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6. Socioeconomic and Environmental2 - Post-deployment

Labor and Creativity

Economic incentives to augment and not automate human labor, thought, and creativity should examine the ongoing effects generative AI systems have on skills, jobs, and the labor market.

Source: MIT AI Risk Repositorymit177

ENTITY

1 - Human

INTENT

1 - Intentional

TIMING

2 - Post-deployment

Risk ID

mit177

Domain lineage

6. Socioeconomic and Environmental

262 mapped risks

6.3 > Economic and cultural devaluation of human effort

Mitigation strategy

1. Establish policy and fiscal mechanisms, such as tax credits for responsible AI development and human capital expenditure reforms, to create an economic bias favoring labor-augmenting applications over job-substituting automation. 2. Implement comprehensive, large-scale workforce upskilling and reskilling initiatives to provide workers with the competencies necessary for human-AI collaboration and transition into augmented roles, thereby mitigating skill polarization and job displacement. 3. Require organizational guidelines for the deployment of generative AI that mandate job redesign and task reallocation, ensuring the technology complements and elevates human capabilities (e.g., critical thinking and creativity) rather than devaluing or replacing them.