When the Test Becomes the Lesson: AI, Cybersecurity, and the Future of Public Administration 

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.

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America at 250: Preparing the Republic for 2076

Written by Board Member, Ryan Heimer

America’s 250th anniversary is both a commemoration and a governing test. The official America250 initiative describes the semiquincentennial as an opportunity to reflect on the nation’s past, honor the contributions of Americans, and consider the future the country wants to create. The current White House has framed the anniversary around patriotism, national strength, technological leadership, economic abundance, and the preservation of liberty. A durable America250 agenda should be broad enough to encompass those aspirations while also confronting the persistent gap between the Declaration’s universal principles and Americans’ unequal experiences of public institutions. 

What we discuss today is with a primary focus on federal and state policy, with local governments treated as essential implementation partners. After reviewing our Chapter’s 2026 essay submissions, many core ideas were presented to have the United States reach its tricentennial in 2076 in stronger condition only if it improves not merely the size or speed of government, but its capacity, legitimacy, fairness, adaptability, and accountability.. The themes raised in the 2026 ASPA essays—social equity, institutional capacity, representative bureaucracy, public trust, ethics, artificial intelligence, climate resilience, housing, and democratic governance—are not separate challenges. They describe a common problem: public institutions are being asked to manage twenty-first-century risks with uneven resources, outdated systems, fragmented authority, and historically low public confidence. 

The encouraging finding is that bipartisan agreement remains possible. Republicans and Democrats have recently cooperated on housing supply, artificial-intelligence research, cybersecurity standards, election auditing technology, infrastructure permitting, drug-interdiction technology, rural development, and some forms of government oversight. The deepest divisions concern the scale of federal authority, climate mandates, voting access, immigration enforcement and legalization, social-benefit eligibility, health-coverage subsidies, and whether equity goals should be explicitly embedded in federal funding formulas. 

A politically plausible agenda should therefore begin where interests overlap: risk-based AI governance rather than a single sweeping code; workforce transition rather than promises that technology will create only winners; faster infrastructure permitting paired with enforceable public participation; housing-supply reform paired with targeted affordability protections; secure, auditable elections paired with accessible administration; stronger border and asylum capacity paired with lawful workforce pathways; health-cost reforms paired with continuity of coverage; and independent oversight paired with management improvement. These are not complete ideological victories for either party. They are the kinds of institutional bargains through which a pluralistic republic renews itself.

The national test before 2076

When the United States celebrates its 300th anniversary on July 4, 2076, the technologies of 2026 will appear dated. The more consequential question will be whether the institutions governing those technologies became more capable and trusted. Public confidence is already a warning sign: in September 2025, only 17 percent of Americans said they trusted the federal government to do what is right always or most of the time, one of the lowest results in nearly seven decades of polling. Trust also shifts with partisan control; Democrats’ confidence fell sharply under a Republican administration, just as Republican confidence was lower under Democratic administrations. This suggests that distrust is not simply a judgment about performance. It has become entangled with partisan identity and whether one’s preferred coalition controls the state. 

Low trust does not mean that Americans want public institutions to disappear. They continue to expect secure elections, affordable health care, safe infrastructure, effective disaster response, controlled borders, cybersecurity, housing opportunity, and protection against fraud. The conflict is frequently over how government should achieve those outcomes, which level of government should lead, and how costs and benefits should be distributed. The challenge for public administration is therefore to demonstrate that authority can be exercised competently, ethically, transparently, and within constitutional limits. 

Institutional capacity is the connecting thread. Congress made approximately $711.8 billion in Infrastructure Investment and Jobs Act grants available to tribes, states, territories, and localities through more than 100 programs. By December 31, 2024, agencies had obligated almost half of the funding that was then available but had expended only about 20 percent. Some delay is normal for complex capital projects, but the gap also reflects planning, procurement, permitting, staffing, and grant-management constraints. A community may have a failing water system or an urgent flood risk yet lack the engineers, financial officers, legal expertise, or matching funds required to turn a federal award into a completed project. 

This is also where social equity and representative bureaucracy become practical rather than rhetorical concerns. Public programs are not neutral delivery mechanisms. Application rules, cost-sharing requirements, benefit formulas, office locations, language access, digital portals, and discretionary judgments shape who can participate. Research on representative bureaucracy has long examined whether the backgrounds and experiences of public employees influence institutional responsiveness. Representation alone does not guarantee responsiveness, but agencies that lack geographic, socioeconomic, professional, and demographic breadth may be less able to recognize how apparently uniform rules affect different communities. 

The goal for 2076 should consequently be a government that is both representative and capable: professionally staffed, open to people from different regions and socioeconomic backgrounds, skilled in technology and program management, and governed by clear ethical duties. Diversity without competence cannot deliver services, but competence defined too narrowly can produce institutions technically proficient in processes that citizens experience as inaccessible or unfair.

The bipartisan policy landscape

Artificial intelligence offers the clearest example of simultaneous consensus and division. Bipartisan Senate and House groups have agreed that the United States should preserve its technological leadership, expand research access, develop an AI-ready workforce, protect consumers and civil rights, and establish safeguards for high-risk uses. The Senate working group led by Democrats Martin Heinrich and Chuck Schumer and Republicans Mike Rounds and Todd Young called for innovation, safety, accountability, research investment, workforce preparation, election protections, and sector-specific action. A bipartisan House task force likewise recommended relying substantially on existing regulators while addressing privacy, bias, health, education, intellectual property, and national-security risks. 

The emerging center of gravity is risk-based governance. NIST’s voluntary AI Risk Management Framework organizes institutional responsibility around governing, mapping, measuring, and managing risks; its generative-AI profile applies those principles to newer systems, and NIST began developing a critical-infrastructure profile in 2026. Republicans generally place greater emphasis on regulatory flexibility, national competitiveness, energy supply, and avoiding rules that entrench incumbent firms. Democrats generally emphasize enforceable protections, privacy, discrimination, labor displacement, and public accountability. A plausible compromise is not a single federal license for all AI. It is common testing and documentation standards for consequential applications, sector-specific enforcement, regulatory sandboxes, research infrastructure, and portable workforce training. 

Climate and infrastructure policy contain a similar mixture. Democrats typically support explicit emissions targets, environmental-justice criteria, and sustained federal clean-energy investment. Republicans typically emphasize energy abundance, reliability, state authority, domestic production, cost control, and streamlined permitting. Yet both sides increasingly acknowledge that the country takes too long to build transmission, generation, transportation, water, housing, and industrial facilities. Bipartisan permitting proposals have sought clearer deadlines and narrower review while maintaining environmental safeguards and public participation. Wildfire and forest-resilience legislation has also attracted cross-party support because the immediate risks to communities, watersheds, utilities, and public lands are difficult to fit into conventional ideological categories. 

The partisan divide is more persistent over whether federal climate funding should explicitly prioritize disadvantaged communities. GAO found that agencies had difficulty measuring the community-level benefits of the former Justice40 initiative; the initiative was terminated in January 2025, leaving its overall results uncertain. That experience supports two conclusions that can coexist: equity goals require better metrics and administrative discipline, and abandoning measurement does not make unequal exposure to floods, fires, pollution, heat, or infrastructure failure disappear. A bipartisan resilience model could focus on measurable vulnerability—loss history, infrastructure condition, fiscal capacity, insurance withdrawal, population exposure, and emergency-response capability—without requiring every jurisdiction to accept one political vocabulary. 

Housing demonstrates that broad coalitions can move from diagnosis to legislation. In July 2026, the 21st Century ROAD to Housing Act became law after passing both chambers by overwhelming margins. Republican sponsors stressed supply, deregulation, local decision-making, manufactured housing, and community-bank financing. Democratic sponsors stressed affordability, rental assistance, homelessness, rural preservation, first-time buyers, and protections concerning institutional ownership. The coalition’s achievement was not resolving every zoning or subsidy dispute; it was combining supply expansion, program modernization, financing, preservation, and administrative streamlining. 

The need remains severe. Harvard’s 2026 housing assessment reported that 22.7 million renter households were cost-burdened in 2024, including 12.1 million spending more than half their income on housing. It also estimated that 11 million extremely low-income renters competed for only 3.8 million affordable and available units. Market-rate construction can relieve pressure in supply-constrained areas, but it does not by itself create housing affordable to the poorest households. Conversely, demand subsidies offered without additional supply can be absorbed partly into prices. A balanced strategy therefore needs zoning and permitting reform, manufactured and modular construction, preservation, vouchers, tax credits, infrastructure for growth, and protections against displacement. 

Social safety nets produce sharper philosophical conflict. Progressives view unconditional cash or broad refundable credits as ways to reduce poverty, administrative burden, insecurity, and arbitrary eligibility barriers. Conservatives tend to stress work, reciprocity, fiscal cost, family formation, and the risk that unconditional support reduces labor-force participation. Recent U.S. guaranteed-income experiments do not settle the debate. One major experiment found that a $1,000 monthly payment reduced labor-force participation by 4.1 percentage points and work by roughly one to two hours weekly, while another study found short-term employment reductions that later dissipated as recipients addressed health needs. Research also found temporary improvements in stress and food security. The evidence supports continued experimentation but not a confident claim that a nationwide UBI would have either no behavioral effects or catastrophic ones. 

The more politically feasible bridge is to improve benefits tied to work and children while reducing administrative complexity. A bipartisan proposal from the Bipartisan Policy Center recommended expanding the Earned Income Tax Credit for workers without qualifying children. Republicans can support its work incentive; Democrats can support its distributional impact. UBI pilots may continue at state and local levels, but a national transition is far less plausible than targeted tax credits, wage subsidies, automatic enrollment, benefit portability, and simplified eligibility.

Oversight is another potential area of agreement, although it becomes contentious when investigations affect the party in power. Inspectors General exist to detect fraud, waste, abuse, and mismanagement while recommending improvements in economy and effectiveness. Their value depends on independence, access to records, professional methods, credible leadership, and communication with both agency management and Congress. Bipartisan governance experts have argued that independence need not mean isolation: IGs should retain investigative autonomy while participating early enough in management discussions to identify systemic risks before they become scandals. GAO has similarly recommended formal removal procedures, advance congressional notice, and direct congressional communication as protections for IG independence. 

Election administration combines intense distrust with identifiable common ground. In 2025, the bipartisan Election Assistance Commission unanimously endorsed paper-based, auditable, software-independent voting systems; more than 98 percent of jurisdictions already used systems producing a paper record. The EAC also promotes post-election audits, physical and cyber controls, testing, canvassing, reconciliation, certification, and transparent communication. These are practical integrity measures capable of strengthening confidence without predetermining broader debates over voter identification, registration, mail voting, or federal authority. 

The partisan dispute remains substantial. In April 2026, 81 percent of Democrats but only 34 percent of Republicans supported allowing any voter to vote early or absentee without documenting a reason. Republicans place greater weight on preventing ineligible voting and requiring verification; Democrats place greater weight on reducing barriers for eligible voters. A durable bargain would treat security and accessibility as complementary administrative obligations: reliable identity and list-maintenance systems, paper records, audits, accessible voting, timely adjudication, and public explanations of how unofficial results become certified outcomes. 

Immigration illustrates why capacity must precede slogans. Republicans prioritize control of unlawful entry, detention and removal capacity, border barriers, and enforcement credibility. Democrats emphasize lawful pathways, humanitarian obligations, due process, family unity, and integration. Bipartisan action has been more achievable around inspection technology, port staffing, fentanyl detection, procurement oversight, asylum adjudication resources, and selected visa reforms. CBO estimated that the recent immigration surge would raise total GDP and federal revenues while also increasing some public costs and producing modest near-term wage pressure for less-educated workers. Immigration is therefore neither cost-free nor simply an economic burden; its effects vary across governments, industries, workers, and time. 

Health care presents a parallel tension between access and fiscal sustainability. CBO projects federal health-insurance subsidies of $33.6 trillion from 2026 through 2036 and an increase in the uninsured population from 30 million to 37 million under current law and policy assumptions. Voters across party lines remain concerned about affordability, although they disagree over Medicaid conditions, Affordable Care Act subsidies, federal spending, and regulation. Plausible bipartisan measures include site-neutral payments, price transparency, fraud prevention, rural workforce programs, telehealth, competition policy, and better coordination for chronic disease—while the larger coverage and financing disputes continue. 

Cybersecurity may be the least ideological of these challenges because governments, hospitals, utilities, schools, businesses, and elections all face common threats. NIST’s Cybersecurity Framework 2.0 broadened its scope to organizations of every size and added governance as a core function alongside identification, protection, detection, response, and recovery. The bipartisan Cyberspace Solarium Commission similarly emphasized national resilience, public-private collaboration, governmental organization, and layered deterrence. The principal dispute is not whether cybersecurity matters, but how to distribute mandates and costs among federal agencies, states, localities, infrastructure operators, software producers, and consumers.

A practical governing agenda

Near-term action over the next one to five years should concentrate on standards, implementation capacity, and demonstrable results.** The federal government should require inventories of consequential AI systems used in benefits, employment, law enforcement, health, housing, and regulatory decisions. Agencies should document intended uses, data limitations, human-review arrangements, performance testing, appeal mechanisms, and responsible officials, using NIST’s framework as a common foundation. Congress should simultaneously fund shared AI research infrastructure, regulatory sandboxes, and workforce partnerships so that safety rules do not become barriers only the largest firms can afford. 

Every major competitive grant program should include predevelopment assistance, standardized applications, shared engineering and procurement support, and a capacity set-aside for tribal, rural, territorial, and fiscally distressed jurisdictions. Matching requirements should vary with fiscal capacity rather than treating all applicants as administratively equal. Agencies should publish comparable data on obligations, expenditures, project milestones, outcomes, and open audit recommendations. This approach appeals to equity advocates because it improves access and to fiscal conservatives because it makes appropriations more likely to produce completed assets. 

Congress and the states should implement the ROAD to Housing Act aggressively while evaluating which reforms actually increase completions rather than merely issuing plans. Federal incentives should reward preapproved building designs, accessory dwelling units, conversions, manufactured housing, infrastructure-ready sites, and faster approvals. Those incentives should be paired with preservation of low-cost units, rental assistance for the poorest households, and relocation or anti-displacement protections where redevelopment pressures are intense.

A bipartisan resilience compact should prioritize floods, wildfire, extreme heat, water reliability, grid failure, and insurance-market instability using transparent risk and capacity metrics. It should preserve state flexibility while requiring credible maintenance plans and measurable risk reduction. Permitting reforms should establish lead agencies, coordinated schedules, early community engagement, accessible project data, and clear limits on repetitive review without eliminating consideration of local impacts. 

Congress should strengthen Inspectors General through predictable budgets, documented removal procedures, timely access to records, public tracking of unresolved recommendations, and regular bipartisan oversight hearings focused on corrective action rather than partisan spectacle. OIGs should also expand data analytics and cross-agency work on procurement, grants, health programs, disaster funds, and AI-enabled fraud. 

Election policy should begin with the unanimous EAC position: paper-based, auditable systems. Federal support should help remaining jurisdictions replace obsolete equipment, conduct routine post-election audits, secure voter-registration databases, protect election workers, and explain canvassing and certification. States would retain constitutional responsibility for election administration while operating within clearer technical and transparency standards. 

Immigration legislation should separate operational reforms from the comprehensive package that has repeatedly failed. Near-term measures can improve staffing and inspection technology at ports, accelerate asylum decisions with due process, strengthen procurement oversight, target smugglers and fentanyl networks, and align selected employment visas with verified workforce needs. The larger disagreements over legalization, deportation, parole, family migration, and asylum standards will remain, but capacity reforms can reduce disorder while Congress debates those questions. 

Health policy should focus on areas where cost, competition, and access intersect: site-neutral payments where clinically appropriate, prescription and hospital price transparency, rural and behavioral-health workforce expansion, telehealth standards, chronic-disease prevention, and program-integrity analytics. Coverage changes should include transition protections so that administrative churn does not leave eligible people uninsured simply because they could not complete paperwork. The political parties will continue to disagree over the ACA and Medicaid, but neither can credibly ignore rising costs or the large share of uninsured people who remain eligible for some form of assistance. 

Medium-term action over five to twenty-five years should build permanent adaptive capacity. The United States should create a national public-service talent compact linking federal agencies, states, localities, tribal governments, universities, community colleges, military-transition programs, and professional associations. Fellowships, apprenticeships, loan repayment, midcareer entry, and rotational assignments should recruit public servants from a broader range of regions and socioeconomic backgrounds while developing expertise in procurement, digital systems, engineering, public finance, emergency management, health, and community engagement.

The country should gradually replace fragmented digital systems with interoperable public infrastructure that allows people to verify identity, update information, apply for benefits, obtain permits, and appeal decisions without repeatedly submitting the same records. Such systems must include privacy protections, non-digital alternatives, accessibility, cybersecurity, and human review. Administrative simplicity should not mean compulsory surveillance. 

Over this period, social policy should favor evidence-based incrementalism. Congress can strengthen the EITC, child-related credits, unemployment insurance, wage insurance, retraining support, and portable benefits while continuing rigorous cash-transfer pilots. A national UBI should not be adopted or rejected on slogans; it should be assessed against labor effects, poverty reduction, health outcomes, financing, interaction with existing programs, and regional cost differences. 

By the 2040s and 2050s, climate resilience, housing, health, immigration, artificial intelligence, and cyber policy will be inseparable from fiscal policy. Aging infrastructure and population, Medicare growth, disaster losses, workforce shortages, and technological transitions will compete for public resources. A sustainable government will require long-range budgeting, automatic program evaluation, maintenance funding, and a willingness to end ineffective programs as well as launch new ones. CBO’s projected growth in health subsidies alone illustrates why the republic cannot treat every commitment as financially independent of every other commitment. 

America’s third century should not be defined by the fantasy that political conflict will disappear. The Constitution was designed for disagreement, divided authority, ambition, and competing interests. The standard should instead be whether institutions convert those conflicts into legitimate decisions and tangible results. 

The strongest bipartisan lesson across current debates is that national goals fail when implementation is treated as an afterthought. AI safeguards require technically capable regulators. Housing reform requires planners, infrastructure, trades, and financing. Border order requires officers, judges, technology, facilities, and lawful pathways. Climate resilience requires engineering, maintenance, land-use decisions, and insurance reform. Secure elections require trained local officials, auditable systems, and public communication. Health reform requires data, workforce, and administrative continuity. Oversight requires independent professionals and follow-through. 

The republic Americans inherit in 2076 will therefore depend on choices that appear procedural today: who can apply for a grant, whether an algorithm can be appealed, whether an audit recommendation is implemented, whether a rural county can hire an engineer, whether an election office can explain a delay, whether a displaced worker can obtain training, and whether a family can find an affordable home near opportunity.

Those choices constitute the everyday architecture of self-government. America at 250 should celebrate the endurance of the constitutional experiment. Preparing for America at 300 requires renewing the institutions through which that experiment becomes real.

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America’s AI Moment

Written by NCAC Board Member, Ryan Heimer

Innovation, Infrastructure, and the Future of Democratic
Governance

The Next Great Test of American Governance

Every generation inherits a challenge that forces it to rethink how institutions serve the public. For the Founders, it was designing a republic capable of balancing liberty with effective government. For later generations, it was preserving the Union, building an industrial economy, expanding opportunity, and navigating the rise of global power.

Today’s challenge arrives not in the form of a foreign army or economic depression, but through a technology advancing faster than the institutions responsible for governing it.

Artificial intelligence is often described as a technological revolution. Yet the more important story may be institutional rather than technological. AI is forcing governments, businesses, schools, healthcare systems, and communities to confront fundamental questions about decision-making, accountability, expertise, and trust. It is reshaping how information is produced, how services are delivered, how work is performed, and how citizens interact with the organizations that govern their lives.


The executive orders and policy initiatives emerging from Washington over the past several years reveal a growing recognition that AI is no longer simply another innovation. Increasingly, it is being treated as a strategic national capability that will influence economic competitiveness, workforce development, healthcare delivery, national security, and the future of public administration itself.


The story of American AI policy is therefore not merely a story about technology. It is a story about whether our institutions can adapt to a new era while remaining faithful to the principles that have sustained the republic for nearly 250 years.

From Research Initiative to National Strategy

The modern federal AI effort began in 2019 with the Executive Order on Maintaining American Leadership in Artificial Intelligence. At the time, policymakers largely viewed AI as an emerging technology with extraordinary economic and scientific potential.


Federal agencies were directed to prioritize research and development, improve access to government data, cultivate technical talent, and reduce barriers to innovation. The objective was straightforward: ensure that the United States remained the global leader in a technology likely to define the future.

A year later, the focus expanded. The Executive Order on Promoting the Use of Trustworthy Artificial Intelligence in the Federal Government acknowledged that leadership alone would not be sufficient. Public trust would also be necessary.


Innovation and governance would need to advance together. This balance between technological advancement and democratic accountability would become the central tension of the next phase of American AI policy.

The AI Race Accelerates

By 2025, the conversation had evolved dramatically.


The Trump Administration’s executive orders on removing barriers to AI leadership, streamlining federal procurement, expanding AI education, accelerating data-center permitting, and exporting the American AI technology stack reflected a broader strategic vision.


AI was no longer viewed primarily as a research initiative.


It was becoming a national project.


The federal government increasingly began treating artificial intelligence the same way earlier generations treated railroads, electrification, aerospace, and the internet—not merely as technology, but as critical infrastructure tied directly to economic growth, national security, and geopolitical influence.


Yet even as policymakers focused on competition and innovation, another challenge was emerging: preparing institutions and people to operate effectively in this new environment.

The Human Side of Artificial Intelligence

Technological revolutions are often described through machines, inventions, and infrastructure. But history suggests that transformation ultimately depends on people.


This reality is particularly evident in the workplace.


Research by Dr. Priyanka Dave of Oregon State University suggests that successful AI adoption is not primarily a technology challenge. It is a cultural challenge. Employees do not embrace new tools simply because they are available. They need environments that encourage learning, experimentation, collaboration, and continuous improvement.


Her research identifies psychological safety, managerial reinforcement, peer learning, opportunities for application, and aligned incentives as the key ingredients of successful adoption. Organizations that lack these conditions often find themselves purchasing technology faster than employees can meaningfully use it.


This lesson is especially relevant for government agencies.


The success of federal AI initiatives will not be determined solely by the sophistication of algorithms. It will depend on whether public institutions can prepare employees to work alongside those systems effectively.


The future of AI, in many respects, is a workforce challenge.

Modernizing Government in the AI Era

The workforce challenge intersects directly with another national priority: government modernization.


Federal agencies face increasing workloads, growing public expectations, workforce constraints, and rising demands for responsiveness. AI offers opportunities to improve service delivery, strengthen data analysis, streamline administrative processes, and support evidence-based decision-making.


Recent disclosures from the Office of Management and Budget reveal more than 3,600 active or planned AI applications across federal agencies, a dramatic increase from previous years.


These applications touch nearly every aspect of government operations.


Yet the rapid expansion of AI has also exposed an important governance challenge.


How do citizens maintain confidence in systems they do not fully understand?


The answer, many experts argue, lies not in slowing innovation but in strengthening transparency, accountability, and public engagement.


The rise of AI is creating what some observers describe as an “AI state.” Whether that development increases public trust or erodes it will depend on how institutions manage the transition.

Healthcare: A Preview of the Future

Few sectors illustrate these challenges more clearly than healthcare.


Healthcare is simultaneously one of the most promising and most complicated areas for AI deployment. Administrative systems already assist with scheduling, claims processing, documentation, and patient communications. Clinical applications increasingly support diagnostics, medical imaging, disease detection, and treatment recommendations.

The promise is extraordinary.

Yet healthcare also demonstrates the complexity of governing AI in high-stakes environments.


Questions about liability, privacy, transparency, regulation, reimbursement, and patient safety remain unresolved. Multiple federal agencies share oversight responsibilities, while states continue developing their own approaches.


The result is a policy landscape that mirrors broader challenges facing AI governance across government.


How can regulators encourage innovation while protecting the public?


How can institutions move quickly without sacrificing accountability?


Healthcare may ultimately become the testing ground for answering those questions.

National Security and Strategic Competition

If healthcare highlights AI’s promise, national security highlights its stakes.


Recent debates surrounding advanced AI systems such as Anthropic’s newest models demonstrate how quickly AI has become intertwined with questions of cybersecurity, intelligence, and defense.


Policymakers increasingly view frontier AI models as strategic assets comparable to advanced semiconductors, aerospace technologies, or critical infrastructure.


This perspective reflects a growing recognition that leadership in artificial intelligence may influence the global balance of economic and political power throughout the twenty-first century.


Consequently, discussions surrounding export controls, cybersecurity safeguards, model access, and international competition are likely to become increasingly central to American AI policy.


The question is no longer whether AI has national security implications.


The question is how democratic societies should govern technologies that possess such significant strategic value.

Stewarding the Future

The conversation surrounding artificial intelligence often gravitates toward extremes. Some see limitless opportunity. Others see existential risk. The reality, as is often the case in public administration, lies somewhere in between.


Technology does not determine outcomes on its own. Institutions do.


Artificial intelligence will undoubtedly reshape government, healthcare, education, business, and civic life. Yet whether those changes strengthen society depends upon decisions being made today by public servants, policymakers, educators, business leaders, and citizens.

The executive orders discussed throughout this article represent more than a collection of policy directives. They reveal an emerging recognition that America is entering a new phase of national development—one in which intelligent systems will increasingly shape public life.


But history reminds us that technological leadership alone is never enough.


The nations that endure are those capable of transforming innovation into public value. They build institutions that are trusted, adaptable, and resilient. They prepare their people for change while ensuring that progress remains aligned with the common good.


As the United States approaches its 250th anniversary, artificial intelligence presents an opportunity to demonstrate that democratic governance remains capable of meeting the challenges of a new age.


The future of artificial intelligence will be written in code.


The future of the republic, however, will still be written by people.

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Recap of Federal Employees to Be Honored at Community Coffee Event in Beckley

On April 18, 2026, Young Government Leaders (YGL) hosted a Federal Employee Appreciation Coffee Event at Chocolate Moose in Beckley, West Virginia. As part of YGL’s broader national initiative to recognize and uplift public servants, the event offered a space for connection, conversation, and community among federal employees in the region.


The event was organized and hosted by Ryan Heimer, a member of the American Society for Public Administration National Capital Area Chapter (NCAC), where he serves as Communications Officer. Demonstrating a strong commitment to public service and community engagement, Ryan led local coordination efforts, brought together key partners, and helped ensure that attendees had access not only to a welcoming environment, but also to meaningful resources.


Among those partners was Fayette Federal Credit Union, which supports federal employees across the region. Their involvement highlighted the importance of local institutions in sustaining and supporting the federal workforce, particularly in communities like Beckley. By connecting attendees with practical financial resources and services, the event extended beyond appreciation to tangible support.


While attendance was modest, the event underscored an important truth: meaningful engagement does not require a large crowd. The smaller setting created an environment where attendees could connect more personally by sharing stories from their careers, reflecting on the challenges facing today’s federal workforce, and reaffirming a shared commitment to public service.


A highlight of the event was the participation of the American Federation of Government Employees (AFGE) Women’s and Fair Practices Department. Their presence brought added depth to the gathering by providing valuable resources and information focused on workplace equity, employee rights, and support systems available to federal workers. Their engagement complemented YGL’s mission by ensuring attendees left not only feeling appreciated, but also better informed and supported.


Throughout the morning, conversations touched on professional development, navigating change within federal service, and the importance of building strong networks—particularly in smaller communities like Beckley. Events like this reinforce that public service is not just about the work itself, but about the people who carry it forward every day.


The Beckley coffee event reflects YGL’s and AFGE’s continued commitment to reaching federal employees where they are, from across agencies, regions, and roles. Through leadership, partnership, and intentional outreach, even small gatherings can create lasting impact. YGL is helping to strengthen the fabric of public service—one conversation, one connection, and one community at a time.

Categories: Event, Latest News, NCAC

Pablo D. Alcala Wins Second Place in the 2025 Student Essay Contest

Pablo D. Alcala headshot

Pablo D. Alcala

NCAC congratulates Pablo Alcala for winning Second Place of the National Capital Area Chapter’s (NCAC) 2025 Public Administration Student Essay Contest for his essay Can Expanding Opportunities Reduce Crime? Exploring the Link between Social Equity and Security.

 

Pablo Alcala is a Ph.D. Candidate at the University of Maryland, and along with the distinction of the essay winning the Chapter’s Essay Contest, will receive a cash award of $1,500 that we hope will go toward furthering your education and a three-year membership to the American Society for Public Administration.

 

Pablo joined us at our Chapter’s Annual Meeting on May 13 to discuss his essay and express his gratitude for being selected.

 

You can view the recording of our Annual Meeting by clicking here.

 

Congratulations, Pablo, on winning Second Place for your essay in our Chapter’s 2025 Student Essay Contest!

Categories: Annual Conference, Essay Contest, Latest News, Leadership, NCAC, Public Administration Toolbox, Social Justice Tags: Tags: ,

Join NCAC at ASPA’s Annual Conference!

ASPA 2025Submitted by NCAC President, Dale Jones

ASPA’s 2025 Annual Conference will take place in person in Washington, DC, at The Mayflower Hotel during March 28 to April 1. The conference is the premier professional development event for those who practice, teach, or study public administration. The conference features 150 panels across six tracks examining this year’s theme: “Not Robots Yet: Keeping Public Servants in Public Service.”

For more information and to register to attend for in-depth conversations, research presentations, workshops, networking and so much more, please click here: https://aspanet.org/Conference2025/Conference2025/Home.aspx

Our National Capital Area Chapter is sponsoring two events at this year’s conference.

Reception & Relationships: First-Timers and Others!
Friday, March 28 | 6:30 p.m. – 8:00 p.m. | Chinese Ballroom

Sponsored by the Iowa Chapter, the National Capital Area Chapter, Kitty Wooley (NCAC Board Member), and ASPA.

This session is dedicated to all who wish to jump-start their conference participation over light hors d’oeuvres and facilitated conversation. By the time you leave the room, you”ll have met colleagues whose experience of public service is like and unlike your own. That will expand your circle and increase the possibilities for good times over the next few days and lasting professional connections after everyone goes home. First-timers and old hands, academics and practitioners, introverts and extroverts, local
residents and far-flung members—you'll encounter them all. Please join us for a heartfelt welcome to ASPA 2025.

 

Trust in Government Presidential Panel
Sunday, March 30 | 3:45 p.m. – 5:00 p.m. | Room TBD

Sponsored by the National Capital Area Chapter.

Presenters:
Katherine Barrett and Richard Greene, Moderator and Presenter, Principal, Barrett and Greene, Inc.
Lura Forcum, President, Independent Center
Nick Mastronardi, Cofounder and CEO, Polco
Mark McDaniel, Deputy City Manager, Fort Worth Texas

If someone comes down with a bad case of the flu, they would be disinclined to tell friends that they were “healthy because they did not have pneumonia.” That is exactly how the critical issue of trust in state and local government is couched when compared to the situation in the federal government. Data demonstrates that though states and localities are more trusted than the federal government, levels of faith in these institutions have been on the wane in recent years. This session will dig deep into the best data available about this topic and explore the reasons why trust in government is such an important issue. It also will consider a variety of ways states and localities can bolster residents’ faith in government services, including heightened transparency; access to government officials and people who directly provide services; engendering citizen engagement; skillful use of social media; and more.

Volunteers for ASPA 2025 Annual Conference

Volunteers can receive a complimentary conference registration. To support the conference, ASPA would love it if some NCAC folks want to volunteer. This option is open to student and retiree ASPA members. If you would like to volunteer, please contact the ASPA conference staff at aspaconference@aspanet.org to receive more information. They would be happy to assist and would appreciate your support. Anyone who serves as a volunteer must work at least 16 hours of time in support of the conference to receive a free registration. Types of jobs needed include working at the registration desk, assisting with hallway monitoring and session set-up, providing general customer service, and helping with pre-conference set-up (bag stuffing, etc.).

Categories: Annual Conference, ASPA News, Current Events, Event, Latest News, NCAC

Extraordinary Public Servants

Submitted by ASPA-NCAC Board member Dale Jones

Millions of public servants at local, state, and federal levels serve citizens every day across our nation. They provide necessary services, assistance, and protection for the American people. The work can be routine and it can be extraordinary.

On March 26, 2024, the Francis Scott Key Bridge over the Patapsco River in Baltimore collapsed after being crashed into by the Singaporean-flagged cargo ship Dali loaded with 4,700 containers. It is a historical national economic catastrophe. Two construction workers died, and four more are missing and presumed dead.

During the Key Bridge disaster, public servants performed with extraordinary service. According to the Wall Street Journal on March 30, 2024, a dispatcher at the Association of Maryland Pilots, a trade group, immediately acted with a call to the Maryland Transportation Authority (MTA) and stated, “There’s a ship heading toward the Key Bridge. He lost steering. We need to stop all traffic on the Key Bridge.” Within approximately two minutes, public servants ranging from officials in the state’s Key Bridge office to MTA officers acted with urgency and precision to stop traffic on the bridge prior to the collision, which resulted in no vehicles traveling on the bridge when it collapsed. Thus, no others died in this tragic incident.

This is extraordinary public service.

Categories: Current Events, Latest News Tags: Tags: ,

Jessica Nguyen Wins First Place in the 2022-2023 Student Essay Contest

NCAC congratulates Jessica Nguyen for winning First Place of the National Capital Area Chapter’s (NCAC) 2022-2023 Public Administration Student Essay Contest for her essay Mitigating Maternal Mortality in Maryland: Integrating Midwives into State Medicaid System to Reduce Racial Disparity!

Along with the distinction of the essay winning the Chapter’s Essay Contest, Jessica will receive a cash award of $2,000 that we hope will go toward furthering your education and a three-year membership to the American Society for Public Administration.

Jessica joined us at our Chapter’s Annual Meeting on May 18 to discuss her essay and express her gratitude for being selected. You can view the recording of our Annual Meeting here.

Congratulations, Jessica, on winning First Place for your essay in our Chapter’s 2022-2023 Student Essay Contest!

Categories: ASPA News, Essay Contest, Latest News, NCAC, Policy Tags: Tags: , ,

Dylan Desjardins Wins Second Place in the 2022-2023 Student Essay Contest

[vc_row][vc_column][vc_column_text]NCAC congratulates Dylan Desjardins for winning Second Place of the National Capital Area Chapter’s (NCAC) 2022-2023 Public Administration Student Essay Contest for his essay Open Algorithms: Moving Away from “Magic 8 Ball” Governance! 

Along with the distinction of the essay winning the Chapter’s Essay Contest, Dylan will receive a cash award of $1,500 that we hope will go toward furthering your education and a three-year membership to the American Society for Public Administration.

Dylan joined us at our Chapter’s Annual Meeting on May 18 to express his gratitude for being selected. You can view the recording of our Annual Meeting here.

Congratulations, Dylan, on winning Second Place for you essay in our Chapter’s 2022-2023 Student Essay Contest![/vc_column_text][/vc_column][/vc_row]

Categories: ASPA News, Essay Contest, Latest News, NCAC, Policy Tags: Tags: ,

Call for Board Nominations

[vc_row][vc_column][vc_column_text]Are you interested in joining the NCAC Board? 

Fill out our nomination form below.
To learn more about NCAC and our current board, click here.

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Categories: Latest News