AI Futures
A multi-part project: an analysis of the current AI system, and a vision for AI as public utility. Part 1 and Part 2 are live now; more parts join this lineage later.
Provocations made concrete: tools, maps, and field work you can open and pull apart. Some are live, some are still deploying.
A multi-part project: an analysis of the current AI system, and a vision for AI as public utility. Part 1 and Part 2 are live now; more parts join this lineage later.
A browsable set of 298 facilitation, systems, and futures methods, the same kit used to design every Paxterra session.
A living map of the AI debate: forty-plus sources a week, each voice plotted on belief against concern, so you can watch the conversation move.
A strategic map of the responsible-AI field (regulation, frameworks, corporate practice, with a Sweden lens), paired with a risk canvas for running it with a team.
AI risks laid out by time horizon and reversibility, so a near-term nuisance and a slow irreversible one stop getting argued about in the same breath.
The full working map behind AI Futures: eighteen loops of compute, capital, talent, labour and governance, drawn with Omidyar's Systems Practice and Meadows' leverage points. Hover a node to trace the system for yourself.
A learning commons for people building on the emerging loop, connecting scattered pioneers into a community of practice rather than another course to sit through.
The work that ran in place of the AI Horizons cohort: a landscape, a risk canvas, and the sessions to sit a team down with them.
A lightweight hub connecting live funding calls to the people who need them, built for a client network as the smallest thing that tests the behaviour before anything heavier.
Three months, nineteen stakeholder interviews, a systems synthesis, and a prioritisation tool the leadership team used to pick its next bets, then kept.
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