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6. Socioeconomic and Environmental2 - Post-deployment

Inequality and precarity

Amplifying social and economic inequality, or precarious or low-quality work

Source: MIT AI Risk Repositorymit282

ENTITY

1 - Human

INTENT

2 - Unintentional

TIMING

2 - Post-deployment

Risk ID

mit282

Domain lineage

6. Socioeconomic and Environmental

262 mapped risks

6.2 > Increased inequality and decline in employment quality

Mitigation strategy

1. Implement proactive public policy and regulatory frameworks that ensure AI's economic gains are broadly distributed (e.g., through progressive taxation, strengthening social safety nets, and regulating against AI monopolies) to structurally prevent the concentration of wealth and power, which exacerbates inequality. 2. Establish mandatory and accessible national upskilling and reskilling initiatives, supported by both government and employer investment (e.g., worker retraining accounts), to equip vulnerable workers for higher-value, complementary roles and to bridge the digital skills divide. 3. Mandate enhanced worker rights and corporate accountability through measures such as strengthening worker voice in AI design and deployment, clarifying independent contractor rules to ensure fair benefits, and requiring employer transparency and fair compensation/severance for AI-driven job redesign or displacement.

ADDITIONAL EVIDENCE

Example: Lower pay and precarious conditions for creative professionals (e.g. illustrators or sound designers) (Zhou, 2023)*