Seoul AI Foundation and University of Cambridge to Develop 'Public Sector AI Diagnosis' Model

Diagnosis Model for Public Sector AI Adoption and Utilization
Pilot Assessment Targeting Local Governments and Public Institutions
Evaluation of Governance, Infrastructure, and More for AI Utilization

The Seoul AI Foundation announced on the 15th that it will collaborate with the IfM Centre at the University of Cambridge in the United Kingdom to establish a “Public Sector AI Adoption and Utilization Diagnosis Model.” This initiative aims to systematically assess the level of adoption and utilization of artificial intelligence (AI) in the public sector.

The IfM Centre at the University of Cambridge is a specialized research institute focused on innovation strategies in technology, policy, and management. Based on its expertise in carrying out technology innovation and policy capacity-building projects for global companies and governments, the center has verified the foundation’s public sector AI status diagnosis model.

Public Sector AI Status Diagnosis Homepage. Seoul AI Foundation

This project is being promoted to establish a policy framework that strengthens public interest and social value through AI utilization. Recently, the government has actively pursued public AI transformation policies, such as including AI utilization performance in public institution management evaluations, designating leading institutions for AI utilization, and incorporating AI adoption and utilization indicators into data-driven administration assessments.

The foundation analyzed 17 domestic and international AI indexes to build a diagnosis system tailored to the unique characteristics and policy environment of the domestic public sector. The focus was on developing a model that comprehensively examines institutional and organizational foundations for successful AI utilization, as well as infrastructure, services, accountability, and policy connectivity.

The diagnosis model consists of four main domains—governance, infrastructure, service, and alignment—as well as 10 subcategories and 32 detailed indicators. While organizational AI transformation typically focuses on internal process efficiency, AI utilization in the public sector is characterized by encompassing not only internal organizational improvements, but also services directly provided to citizens and the creation of industry and ecosystem frameworks.

The foundation refined the structure and indicators of the diagnosis model by gradually incorporating feedback from domestic AI and digital policy experts. Taking into account the current level of AI utilization and field conditions in the public sector, the model was further improved to enhance practical applicability and the effectiveness of diagnostic results. Notably, the model developed by the foundation gained international credibility as IfM Engage at the University of Cambridge participated in its validation process. The IfM Engage research team reviewed whether the model aligns with global discourse, and conducted a comprehensive analysis of its structural validity and indicator system.

Kim Manki, Chairman of the Seoul AI Foundation, stated, “With the development of this diagnosis model, the foundation will establish a public AI ecosystem that leads from diagnosis to innovation through collaboration with AI experts and companies via the ‘Seoul AI Platform.’ Based on AI utilization in the public sector, we will take the lead in realizing Seoul as an ‘AI City’ that attracts global attention.”

This content was produced with the assistance of AI translation services.