Ethical Risks (Risks of challenging traditional social order)

Mitigation strategy

1. Implement a Human-Centric Control System Establish regulatory and organizational mandates requiring human-in-the-loop oversight with clear, final decision-making authority at all critical stages of AI deployment that impact employment, education, and social welfare, thereby explicitly preserving human agency and accountability over the outcomes that shape social order. 2. Institute Proactive Labor Market and Educational Adaptation Policies Develop and fund large-scale national and international programs for workforce reskilling, continuous education, and transitional social support mechanisms to directly address the economic and social destabilization predicted from AI-driven labor market polarization and the diminishing value of traditional labor. 3. Enforce Trustworthy AI Governance and Ethical Auditing Mandate the adoption of formal, comprehensive AI governance frameworks that require ongoing, rigorous auditing for the ethical principles of fairness, transparency, and accountability across all high-impact social applications. This is necessary to pre-empt the development and deployment of biased or opaque systems that could otherwise erode public trust and challenge social stability.