2.9 KiB
2.9 KiB
| type | domain | description | confidence | source | created | secondary_domains | |
|---|---|---|---|---|---|---|---|
| claim | ai-alignment | UK research strategy identifies human agency, security, privacy, transparency, fairness, value alignment, and accountability as non-negotiable trust requirements | experimental | UK AI for CI Research Network, Artificial Intelligence for Collective Intelligence: A National-Scale Research Strategy (2024) | 2026-03-11 |
|
National-scale collective intelligence infrastructure requires seven trust properties as foundational architecture
The UK AI4CI research strategy identifies seven trust properties as structural requirements for collective intelligence systems operating at national scale:
- Human agency — systems must preserve meaningful human decision-making capacity
- Security — protection against adversarial attacks and system compromise
- Privacy — data protection that enables participation without surveillance risk
- Transparency — legible system behavior and decision processes
- Fairness — equitable treatment across demographic groups
- Value alignment — incorporation of user values rather than imposed priorities
- Accountability — clear responsibility chains for system outcomes
These are not aspirational goals but foundational requirements. The strategy frames them as prerequisites for establishing "appropriate infrastructure in a way that is secure, well-governed and sustainable" at scale.
The emphasis on "user values" rather than predetermined priorities suggests these systems must be pluralistic by design — accommodating diverse values simultaneously rather than converging on a single aligned state.
Evidence
From the UK national research strategy:
- Seven trust properties explicitly listed as infrastructure requirements
- Systems must incorporate "user values" rather than imposing predetermined priorities
- AI agents must "consider and communicate broader collective implications"
- Scale brings challenges in "establishing and managing appropriate infrastructure in a way that is secure, well-governed and sustainable"
Infrastructure Implications
The strategy specifies required infrastructure across two dimensions:
Technical:
- Secure data repositories
- Federated learning architectures
- Real-time integration capabilities
- Foundation models
Governance:
- FAIR principles (Findable, Accessible, Interoperable, Reusable)
- Trustworthiness assessment frameworks
- Regulatory sandboxes for experimentation
- Trans-national governance coordination
Relevant Notes:
- pluralistic alignment must accommodate irreducibly diverse values simultaneously rather than converging on a single aligned state
- safe AI development requires building alignment mechanisms before scaling capability
- foundations/collective-intelligence/_map
Topics:
- domains/ai-alignment/_map
- foundations/collective-intelligence/_map