Making human–AI collaboration work where accountability matters
I’m interested in how organizations create value through artificial intelligence, digital transformation and innovation—with a particular focus on how technology and people work together.
Marisa Iversen
MSc Engineering (Industrial Economics & Technology Management – Indøk)· NTNU · 2026
What I work on
Where technology, business, and society meet.
Digital Transformation
Helping organizations create value through technology, people and processes.
Artificial Intelligence
Generative AI, LLMs, AI agents, and responsible adoption in organizations.
Human–AI Collaboration
Trust, augmentation, and how AI reshapes creative and knowledge work.
Innovation
Innovation, organizational learning, and how new technologies create value.
Enterprise Architecture
Aligning technology, business strategy, and organizational capability.
Software Engineering
Architecture, software quality, and AI-assisted development.
AI Governance & Ethics
Governance, accountability, ethics, and responsible AI adoption.
Public Sector
Digital services, innovation and organizational change in government.
Technology Strategy
Turning technology into practical solutions and measurable outcomes.
Accountability Over Convenience
How employees in Norwegian public organisations collaborate with generative AI in creativity and innovation. The research explores how trust, accountability and organisational context shape successful AI adoption.
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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Two Ways People Work with AI
Generative AI has quickly become part of everyday work. Yet not all collaboration looks the same. There are two dominant workflows, and the difference may seem subtle, but it has important consequences for accuracy and decision-making. The first workflow is treating AI as a specialist brought in for a specific assignment. You think first. The…
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The Hidden Cost of Trusting AI
There’s no shortage of advice about how to write better prompts. But I’ve started to think prompting isn’t the skill that will separate great AI users from average ones. Judgment is. One idea I’ve come across that really stuck with me is something researchers call the “Jagged AI Frontier”(https://mitsloan.mit.edu/ideas-made-to-matter/working-definitions/what-is-jagged-ai-frontier). It’s based on a simple observation:…
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Who Owns Work in the Age of AI?
Generative AI has blurred the line between tool and team member. When an engineer uses an AI agent to write 70% of a pull request, or a creative director uses generative models to construct a campaign’s core key art, a thorny question emerges: Who actually owns the work? Not legally, necessarily, but intellectually. For decades,…