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6. Socioeconomic and Environmental3 - Other

Democracy

The erosion of democratic processes and public trust in social/political institutions.

Source: MIT AI Risk Repositorymit1034

ENTITY

3 - Other

INTENT

3 - Other

TIMING

3 - Other

Risk ID

mit1034

Domain lineage

6. Socioeconomic and Environmental

262 mapped risks

6.0 > Socioeconomic & Environmental

Mitigation strategy

1. Establish Comprehensive Accountability and Liability Frameworks Implement clear legal and regulatory structures to ensure that AI developers and deployers can be held liable for foreseeable harms, particularly those related to political manipulation, electoral interference, and the erosion of public trust. This includes exploring clarifications to liability protections for generative AI systems to incentivize the exercise of reasonable care. 2. Enforce Mandatory Transparency and Content Provenance Standards Require AI developers and digital platforms to implement robust transparency measures, including mandatory watermarking or digital provenance standards for all AI-generated election and political content. Furthermore, mandate the public disclosure of generative AI model training data sources to counter misinformation and rebuild citizen trust in the information ecosystem. 3. Strengthen Governmental Capacity and Implement Adaptive Governance Increase investment in government capacity at all levels to recruit and train technical and non-technical AI talent. Simultaneously, implement dynamic and adaptive AI governance frameworks that enable proactive oversight, real-time auditing, and rapid policy adjustments to align AI development and deployment with fundamental democratic principles and societal values.