AI arrives in a city through small decisions: a contract, a chatbot, a dashboard. The people who make those decisions, and the people who live with them, rarely have time to study the technology first. Yet the difference between a city that gains from AI and a city that drifts is made in exactly those decisions, and they are made better by people who understand what they are deciding.
The Lichtensteig AI Declaration, which the summit shapes in the open, says it in two principles. As AI becomes more capable, cities deliberately develop the human capacities needed for wise collective choices and invest in lifelong learning. And the time, attention and resources AI frees are reinvested in people's capabilities, prevention, care and participation: the AI dividend. Automation frees hours in a planning office or a call centre; the question is where those hours go. A city that spends part of them on learning keeps the judgement of its staff alive instead of handing it to the system, and gets residents who can read a public card about a system and ask the right question about it.
The Declaration asks AI to help a city hear more of its voices, above all those least heard today, and the Commitments propose a free AI agent for every resident. An agent is useful only to a person who knows what to ask it and what it may and may not do on their behalf. Learning is what turns a principle on paper into a voice in the room.
So this page belongs to the same work as the Declaration and the framework. The courses are made by others and are listed here because they are free and useful for a city. What a city does with them, together, is the point.