The findings highlight that while diplomatic initiative and coalition-building can partially offset algorithmic weaknesses, long-term influence in an increasingly data-driven climate regime requires targeted investments in climate data systems, AI literacy, modelling institutions, and equitable international digital cooperation.
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
This study examines the Department of Government Efficiency (DOGE) as a case of algorithmic governance whose stated purpose, improving federal efficiency, diverged systematically from its operational effect: enabling unprecedented private‐sector access to federal data systems while dismantling the oversight and civil...
Haris Alibašić· PAR. Public Administration R...· 0 citations
The findings suggest that ensuring the ethical use of AI in public administration depends not only on technological solutions but also on digital literacy and the development of a hybrid governance ecosystem that integrates regulatory frameworks, technical auditing mechanisms, and mandatory human oversight (human-in-th...
A quantifiable multi‐stakeholder governance framework and actionable policy insights for China and the Global South are offered and econometric evidence from difference‐in‐differences, threshold regressions, and spatial econometric models robustly addresses concerns about AI.
Zhuo-Cheng Lu, Fei Fan, Zhen-Nan Yang et al.· Public Administration· 0 citations
Artificial intelligence (AI) has the potential to raise productivity, strengthen medium‑term growth, and support economic diversification across the Middle East, North Africa, Afghanistan, and Pakistan (MENAP) and the Caucasus and Central Asia (CCA). However, prospective gains are uneven, reflecting substantial cross‑c...
