AID – Centre for knowledge-driven AI in complex Decision Processes 

AI centre sketch 354322

Summary

AID gathers an excellent interdisciplinary team of researchers and user partners that will collaborate to develop novel AI methods to be used in complex decision processes, which can act optimally and safely in uncertain environments, by modelling or handling risks explicitly. The research consists of:

1. Development of groundbreaking AI methods, via interdisciplinary theoretical and methodological developments on knowledge-driven and risk-aware AI for decision making, including computational aspects, light embedded algorithms, distributed methods, and uncertainty quantification;
2. Innovations carried out through broad and interdisciplinary case studies in close collaboration with over 30 stakeholders in AI, energy, health, and transportation; and
3. Investigation of societal consequences and industrial impacts of the research.

The stakeholders will provide data, case studies, and ensure fast innovation and value creation.

Partners and stakeholders

NTNU (IE, IV, ØK, TSO Energy, TSO Health, Kavli Institute for Systems Neuroscience, NAIL center), SINTEF (Energy, Digital, Industry, Community), Simula, Smart Innovation Norway, Transportøkonomisk institutt.