Introduction
Trust in government does not happen automatically. People are more likely to support public institutions when they believe decisions are transparent, fair, and easy to understand. That matters even more now, as government agencies increasingly rely on digital tools and AI systems to shape access to services, benefits, and opportunities. The White House Office of Science and Technology Policy’s Blueprint for an AI Bill of Rights reflects this shift by emphasizing notice, explanation, human alternatives, and protections against harmful automated decisions (White House Office of Science and Technology Policy OSTP, 2022).
At its core, trust is about whether people believe government is working for them, not just acting on them. When institutions are clear about how they operate and honest about their limits, they become easier to trust. That is why institutional legitimacy should be seen as a daily responsibility in public administration, not just a broad democratic ideal (Shafritz et al., 2022).
How Trust Gets Built
Transparency is one of the fastest ways government can build trust. When agencies explain how decisions are made, what information they use, and where the limits are, people are more likely to see the process as fair and accountable. This is especially important when AI is involved, because automated systems can feel confusing or even suspicious unless government clearly explains what they do and why they are being used. The OSTP framework pushes that idea forward by calling for notice and explanation when automated systems affect people in meaningful ways (OSTP, 2022).
Transparency also helps people feel that decisions are not being made behind closed doors. A person may not agree with a government choice, but they are more likely to accept it if the process is visible and understandable. In practical terms, that means public agencies should avoid jargon, explain trade-offs in plain language, and make their reasoning easy for the public to follow. When government communicates clearly, it sends a simple message: we are accountable for what we do (Shafritz et al., 2022).
Fairness matters just as much as openness. People care deeply about whether government treats them with respect and applies rules consistently. This is where procedural justice comes in. Even when an outcome is disappointing, people are more likely to trust the institution if they believe the process was unbiased, respectful, and gave them a chance to be heard. In AI-supported decision-making, that also means making sure human review is available and that people have a way to challenge mistakes or harmful outcomes (OSTP, 2022).
Communication is another major piece of the trust puzzle. Government cannot simply issue information and hope it lands. It has to communicate in ways that are timely, clear, and responsive to the public’s concerns. That means using plain language, repeating key messages consistently, and answering questions before confusion grows. Trust tends to increase when public agencies sound human, not distant, and when they show they are listening instead of just talking (Shafritz et al., 2022).
Misinformation makes all of this harder. False or misleading claims can spread quickly, especially online, and can damage confidence in government even when the underlying policy is sound. That is why public agencies need to correct falsehoods quickly, share evidence in accessible ways, and avoid reacting in ways that sound defensive or partisan. In the AI era, misinformation can also include manipulated images, exaggerated claims about automated systems, or misleading descriptions of how government technologies work. If agencies do not respond clearly, misinformation can fill the gap and shape public opinion instead (OSTP, 2022).
Link to Public Administration
Public administration is where these ideas become real. Shafritz et al. (2022) describe public administration as the work of organizing and carrying out government in the public interest, and that makes trust part of the job itself. If people do not trust agencies, then even strong policies can run into resistance, confusion, or weak implementation. In that sense, legitimacy is not a separate issue from administration; it is one of its most important outcomes.
The AI Bill of Rights is especially relevant here because it turns broad democratic values into practical expectations for government action. It says, in effect, that innovation should not come at the expense of fairness, explanation, or human accountability (OSTP, 2022). For public administrators, that means technology is only useful when it strengthens service and preserves public confidence. A system that is efficient but opaque does not fully serve the public.
This is where administrators make a real difference. Their choices about disclosure, review procedures, outreach, and public messaging shape how government is experienced on the ground. When they build transparency and fairness into everyday operations, they do more than improve efficiency. They help citizens see government as credible, respectful, and worthy of trust (Shafritz et al., 2022).
Conclusion
Trust in government is built through actions people can see and understand. Transparency, fairness, clear communication, and fast responses to misinformation all help strengthen institutional legitimacy. These priorities matter even more when agencies use AI or other automated tools, because the public needs to know that human accountability is still part of the process (OSTP, 2022).
Public administration gives these values a practical shape. As Shafritz et al. (2022) show, government works best when it is organized to serve the public openly and responsibly. If agencies treat trust as something they must earn every day, they are much more likely to maintain legitimacy in a fast-changing and often skeptical information environment.
References
Office of Science and Technology Policy. (2022). Blueprint for an AI Bill of Rights: Making automated systems work for the American people.
Shafritz, J. M., Russell, E. W., Borick, C. P., & Hyde, A. C. (2022). Introducing public administration (10th ed.). Routledge.
