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This course delves into the essential topics of gender, diversity, and fairness in artificial intelligence (AI), aiming to equip students with the knowledge and skills needed to create inclusive, unbiased, and trustworthy AI systems.

Artificial intelligence (AI) and deep learning approaches are often considered black boxes, i.e. as a type of algorithms that accomplish learning tasks but cannot explain how. However, as AI/deep learning is increasingly absorbed as adopted for accomplishing cognitive tasks for human beings, it is becoming important that the deep learning models are understandable by humans, such that artificial and human intelligence can co-exist and collaborate. In critical tasks such as deriving, from given data, a correct medical diagnosis and prognosis, collaboration between artificial and human intelligence are imperative so that the suggestions or decisions from artificial intelligence are both more accurate and more trustworthy.

In today's rapidly advancing technological landscape, the fusion of artificial intelligence and life sciences is creating groundbreaking opportunities for innovation and discovery. This course is designed to equip students with fundamental knowledge essential for navigating this dynamic intersection, particularly focusing on the realm of Generative AI and its applications within life science.

Join the fifth Nordic conference for young AI researchers - where early career researchers in AI can exchange ideas, build collaborations and form a Nordic approach to building AI solutions for the societal good.

NORA-partnerne har i ?r g?tt sammen om eget telt p? Arendalsuka: M?t oss i Kunstig Intelligens-teltet 11.-15. august, for et program fullpakket med KI-innhold fra eksperter over hele Norge!

The 28th European Conference on Artificial Intelligence (ECAI-2025) will be held in the beautiful city of Bologna during 25-30 October 2025. PhD students working in the broad research areas covered by ECAI are invited to participate in the Doctoral Consortium (DC) of ECAI-2025. The DC is an opportunity to meet and interact closely with established researchers in your field, as well as other PhD students. The DC also offers an opportunity to receive feedback on your work, and to get advice on managing your career.