This policy note highlights two primary gaps in the current AI landscape: an advancement gap—where technological capabilities evolve faster than institutional capacity to govern them—and a participation gap, where communities most affected by AI lack influence over its development.
Abstract
Artificial intelligence (AI) has rapidly transformed from a specialized technology into a general-purpose infrastructure that reshapes economies, public institutions, and daily life. This policy note highlights two primary gaps in the current AI landscape: an advancement gap—where technological capabilities evolve faster than institutional capacity to govern them—and a participation gap, where communities most affected by AI lack influence over its development. It outlines seven interconnected global challenges, divided into surface challenges (Societal Applications, Economic Impacts, and Security and Peace) and underlying structural challenges (Human Rights, Governance and the Rule of Law, Technical Robustness and Reliability, and Environmental Impacts). The document argues that AI cannot be managed through isolated, reactive risk controls, calling instead for an inclusive, evidence-based, and anticipatory global governance framework.
This paper provides a critical review of AI assurance initiatives, examining established frameworks such as the NIST AI Risk Management Framework, global guidance including the OECD and G7 AI toolkits, practitioner-facing resources, and representative research-led approaches.
Anita Khadka, C. Maple· Artificial Intelligence Revi...· 0 citations
While artificial intelligence (AI) holds transformative potential for developing economies, significant structural barriers impede its successful adoption across Africa, Latin America, and Asia. As of 2023, only 30 per cent of developing nations have established AI regulations, a regulatory gap compounded by deficient...
Carolina Hedman· Journal of AI, Robotics &...· 0 citations
The study employs a PRISMA-guided systematic literature review of peer-reviewed studies to suggest that AI enhances diplomatic processes by supporting data-driven decision-making, improving negotiation strategies through predictive analytics, and strengthening crisis response capabilities.
Dogan S. Polat, Hakan Aydın· Sustainability· 0 citations
States and firms that build powerful artificial intelligence (AI) should not be the only actors defining the conditions for its global deployment. AI rule-making power must reflect exposure. Across jurisdictions, AI-exposed societies struggle to govern the deployment of AI applications. Global AI governance, however, r...
D. Gao· International Journal of Dig...· 0 citations
The rapid rise of Artificial Intelligence (AI) and its increasing influence on many industries mean that its implications for achieving the Sustainable Development Goals (SDGs) must be considered carefully. Using a consensus-based expert elicitation method, we discover that AI could support the attainment of 134 target...
E. Hasanin, Abdullah K. Al-karawi, Ifunanya Cynthia Anaelom· Journal of Societal Sustaina...· 0 citations
This paper argues that most responsible AI (RAI) governance frameworks do not meaningfully address AI’s environmental and social costs, and proposes the concept of critical AI governance, which rests on three overarching principles: critically questioning dominant ideologies and economic imperatives, prioritizing socia...
Paul Schuetze, B. Brevini· AI & SOCIETY· 0 citations
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