Domain II — Artificial intelligence
Intelligence in service of human agency, not in place of it.
AI is reshaping work, knowledge, and power at unprecedented speed. Whether it concentrates that power or broadens human capability is a question of ownership, design, and intention — not a technical inevitability.
Why now
The most consequential technology of our lifetimes deserves considered stewardship.
AI systems are being deployed at civilisational scale before their implications are widely understood. The decisions being made now — about who builds these systems, who benefits, and who is accountable — will shape decades to come.
CAISCEN does not treat AI as either salvation or threat. We treat it as a domain that requires patience, cross-disciplinary judgement, and the courage to ask uncomfortable questions early.
Concerns we take seriously
Risk, incentive, and concentration.
Concentration of power
A small number of firms are shaping the infrastructure of intelligence. This is a governance question, not merely a competitive one.
Erosion of judgement
Convenience can hollow out the very capabilities — attention, judgement, craft — that make human agency meaningful.
Extractive deployment
AI can accelerate extraction — of data, of labour, of ecological resources — unless deliberately shaped otherwise.
Public interest gap
Most alignment work happens inside the firms building the systems. Independent, publicly accountable capacity is thin.
Risk / Possibility
The same technology, held two different ways.
If left unchecked
- — Concentration of capability inside a handful of firms
- — Erosion of judgement through frictionless convenience
- — Accelerated extraction of data, labour, and attention
- — Public-interest capacity thins to almost nothing
If shaped with intent
- — Broader access to specialist expertise
- — Support for co-operative coordination at scale
- — Modelling of ecological systems for regenerative work
- — Human attention freed for what only humans can do
Questions we are exploring
What does AI in the public interest actually look like?
- 01
What forms of ownership and governance would keep AI accountable to the public?
- 02
How can AI strengthen — rather than erode — the judgement of practitioners who use it?
- 03
What safety practices belong outside the firms building frontier models?
- 04
How do we prevent the gains of AI from being privately captured?
- 05
What role can co-operatives play in shaping open, shared AI infrastructure?
- 06
How do we hold both the risks and the possibilities without collapsing into hype or fear?
Related resources
Organisations shaping this field
Center for Humane Technology
Reframing technology's role in society — with a focus on aligning digital systems with human wellbeing.
Future of Life Institute
Research and policy work on the long-term impacts of transformative technologies, particularly AI safety.
Think through ethical AI with practitioners across fields.
Working notes, recorded conversations, and cross-domain discussion for people taking these questions seriously.