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
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
AI in training: FATE develops digital doctor's assistant
Contact us
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Freek Bomhof
Functie:Senior ConsultantI am Freek Bomhof, programme director of the AI research programme Appl.AI within TNO. During my studies (Electrical Engineering), I worked on image recognition, a precursor to AI. I continued this work (by reading handwritten addresses with a computer for mail sorting at KPN), and then witnessed the rise of the internet up close, becoming immediately fascinated by the impact digitalisation has on our way of working and living.
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Standplaats:Den Haag - New Babylon
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Email:Email Freek
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