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6. Socioeconomic and Environmental2 - Post-deployment

Inequality of wealth

Because a single human actor controlling an artificially intelligent agent will be able to harness greater power than a single human actor, this may create inequalities of wealth

Source: MIT AI Risk Repositorymit114

ENTITY

1 - Human

INTENT

1 - Intentional

TIMING

2 - Post-deployment

Risk ID

mit114

Domain lineage

6. Socioeconomic and Environmental

262 mapped risks

6.2 > Increased inequality and decline in employment quality

Mitigation strategy

1. Predistributive Economic Policy and Capital Access: Implement proactive economic policies focused on "predistribution" to broaden access to the income-generating resources of the AI economy, specifically by investing in productive capital (e.g., accessible AI tools and computing infrastructure) and human capital (e.g., technical upskilling) to diffuse the power of AI beyond a single actor. 2. Progressive Fiscal and Wealth Redistribution Mechanisms: Institute progressive taxation, particularly on capital returns and extreme wealth accumulated via AI-driven productivity gains, to fund comprehensive social safety nets, universal basic income considerations, and extensive worker reskilling initiatives, thereby mitigating the resultant wealth concentration. 3. Mandate Inclusive AI Governance and Development: Establish stringent regulatory and ethical governance frameworks that require developers to ensure AI systems are trained on diverse datasets and targeted toward measurable societal challenges (Prosocial AI), and promote international collaboration to ensure low- and middle-income countries have the infrastructure and skilled workforce to harness AI benefits, preventing global inequality.