Samjong KPMG Targets Public-Sector AI Transformation Market, Recruits Specialists

Beyond AI Adoption: Assessing Personal Data Protection and Administrative Accountability

Samjong KPMG is recruiting specialists and expanding its consulting business to meet demand from the government and public institutions for artificial intelligence (AI) transformation.

Its plan is to combine its existing consulting capabilities in strategy, work processes, data, and technology with newly acquired expertise in public policy and institutional analysis.

Samjong KPMG

On November 12, a Samjong KPMG official said, "We are expanding our public-sector AI transformation (AX) consulting services beyond simply introducing AI technology or developing system implementation strategies. The services link the identification of work areas for AI application and innovation initiatives, data utilization strategies, and technical implementation plans such as AI model infrastructure with reviews of legal, institutional, and security risks, investment budget planning, and phased implementation roadmaps."

To that end, Samjong KPMG has recruited professionals from other consulting firms with experience developing AI and data strategies and business strategies for public institutions, as well as experts from law firms with experience reviewing technical feasibility and analyzing public-sector institutions.

The firm also stressed that public institutions need to take a different approach to AI adoption than private companies. While using AI in administrative work can improve efficiency, it can also affect the rights and obligations of the public. Therefore, institutions must consider not only the technology's accuracy but also legal liability and the protection of personal information.

Jongwon Choi, a managing director and public-sector AX leader at Samjong KPMG, said, "Public institutions must consider not only work efficiency but also the impact on people's rights and obligations, the protection of state secrets and personal information, data accuracy and timeliness, AI hallucinations and bias, and inclusivity for digitally vulnerable groups, while meeting the unique requirements and high standards of accountability in the public sector."

In particular, when AI agents are connected to administrative systems and begin performing actual work beyond retrieving information, it becomes important to clearly distinguish their authority and responsibility. Even if AI can technically handle a task, institutions must separately assess whether it can be granted the administrative authority to perform it, he explained.

Choi said, "Public-sector AX is a process of designing administrative innovation by taking a comprehensive approach to public-sector work, data, technology, institutions, and accountability frameworks. We will support the government and public institutions in ensuring that AX leads to tangible work innovation and improvements in public services that people can experience."

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