Responsible human machine interaction
AI still has a long way to go to avoid mistakes such as bias in facial recognition and accidents with self-driving cars. This development is most rapid if it is done in close cooperation with people. In use cases we work out our AI technology in practical situations.
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Responsible decision-making between people and machines
We are currently investigating what is needed for responsible decision-making between humans and machines. There are four focus areas: responsible AI, explainable AI, co-learning and secure learning.
Our latest developments
44 resultaten, getoond 1 t/m 5
Working on reliable AI
His research helps make AI models reliable, even when there is little data available for learning. Meet Friso Heslinga, computer vision scientist and one of the key researchers and nominee for TNO’s Young Excellent Researcher award.
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AI model for personalised healthy lifestyle advice
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AI in training: FATE develops digital doctor's assistant
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Boost for TNO facilities for sustainable mobility, bio-based construction and AI
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GPT-NL boosts Dutch AI autonomy, knowledge, and technology
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