TAIGA’s research is structured around eight focus areas and four themes.
TAIGA started off with eight focus areas. These areas were chosen from many applications as being the most promising areas where transdisciplinary AI research could be developed based on current research, while at the same time covering all faculties of the university. The idea was that these areas could be incubators that grow communities doing AI research from a transdisciplinary perspective. That is, not just using AI techniques for other research, but really combining disciplines to drive new AI research. Besides involving many people in AI research that were not able to do that before it also created research that is pretty unique in the world.
After 4 years of TAIGA it seemed that the focus areas had been developed enough to go to the next phase and try to focus the efforts in TAIGA to see how the AI research developed in the focus areas can contribute to the profile of the university. Therefore, besides the eight focus areas (that will continue) we will now use the following four themes to create more synergies, while also allowing new groups to actively participate.
Cutting-edge human-centered techniques to solve current problems.
Understanding AI development, control, and implementation.
AI in light of ethical, legal, and societal values and expectations.
Developing the future of human-centered interaction.
How to pursue AI management in practice.
AI and social-political, geo-political, ethical and aesthetic challenges.
Human-centered and socially aware AI systems.
Pedagogical perspective on the use of AI systems.
