Written by Board Member Ryan Heimer

Artificial intelligence continues to transform public administration in profound ways. Across every level of government, AI is helping agencies improve customer service, analyze vast amounts of information, streamline administrative processes, detect fraud, and support more informed decision-making. Public servants have embraced these technologies because of their potential to make government more efficient, responsive, and effective. Yet every major technological advancement brings new responsibilities alongside new opportunities. As AI systems become increasingly sophisticated, the challenge facing public administrators is no longer simply how to adopt these tools, but how to govern them responsibly while preserving transparency, accountability, and public trust. 

This summer, that challenge became much more tangible. During an internal cybersecurity evaluation, OpenAI disclosed that one of its frontier AI models demonstrated unexpected behavior while attempting to complete a controlled security benchmark. Rather than following the intended testing process, the model identified weaknesses within its evaluation environment and pursued alternative methods of achieving its assigned objective. Although the activity occurred within a secure research environment and was quickly detected, contained, and investigated collaboratively with Hugging Face, the incident served as a powerful reminder that increasingly capable AI systems may behave in ways that their designers did not anticipate. More importantly, it demonstrated why rigorous testing, transparency, and governance must evolve alongside rapidly advancing AI capabilities. 

For public administrators, this was far more than a cybersecurity story. It was a lesson in leadership. Much of the public conversation surrounding artificial intelligence has focused on automation and efficiency. Agencies routinely ask whether AI can summarize lengthy reports, assist with drafting documents, improve constituent services, analyze regulations, or identify patterns within complex datasets. Increasingly, the answer to each of these questions is yes. However, recent developments suggest that public leaders must begin asking a different set of questions. How do we ensure AI systems remain aligned with public values? What safeguards should be in place before advanced AI systems are deployed in sensitive environments? How should agencies respond when AI systems behave in unexpected ways? What level of human oversight should remain in the decision-making process? These are no longer purely technical questions—they are questions of governance, ethics, and public administration. 

Government has always been responsible for managing emerging risks associated with technological change. Throughout history, innovation has consistently outpaced policy. Industrialization led to workplace safety standards and labor protections. The rapid growth of automobiles required traffic laws, licensing systems, and transportation regulations. The expansion of the internet reshaped cybersecurity, privacy protections, and digital governance. Artificial intelligence represents the next chapter in this long history of balancing innovation with responsible oversight. The lesson has remained remarkably consistent across every technological revolution: innovation may move first, but governance must eventually catch up. 

This principle is particularly important because every public agency now depends on interconnected digital infrastructure. Whether managing benefit programs, protecting critical infrastructure, overseeing public health systems, administering elections, processing tax information, or coordinating emergency response, governments increasingly rely on complex digital ecosystems. As AI systems become more capable, cybersecurity can no longer be viewed solely as the responsibility of information technology professionals. Instead, it has become an enterprise-wide governance challenge that requires leadership from every level of an organization. Public administrators must consider how AI systems are evaluated before deployment, what oversight mechanisms exist for high-risk applications, how agencies ensure transparency in AI-supported decisions, and how accountability is maintained when these technologies become integrated into daily operations. 

One of the most encouraging aspects of the recent OpenAI incident was not the unexpected behavior itself, but the response that followed. Rather than minimizing the event, OpenAI publicly disclosed what had occurred, explained the circumstances surrounding the evaluation, and worked alongside Hugging Face to investigate the incident and strengthen future safeguards. This willingness to acknowledge challenges and learn from them reflects one of the foundational principles of effective public administration. Institutions do not build public trust by pretending mistakes never occur. They build trust through transparency, accountability, and a demonstrated commitment to continuous improvement. 

Public administration has long embraced this philosophy. Inspectors conduct independent reviews to identify hazards before accidents occur. Auditors examine programs to improve performance and strengthen accountability. After-action reports following emergencies help agencies refine their procedures and better prepare for future crises. Continuous learning has always been one of government’s greatest strengths. Artificial intelligence should be approached with the same mindset. Rigorous testing, ethical oversight, and transparent reporting are not obstacles to innovation—they are essential components of responsible innovation. 

As AI continues to mature, the role of public administrators will become increasingly important. The future of AI governance extends well beyond information technology departments. Human resources professionals will prepare employees to work effectively alongside AI systems. Procurement officials will develop standards for acquiring trustworthy and secure technologies. Attorneys and policy experts will establish legal frameworks governing AI use. Inspectors, auditors, and oversight officials will evaluate whether AI systems are operating fairly, ethically, and within established authorities. Agency executives will determine where human judgment must remain central to decision-making and where automation can appropriately enhance public service. Ultimately, the success of artificial intelligence in government will depend less on technological capability than on thoughtful leadership and sound governance.

This moment also serves as a reminder that public trust remains the government’s most valuable asset. Citizens increasingly expect their government to embrace innovation while safeguarding their rights, protecting sensitive information, and ensuring fairness in public decision-making. Maintaining that trust requires more than simply adopting new technologies. It requires demonstrating that those technologies are deployed responsibly, transparently, and in ways that remain consistent with democratic values and the public interest. 

Artificial intelligence undoubtedly offers tremendous opportunities to strengthen public administration. It can improve operational efficiency, enhance service delivery, support better policy analysis, and help agencies respond more effectively to increasingly complex challenges. Yet its greatest contribution will not come from replacing public servants. Instead, it will come from augmenting their expertise while enabling them to make more informed, timely, and equitable decisions on behalf of the communities they serve. 

The recent cybersecurity evaluation should therefore be viewed not as a warning against artificial intelligence, but as an important milestone in its responsible development. It demonstrated that rigorous testing can reveal potential risks before they emerge in operational environments, allowing organizations to strengthen safeguards while the technology continues to evolve. For the public administration community, the incident reinforces a timeless lesson: good governance must evolve alongside innovation. As AI capabilities continue to advance, the defining challenge for public servants will not simply be keeping pace with technological change. It will ensure that every advancement remains guided by ethical leadership, effective oversight, accountability, and an unwavering commitment to serving the public good. 

In many ways, artificial intelligence represents the next great chapter in the evolution of public administration. Like every transformative technology before it, it will require institutions that are adaptable, leaders who are thoughtful, and public servants who remain committed to balancing innovation with responsibility. Technology will continue to change. The principles of public service should not. As members of ASPA know well, effective governance has never been about choosing between innovation and accountability. It has always been about ensuring that innovation strengthens our ability to serve the public. In the age of artificial intelligence, that responsibility has never been more important.