AI Expertise in Norway

Deep learning, applied AI

Bayesian networks, decision support

Machine learning, graph models, time series

Algorithms and machine learning

Algorithms and AI research leadership

Machine learning and data science

Statistics and machine learning

Mathematics for machine learning, signature methods and time-evolving data; research leadership in sustainable and ethical AI

Tsetlin machines, machine learning, reinforcement learning and interpretable AI

Case-based reasoning, machine learning and intelligent systems

Applied artificial intelligence and trustworthy AI

Machine learning, computational intelligence and neurocomputing

Machine learning, deep learning, graph learning and explainable AI

Brain-inspired machine learning and AI applications in materials science

Biologically inspired AI, artificial life, neural systems and adaptive computation

Machine/deep learning for networks and edge intelligence

Deep learning, visual intelligence

Explainable AI, medical image analysis

Machine learning and image analysis

Image analysis, applied machine learning

Computer vision, representation learning

Remote sensing and image analysis

Image analysis in the energy sector

Biometrics, machine learning, generative AI and computer vision

NLP, automated text analysis

Logic, multi-agent systems

AI algorithms and knowledge-based systems

Graph-based machine learning, generative AI

Large language models, semantics, language technology and AI innovation

Knowledge representation, case-based reasoning, multi-agent systems and AI fairness

Text analysis, information retrieval and machine learning

Conversational information access, information retrieval, NLP, machine learning, and transparent/explainable AI

Automated fact-checking, question answering, conversational search, NLP, and deep learning for language technologies

Information retrieval and NLP, including cross-language and speech retrieval

Robotics and intelligent systems

Tsetlin machines and learning automata

Autonomous systems and sensor technology

Robotics and machine learning

AI, digital twins and drones

AI, automation and image analysis

Explainable AI and AI ethics

Machine ethics, logic and normative systems

Responsible AI and data practices

Human-centred AI and system design

Critical AI studies, technology ethics

Explainable AI and model uncertainty

Statistical methods and uncertainty analysis

Machine learning reliability, interpretability, uncertainty and reinforcement learning

Governance and regulation of generative AI; AI-based data pipelines

AI in medicine

AI in elder care and dementia

Medical AI and analysis

AI and computational health research

Medical informatics and machine learning

AI in clinical medicine

Medical imaging, machine learning

Medical visualisation

Responsible AI and AI for decision support, especially healthcare and education; human–AI collaboration

Machine learning, biomedical data

Bioinformatics and algorithms

Health data and computing infrastructure

AI in biomedical research

Bioinformatics and sequence analysis

Machine learning and medical image analysis

AI in education, learning analytics

AI in education, synthetic data

Generative AI in higher education

AI in teaching and learning

Professional learning and digital knowledge practices

Human–AI interaction

AI, human–computer interaction

AI in education and applied AI across sectors, with signal processing and AI leadership experience

Doctoral research on Generative AI in secondary English and Norwegian teaching, AI literacy, and classroom research

Digital and AI practices in language classrooms, alongside English literature education

AI and generative AI in secondary language education, classroom observation, and teacher assessment practice

AI regulation, robotics law

AI regulation, privacy and competition law

EU/EEA law, privacy

AI regulation and data security law

AI, privacy and robotics law

Anti-discrimination law and emerging technology

AI, digital culture and narratives

Philosophy of technology and human–machine relations

Algorithms and digital culture

Digital narratives and generative AI

AI, political communication and media

Digital identity, inclusion and technological justice

Philosophy of AI, AI interpretation and communication; Director of the AI & Humanity Lab

Generative AI, political knowledge, democratic participation and public debate; KnowAI researcher

Philosophy of artificial consciousness and AI ethics, including the Moral Turing Test

AI-mediated knowledge, human answerability and theological anthropology

AI ethics, philosophy of religion and conceptions of human nature

Ethics of artificial intelligence, systematic theology and human nature

AI and trust; generative AI, Christian imagination and Christian film production

Doctoral research on AI as a pedagogical dialogue partner in religious education (KIDU/AIDE)

Responsible AI and recommender systems

Multimedia verification and analysis

AI and digital art

AI and digital art

AI-based storytelling

Generative AI in software development and collaboration

AI and organisational design

AI strategy and digital transformation

AI strategy and business

AI business development

AI entrepreneurship

Technology-driven innovation

AI policy and research strategy

Information-systems research on AI adoption, business value and sustainability of AI-based tools; not a claim of technical AI specialisation

Data and public-sector AI implementation

Responsible AI and public policy

AI and change in public administration

Industrial digitalisation and interoperability

Trustworthy AI in institutions and the legal system

AI, education law and digital administration

Industrial and applied AI

Probabilistic and physics-informed AI

AI and industrial analysis systems

Analytics and industrial AI

Applied AI and analytics

Machine learning and industrial systems

AI and wind power forecasting

Edge intelligence, federated learning and AI-enabled wireless networks and Internet of Things

Machine-learning-based reliability modelling, AI assurance and digital twins for safety-critical systems

Robust and secure deep learning

Digital systems security

Cybersecurity and digital trust

Cybersecurity

Information security and trust models

Cyber threat intelligence and security analysis

AI in knowledge work, digital workplaces, organisational collaboration and professional learning

AI, digital management, hiring and workplace democracy; research on the Norwegian model of working life

AI in policing, professional work and organisational change; AGOPOL research on algorithmic governance

Machine learning and explainable AI for credit-default modelling, credit ratings and financial risk

Business analytics, deep learning in finance and explainable machine-learning models

Machine learning for credit-default prediction and financial forecasting

Doctoral research on military AI, state–technology-company relations and international security policy

International security, hybrid warfare and research on AI and virtual reality in military education

AI research leadership, defence-sector AI strategy and responsible AI in NATO; documented in an FFI interview

AI for smart grids, energy optimisation, fault detection and wind-farm integration

Machine learning and AI methods in environmental analysis and climate-change mitigation research

Generative AI for local-scale climate information and explainable AI for climate prediction and attribution

Machine learning and data-driven decision support; AI research in e-health projects including mental health

AI and psychometrics in youth mental-health research, including risk and protective factors for suicidality

Doctoral research on AI-based patient matching and machine-learning prediction of psychotherapy outcomes

Norwegian language technology, NLP and machine learning

Sámi language technology

Sámi and indigenous-language technology, language tools and research on low-resource language technology in the age of machine learning

Co-authored research on large language models for Sámi and ultra-low-resource languages; documented contribution, not a claim of broad AI specialisation

Music technology, human–machine interaction and AI in creative practice; Director of MishMash

Machine learning for musical interaction and performance, including neural models for predicting performer actions

AI in music industries, creative-sector policy and digitalisation; deputy director of the Centre for AI and Creativity

Embodied interaction, human–AI co-creativity and shared control in interactive music performance

Doctoral research using machine learning to interpret physiological data in elite sport; documented AI work in sport and sport education

Machine-learning systems for sports performance analysis, including cross-country skiing and AI applications in football

Economics of education, educational inequality and causal policy evaluation. Adjacent expertise; direct AI specialisation has not been established by the sources reviewed.