Readiness of Slovenian public administration for artificial intelligence: case of state administration bodiesJeram, Rok (Avtor) Aristovnik, Aleksander (Mentor) Tomaževič, Nina (Komentor) umetna inteligencapripravljenost na UIjavna upravadržavna upravamešane metodeThe Slovenian public administration has adopted Artificial Intelligence (AI) strategies, yet its operational readiness for AI adoption remains uncertain. This thesis assessed AI readiness within Slovenia’s state administration bodies and aimed to synthesise established frameworks into a multi-dimensional readiness profile, identify key gaps and barriers, and contextualise Slovenia internationally through comparison with selected countries. A mixed-methods research strategy with a convergent parallel design was employed, combining a quantitative structured survey of the heads of state administration bodies with qualitative analysis of open-ended responses and relevant strategic documents. This design provided measurable insights alongside an in-depth contextual understanding of AI readiness. Findings indicated a moderate yet imbalanced level of readiness, creating a willing but unable posture. A supportive organisational culture with a high willingness to innovate was undermined by pronounced deficiencies in key capabilities, notably technological infrastructure, workforce skills, and clear strategic as well as legal-regulatory guidance. No statistically significant differences in overall AI readiness were found between types of state administration bodies, suggesting that challenges were systemic and widespread. International benchmarking showed that Slovenia remained mid-pack and behind the frontrunners, with the 2019–2024 trend mixed rather than steadily improving. In practical terms, the study underscores the need for a co-ordinated, whole-of-government approach. It recommends centralised initiatives, such as shared technical infrastructure, targeted training programmes, and clear regulatory guidance in order to bridge readiness gaps efficiently and enable consistent, effective AI adoption across the public sector.[R. Jeram]20262026-02-11 12:50:12Magistrsko delo/naloga179342sl