Making human–AI collaboration work where accountability matters
I’m Marisa — an MSc Engineer from NTNU researching how people and AI create, innovate, and stay accountable together.
Marisa Iversen
Sivilingeniør (Indøk); MSc Engineering · NTNU · 2026
What I work on
Where technology, business, and society meet.
Artificial Intelligence
Generative AI, LLMs, and agents — and responsible enterprise adoption.
Human–AI Collaboration
Trust, augmentation, and how AI reshapes creative and knowledge work.
Innovation
Public-sector innovation, experimentation, and organisational learning.
Enterprise Architecture
Aligning technology, strategy, and business capability.
Software Engineering
Architecture, software quality, and AI-assisted development.
AI in Society
Ethics, regulation, and the future of work in public administration.
International Business Development
Cross-border strategy and partnerships between the Nordics and Southeast Asia.
Norway–Thailand Market Access
New opportunities for Norwegian and Thai companies as the EFTA–Thailand free trade agreement opens both markets.
Trade & Technology Strategy
Technology transfer, sustainability standards, and competitiveness in international trade
Research and Advisory for Teams putting AI and Strategy to Work
Alongside my own research, I take on part-time research projects with companies — bringing evidence-based analysis to real questions in AI, innovation, and strategy. If your team is trying to adopt AI well, weigh a technology decision, or understand a market, I can help you think it through rigorously.
AI adoption & human–AI collaboration
Introducing AI so teams genuinely benefit — responsibly, and with trust.
Technology & innovation strategy
Evidence-based analysis for platform, product, and innovation decisions.
Market & business development
Cross-border strategy and partnerships between the Nordics and Southeast Asia.
Accountability Over Convenience
How public servants and generative AI collaborate in creativity and innovation — based on 13 interviews across three Norwegian public organisations.
Assistant
AI for delegated, low-autonomy tasks under close human control.
Collaborator
Deep engagement and co-creation, producing more advanced innovation.
Critic
AI output treated as material to interrogate, not accept
“Responsibility for institutional decisions cannot be delegated to AI — and that sets a real ceiling on autonomy, regardless of how capable or trusted the system is.”
Latest articles
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Accountability Over Convenience: How Public Servants Actually Collaborate With AI
Artificial intelligence is becoming part of everyday work faster than most organisations can absorb it. In the public sector, employees are already using generative AI to draft documents, summarise reports, generate ideas, and support decisions. But a question sits underneath all of that activity, and it rarely gets asked directly: when a public servant sits…
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What does KI Norge tell us about Norway’s AI strategy?
The launch of KI Norge marks an important milestone in Norway’s efforts to support the responsible adoption of artificial intelligence. Designed as a national resource for artificial intelligence, the initiative aims to help organizations, businesses, and individuals build AI competence and make better use of the technology in practice. At first glance, this might seem…
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Leading Human-AI Collaboration
Artificial intelligence is rapidly becoming part of everyday work. Employees use it to write reports, analyze information, generate ideas, and support decision-making. Yet many organizations are still struggling with a fundamental question: How can leaders capture the benefits of AI while maintaining quality, accountability, and trust? As part of my master’s thesis, I examined how…