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6. Socioeconomic and Environmental2 - Post-deployment

Systemic Risks

In addition to risks stemming from the unreliability or misuse of general purpose AI models, further Systemic Risks can originate from the centralisation of general purpose AI development as well as the rapid integration of these models into our lives.

Source: MIT AI Risk Repositorymit844

ENTITY

3 - Other

INTENT

2 - Unintentional

TIMING

2 - Post-deployment

Risk ID

mit844

Domain lineage

6. Socioeconomic and Environmental

262 mapped risks

6.1 > Power centralization and unfair distribution of benefits

Mitigation strategy

Encourage and fund the development of safe, competitive open-source and "Public AI" models to structurally counter the economic and technological centralization of AI development in a limited number of private entities. Implement a balanced, multi-stakeholder governance framework that reallocates power and accountability across central government, local authorities, and non-state actors to ensure a more equitable distribution of benefits and control. Establish regulatory and economic incentive designs that explicitly prioritize the broad societal distribution of AI-derived prosperity and value alignment over narrow profit maximization for developers and owners.