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
Impact Acceleration Challenge: Futureproof AI - Pitching and Ecosystem Building Day
Balancing skepticism and blind trust: critical thinking as the key to responsible and effective use of GenAI
From reactive to proactive: How organisations gain control over GenAI governance
How TNO is leading the drive towards sovereign, responsible Dutch AI
TNO’s vision for responsible AI that works
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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