Transformative effects

Mitigation strategy

1. **Prioritize the establishment and rigorous enforcement of multi-stakeholder AI governance frameworks** that embed democratic values, human rights, and individual privacy. This must include procedural safeguards, transparency requirements, and accountability mechanisms to proactively prevent the weaponization of EAI systems for mass surveillance and autocratic state control, thereby mitigating governance failure. 2. **Implement mandatory transparency and corporate accountability standards** for AI systems, particularly those with significant societal impact. This entails requiring the public disclosure of generative AI training data sources, establishing content provenance standards (e.g., watermarking), and clarifying legal liability for developers and deployers to address foreseeable harms such as political manipulation or the abusive use of surveillance capabilities. 3. **Invest systematically in governmental and civil society capacity-building** to manage the pace of technological change. Governments must secure diverse AI talent and establish advisory structures to inform policy, while civil society must be empowered with resources and education to strategically use AI for democratic resilience and effectively monitor and resist digital authoritarian influence in international norm-setting fora.