TIM-7074 v1

Hofmann, P., Meierhöfer, S., Müller, L., & Kolb, J. (2025). Conceptualizing the design space of artificial intelligence strategy: A taxonomy and corresponding clusters. Business & Information Systems Engineering. https://doi.org/10.1007/s12599-025-00941-7

• This study introduces a comprehensive taxonomy outlining 15 dimensions and 45 characteristics that organizations can utilize to structure and implement effective AI strategies, addressing challenges related to autonomy, learning, and complexity.

Allen, D., Hubbard, S., Lim, W., & Sison, A. J. G. (2025). A roadmap for governing AI: Technology governance and power-sharing liberalism. AI and Ethics. https://doi.org/10.1007/s43681-024-00635-y

• This paper proposes a proactive governance framework for AI, emphasizing democratic stability and economic empowerment through a philosophy termed "Power-Sharing Liberalism," aiming to advance human flourishing in the AI era.

Sioumalas-Christodoulou, K., & Tympas, A. (2025). AI metrics and policymaking: Assumptions and challenges in the shaping of AI. AI & Society. https://doi.org/10.1007/s00146-025-02181-5

• This article examines the alignment between global AI metrics and national AI strategies, highlighting the need for evaluation frameworks that incorporate ethical and societal considerations alongside technical and economic factors.

Sheikh, H., Prins, C., Schrijvers, E. (2023). Policy for AI as a System Technology. In: Mission AI. Research for Policy. Springer, Cham. https://doi.org/10.1007/978-3-031-21448-6_10

• This chapter discusses the necessity of developing integrated AI diplomacy strategies, focusing on international cooperation, standardization, and safeguarding national interests in the evolving AI landscape.

van Noordt, C., Medaglia, R., & Tangi, L. (2023). Policy initiatives for Artificial Intelligence-enabled government: An analysis of national strategies in Europe. Public Policy and Administration, 40 (2), 215-253. https://doi.org/10.1177/09520767231198411 (Original work published 2025)

• This article analyzes national AI strategies, focusing on policy initiatives aimed at enhancing data infrastructure and governance in public administrations.

Eichholz, L. (2025). Municipal AI integration: A structured approach. Frontiers in Urban and Rural Planning, 3, 6. https://doi.org/10.1007/s44243-025-00056-3

• This study presents an eight-phase framework for implementing AI in municipal governance, emphasizing iterative experimentation and risk awareness tailored to municipal contexts.