:Den Haag - New Babylon
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Email:Email Frans
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Christopher Brewster
Functie:Senior Scientist at TNO and Professor at Maastricht UniversityChristopher Brewster is a Senior Scientist in the Data Science group and Professor of the Application of Emerging Technologies in the Institute of Data Science, Maastricht University. His research has focussed on the application of Semantic Technologies, Open and Linked Data, interoperability architectures and Data Governance, mostly to the food and agriculture domains.
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Standplaats:Soesterberg
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Email:Email Christopher
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Daniël Worm
Functie:Deputy Research ManagerDaniel Worm is the Deputy Manager of the research group Applied Cryptography & Quantum Algorithms (ACQuA). He is also an expert in Privacy Enhancing Technologies and excels at connecting people, topics, and organisations to achieve societal impact.
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Standplaats:Den Haag - New Babylon
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Email:Email Daniël
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Gu van Rhijn
Functie:Senior Project Manager-
Standplaats:Leiden - Sylviusweg
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Email:Email Gu
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Jack Verhoosel
Functie:Senior Consulting Scientist-
Standplaats:Soesterberg
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Email:Email Jack
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Jan-Pieter Paardekooper
Functie:Scientist Integrator-
Standplaats:Helmond
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Email:Email Jan-Pieter
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Jasper van der Waa
Functie:Scientist Human-AI CollaborationFor humans and AI applications to function effectively and responsibly, they need to collaborate. My research revolves around shaping that human-AI collaboration.
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Standplaats:Soesterberg
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Email:Email Jasper
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Jok Tang
Functie:Research Manager Build EnvironmentHi, I'm Jok, working for the Data Science Department, specialized in (1) explainable and trustworthy AI, (2) hybrid AI where we combine data-driven and knowledge-driven models, and (3) learning from human linguistics.
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Standplaats:Den Haag - New Babylon
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Email:Email Jok
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Jos Hegge
Function not known-
Standplaats:Eindhoven - High Tech Campus 25
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Email:Email Jos
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Jurriaan van Diggelen
Function not known-
Standplaats:Soesterberg
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Email:Email Jurriaan
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