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
54 resultaten, getoond 1 t/m 5
AiGrunn Conference
TNO and UMCG are the track champions of the Healthcare & Life Sciences track. This track goes after the difficult questions: what the data infrastructure actually has to look like, what reaches the patient, what the evidence says, and what is still unresolved at the research frontier.
TNO AI event 2026
Impact Acceleration Challenge


Time setter story: Saskia Lensink about GPT-NL


Criminals are using AI smarter and smarter; how do we stay one step ahead?


