AI Ownership
Risk Factor
AI Ownership
Model RoleRoot Factor (AI System)
CharacterDistribution factor
Key DimensionsCountries, Companies, Shareholders
Related
Parameters
Overview
Section titled “Overview”AI Ownership refers to who controls the most powerful AI systems and their outputs. Concentration among a few companies, countries, or individuals creates different risks than broad distribution. Ownership structure shapes incentives, accountability, and the distribution of AI benefits.
For interactive exploration of how AI Ownership relates to other factors, see the AI Transition Model Graph.
Key Dimensions
Section titled “Key Dimensions”Relationship to Scenarios
Section titled “Relationship to Scenarios”AI Ownership primarily affects Long-term Lock-in scenarios:
- Concentrated ownership shapes what values and power structures get entrenched
- Ownership patterns determine accountability and reversibility
- Distribution of AI benefits affects social stability
Also affects:
- AI Takeover: Concentrated ownership could help or hurt depending on the actor
- Human-Caused Catastrophe: Depends on who controls AI and their intentions
Key Debates
Section titled “Key Debates”| Debate | Question |
|---|---|
| Concentration effects | Is AI lab concentration good (easier to regulate) or bad (single points of failure)? |
| Profit vs safety | Can profit-motivated companies be trusted with AI safety? |
| Open source role | Does open source AI democratize capability or make dangerous systems accessible? |
| US-China dynamics | Is competition inevitable, or can cooperation emerge? |
See Also
Section titled “See Also”- Long-term Lock-in - Primary outcome affected
- Concentration of Power - Related risk
- AI Transition Model - Interactive graph showing relationships