Our research
SURE-AI balances fundamental research with industry-driven projects
The centre fosters interdisciplinary collaboration to prepare Norway with essential AI competencies.
By improving the fundamental technology behind AI, our aim is to advance current and emerging AI technologies, aligned with national priorities for creating economic and societal value.
Through dedicated innovation clusters, we ensure that the research outcomes are not only publishable, but deployable, transforming mathematical theory into applied solutions with our industry partners from energy, finance and public services.
Together, we co-develop trustworthy, efficient, robust and impactful AI systems that meet real world needs. To expand our reach and curiosity, we welcome new industry partners to contact us.

Sustainable
Sustainable AI means building and using AI in a way that’s good for people and the planet over the long run. It keeps energy, water, and hardware use low and is affordable to run and maintain. In practice, that means building efficient models with a low environmental impact. This is a central topic for the SURE AI research center.

Risk-Averse
Risk-averse AI means building systems that avoid unnecessary risk and harm, and that are robust to handle challenges and scale without breaking. They know when they’re unsure, choose the safer option, and ask a human when needed. We test them thoroughly, set clear limits, and add backups so they fail safely and keep mistakes small.

Ethical
Ethical AI means building human values right into the algorithms, so they’re ethical from the inside out. Ethical AI means building systems that treat people fairly and with respect. They protect privacy, use data responsibly, and avoid bias, with clear rules about what the AI can and cannot do. We keep choices transparent, explain decisions in plain language, and make sure people—not machines—stay accountable and in control.

Key objectives
SURE-AI's mission is to pioneer a new generation of artificial intelligence that is fundamentally more reliable, efficient, and responsible.
The centre works on creating methods that enable AI to accurately analyse complex and varied data in critical fields like healthcare and climate science, thereby making data-driven research more reproducible and reliable. We are also creating adaptive AI systems that can learn from changing or limited data, making them effective in dynamic environments such as financial markets and environmental monitoring.
Our research is concentrated in ten dedicated work packages bringing together a diverse team of experts from academia and industry.
Research outputs
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Unifying Risk and Belief: A Foundation for Coherent AI Decision-Making
October 2025
Research
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En annen sak med en tittel som dette
September 2025
News
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The economics of overlapping generations: a stochastic lens
October 2025
Research
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