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.

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
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TNO’s Vision for Responsible AI That Works
TNO builds Responsible AI That Works: sovereign, ethical and effective systems that preserve human agency and measurable societal impact across Europe.


ObjectivEye: AI-assisted human recruitment


Large dataset news organizations for Dutch AI language model GPT-NL


Working on reliable AI


AI model for personalised healthy lifestyle advice

