Report by the Asia Society: “…surfaced nine factors that define the conditions that national strategies must get right to enable responsible and rapid AI adoption: trusted datasets, AI infrastructure, AI skills and awareness, global AI value chain leverage, ethical AI development, misinformation governance, AI governance frameworks and institutions, environmental sustainability, and cybersecurity. Each factor represents a domain in which the absence of measurable progress creates conditions that can stall adoption, erode public confidence, or concentrate power in ways that undermine the broader ecosystem. The following sections elaborate on each metric. The discussion is grounded in both policy analysis and stakeholder consultations, so that policymakers can identify where the most significant trust gaps lie.
The metrics proposed here are not yet available as standardized, comparable data across Asian economies. However, the policy analysis and stakeholder consultations reveal consistent patterns in legislation, governance commitments, institutional design, and stated priorities, providing a foundation from which measurement frameworks can be built. The value of naming these metrics lies precisely in making that construction a shared and deliberate project, rather than leaving it to occur ad hoc…(More)”.
