The DARE framework: a global model for responsible artificial intelligence (AI) deployment

Abstract The rapid global proliferation of Artificial Intelligence (AI) has created a profound paradox: while promising unprecedented productivity gains, its current trajectory exacerbates labor market polarization, deepens inequality, and threatens to fracture the 20th-century social contract. Current national and regional approaches to AI governance are often fragmented, focusing narrowly on industrial competition, piecemeal regulation, or abstract ethical principles. This paper argues that such disjointed strategies cannot manage the systemic socio-economic disruption ahead. It introduces the DARE Framework , a holistic, four-dimensional model for national AI strategy and international cooperation. DARE posits that responsible AI deployment requires the simultaneous and integrated development of D igital readiness, A dministrative governance, R esilience & ethics, and E conomic equity. Through a comparative analysis of pioneering AI strategies in Rwanda, the United Kingdom, the United States, China, and Australia, this paper demonstrates how the DARE framework can serve as both a diagnostic tool to identify national gaps and a prescriptive blueprint for building a more equitable, human-centric automated future. It concludes that adopting a DARE-inspired approach is not merely a policy option but a societal imperative for aligning technological advancement with the public good.