Hybrid Intelligence: Human-AI Co-evolution and Learning in Multi-realities (HI)
Programme description and key aims
The presence of Artificial Intelligence (AI) is growing in all areas of life. However, current data-driven AI is still too narrow to help humans, as it is lacking in social and emotional intelligence, and being restricted by reality. By placing the emphasis on mutual understanding and learning from each other, our research programme aims at combining the strengths of both humans and machines in their co-evolutionary processes. We propose to build the idea of a metaverse by combining our physical and virtual realities in a movement towards a multi-reality.
Our programme focuses on international top-level collaborative and multidisciplinary research, which is supported by the unique learning and interaction research infrastructure LeaF. The Ethics Forum and Data Forum will foster a deep and cross-cutting discussion on Hybrid Intelligence in ethical and responsible ways. With its’ international networks, our programme will pave the way towards breakthroughs in how humans and machines interact, understand, and learn from each other.
HI integrates the University of Oulu’s 4 excellence areas, including Emotion AI, learning processes, perceptional engineering, and nursing science, to generate future AI-based solutions for fields such as education and nursing. Overall, HI aims at advancing the well-being of people in different areas of life and improving the quality of life through the integration of innovative technologies.
Work with us
We are currently seeking talented individuals to join our team. Please see the following links and apply today!
Senior Research Fellow In Ethics In Artificial Intelligence
Tenure Track Assistant or Associate Professor in emotion and cognition AI based on computer vision and machine learning
Tenure Track Assistant or Associate Professor or Full Professor In Tenure In Augmented, Mixed, And/Or Virtual Reality Technologies
Tenure Track Assistant or Associate Professor in Learning Process Data Analytics