A space for exploring AI governance, trust, and the real-world implications shaping how we work with this technology.
Long-form thinking about AI governance, risk, and the systems that shape our relationship with this technology.
There is a version of the AI-and-work story that goes like this: AI automates routine tasks, freeing human workers to focus on higher-value, more creative, more meaningful work. It is a tidy narrative. And it is not entirely wrong. But it leaves out something important about what happens to the work that remains.
Klarna's story isn't only about whether AI can handle support. It shows how goals and incentives reshape the work humans are asked to do, and what quietly erodes when that restructuring goes wrong.
For years, product management has been described as the "mini-CEO" role within technology companies. Strategic and cross-functional, responsible for direction but rarely endowed with formal authority. It is a coordination-heavy occupation sitting at the intersection of engineering, design and business.
Proactive design strategies for safer AI systems that prioritise children's rights, privacy, and well-being in education, entertainment, and digital contexts.
Proactive approaches to AI safety—bias mitigation, value alignment, risk assessment—from ideation through deployment and monitoring.
How AI governance frameworks are implemented in real-world settings, bridging theory and practice to uphold ethical principles whilst fostering innovation.
Working with teams on real AI decisions
AI risk reviews, responsible AI implementation, and governance support for teams building or adopting AI in practice.