Resources

Things worth reading and listening to

The core focus of my thesis and this site — how public institutions and organizations can adopt AI responsibly, where accountability cannot be delegated.

A short, curated list of the books, research, and podcasts I keep coming back to on human–AI collaboration, innovation, and technology strategy. Updated as I find things worth sharing.

AI in the public sector

  • National Strategy for Artificial Intelligence — Norwegian Government (Regjeringen) · Norway’s national AI strategy: ethical principles, privacy, and public-sector adoption. [Norsk/English]
  • Regulatory Sandbox for AI — Datatilsynet (Norwegian Data Protection Authority) · A supervised environment where organisations develop responsible, privacy-compliant AI — directly relevant to accountable public-sector use. [Norsk/English]
  • Observatory of Public Sector Innovation (OPSI) — AI — OECD · Research and cases on how governments actually use AI.
  • AI Watch — European Commission (JRC) · Tracks AI strategy and public-sector AI across Europe, including Norway.
  • Public Policy Programme — The Alan Turing Institute · Research on data science and AI for government and public services.
  • Foundational academic reading (in the thesis references): Berman et al. (2024) on documented accountability gaps in public-sector AI (the Swedish “BÄR” case); Yuan & Chen on AI in public decision-making.

Books

  • Co-Intelligence: Living and Working with AI — Ethan Mollick · Practical, evidence-minded guide to working with AI rather than being replaced by it.
  • Human + Machine: Reimagining Work in the Age of AI — Paul R. Daugherty & H. James Wilson · The augmentation case: AI that complements people instead of replacing them.
  • Prediction Machines: The Simple Economics of Artificial Intelligence — Agrawal, Gans & Goldfarb · AI reframed as cheap prediction — a clear economic lens for strategy.
  • The Innovator’s Dilemma — Clayton M. Christensen · The classic on why capable organisations struggle with disruptive change.
  • Atlas of AI — Kate Crawford · The material, political, and human costs behind AI systems — a grounding counterweight to hype.
  • The Progress Principle — Teresa Amabile & Steven Kramer · Evidence on what drives creativity and motivation at work (Amabile’s creativity research underpins my thesis).

Research & reports

  • AI Index Report — Stanford HAI (annual; 2026 edition) · The most comprehensive data on AI progress, adoption, and societal impact.
  • The State of AI — McKinsey (annual global survey) · How organisations are actually adopting AI, and where value shows up.
  • Global AI Diffusion — Q1 2026 Trends and Insights — Microsoft AI Economy Institute · Fresh data on how AI adoption is spreading across the economy.
  • MIT Sloan Management Review — Artificial Intelligence · Accessible, management-focused research on AI in practice. /
  • OECD AI Policy Observatory · Cross-country AI policy, data, and the OECD AI Principles.
  • The EU AI Act · The EU’s risk-based AI regulation — essential context for public-sector and enterprise adoption.
  • KI Norge (Digdir) · Norway’s national arena for responsible AI (guidance, guides, regulatory sandbox). [Norsk]
  • NORA — Norwegian AI Research Consortium · A 17-partner consortium of Norwegian universities, university colleges, and research institutes strengthening AI research, education, and innovation. [Norsk and English]

Podcasts and Youtube

  • Hard Fork (Kevin Roose & Casey Newton, NYT) · AI and tech news for a smart general audience.
  • Lex Fridman Podcast · Long-form conversations with leading AI researchers and builders.
  • No Priors · AI, startups, and where the technology is heading.
  • The Ezra Klein Show · Thoughtful episodes on AI’s societal and political implications.
  • Kunstig intelligens med Elisabeth, Maren og Morten (CAIR, Universitetet i Agder) · A research-grounded Norwegian podcast on all things AI. [Norsk]