AI Usage in Federal Government: Applications & Challenges
Artificial intelligence is becoming an important technology across the U.S. federal government and many public programs today.
Federal agencies are using AI to analyze information, improve internal operations, support employees, provide public services, assist healthcare programs, and explore new ways to solve complex problems.
The growth has been especially fast with generative AI. According to the U.S. Government Accountability Office (GAO), the 11 selected federal agencies with available AI inventories reported 1,110 AI use cases in 2024, compared with 571 in 2023. Generative AI use cases increased from 32 to 282 during the same period.
This rapid adoption creates significant opportunities, but it also introduces challenges involving privacy, cybersecurity, accuracy, bias, costs, and human oversight.
Key Takeaways
- Federal agencies are rapidly expanding their use of artificial intelligence.
- Generative AI is being used for information access, writing, research, and other government functions.
- Healthcare and public services are important areas for AI applications.
- AI can reduce repetitive work and help employees process large amounts of information.
- Privacy, security, accuracy, and responsible use remain major concerns.
- Public AI inventories help improve transparency and accountability.
What Is AI Usage in Federal Government?
AI usage in federal government means using artificial intelligence technologies to support or perform tasks within federal agencies.
These technologies can include machine learning, natural language processing, computer vision, predictive analytics, and generative AI.
Traditional AI systems can analyze data, identify patterns, make predictions, or classify information.
Generative AI works differently. It can produce new content such as text, images, audio, video, and computer code based on user instructions.
Federal agencies can use these technologies for both internal and public-facing activities.
For example, an agency might use AI to summarize a lengthy report for employees or help citizens find information through an online assistant.
The technology does not always replace human workers. In many cases, it works as an assistant that helps employees complete tasks more efficiently.
How Federal Agencies Are Using AI
AI applications differ because every federal agency has different responsibilities.
Some of the most common areas include:
| Area | Example AI Use |
|---|---|
| Data analysis | Finding patterns in large datasets |
| Government services | Supporting citizen questions and requests |
| Healthcare | Supporting medical analysis and research |
| Cybersecurity | Identifying unusual activity and potential threats |
| Document processing | Summarizing and organizing documents |
| Research | Analyzing large amounts of information |
| Human resources | Supporting workforce-related processes |
| Software development | Assisting developers with coding |
| Information search | Finding relevant information faster |
| Public communication | Drafting and organizing content |
GAO found that 61% of the 282 generative AI use cases reported by the selected agencies in 2024 were related to mission-enabling functions. Government services accounted for 15%, while health and medicine accounted for 9%. Together, these three categories represented 84% of the reported generative AI use cases.
Major Applications of AI
1. Government Services
One of the most important applications is improving government services.
Federal agencies handle millions of questions, applications, documents, and service requests.
AI-powered systems can help employees organize information and respond to routine requests.
Generative AI can also support chatbots and virtual assistants that help people locate information.
This can reduce repetitive workloads and allow employees to spend more time on complicated cases.
However, automated systems should be carefully monitored because an incorrect answer from a government system can have serious consequences.
2. Healthcare
Healthcare is another important area.
Federal agencies manage healthcare programs, medical research, patient information, and large collections of scientific data.
AI can help analyze medical images, identify patterns, process research information, and support healthcare professionals.
For example, the Department of Veterans Affairs has explored AI to automate parts of medical imaging processes to support diagnostic services for veterans. The Department of Health and Human Services has also explored AI-related work to extract information from publications and identify possible disease outbreaks.
These systems can support professionals, but they should not be treated as automatically correct.
3. Document Processing
Federal agencies create and manage enormous amounts of information.
Employees may need to read reports, analyze documents, review public comments, and locate specific information across large collections of files.
AI can help with these repetitive tasks.
For example, the U.S. Government Accountability Office has explored large language models to synthesize previous reports, support editorial reviews, and scan congressional documents.
This type of application can save time while allowing employees to focus on analysis and decision-making.
4. Cybersecurity
Cybersecurity is another important area for government AI.
Federal agencies operate systems containing sensitive information and critical infrastructure.
AI can help security teams analyze large volumes of activity and identify unusual patterns that could indicate a threat.
At the same time, AI can create new cybersecurity risks.
Attackers can also use AI to automate activities, create convincing messages, or identify weaknesses.
For that reason, government agencies need to consider both the defensive benefits and potential security problems.
5. Software Development
Generative AI can assist government developers with software development.
A coding assistant can help employees generate code, explain existing code, identify potential errors, or speed up certain development tasks.
GAO reported that Customs and Border Protection was working on a generative AI coding assistant intended to help users develop software more efficiently.
Human developers still need to review AI-generated code because the system can produce errors or insecure implementations.
6. Research and Scientific Work
Federal agencies conduct research across areas such as energy, healthcare, climate, space, and national security.
AI can help researchers analyze datasets, search scientific information, model complex situations, and identify patterns.
This can be especially useful when the amount of available information is too large for manual analysis.
Real Federal Agency Examples
AI adoption can be seen across several major federal organizations.
The Department of Justice maintains a public AI use case inventory. Its 2025 inventory contained 315 entries, representing a 30.7% increase from its 2024 inventory. The inventory includes systems at different stages, including pre-deployment, pilot, deployed, and retired.
The Office of Personnel Management also maintains an AI inventory covering its use cases.
OPM states that its approach focuses on transparency, accountability, and innovation while maintaining safeguards for compliance with federal policies.
These inventories are useful because they give the public and other agencies a clearer picture of how AI is being used.
Benefits of AI Adoption
Faster Processing
AI can process large amounts of information much faster than a person performing the same repetitive task manually.
This can help employees handle large workloads.
Better Information Access
AI-powered search and summarization can make it easier for government workers to locate useful information.
Instead of manually reviewing hundreds of pages, an employee may use AI to identify relevant sections before reviewing the original material.
Reduced Repetitive Work
Many government jobs involve repetitive administrative activities.
AI can automate or assist with some of these processes.
This can allow employees to spend more time on work that requires judgment and expertise.
Improved Public Services
AI-powered tools can help agencies respond to routine questions and provide information more efficiently.
When designed properly, these systems can improve accessibility and reduce waiting times.
Better Data Analysis
Federal agencies work with enormous datasets.
AI can identify patterns and relationships that may be difficult to discover through manual analysis alone.
Challenges and Risks
The benefits are significant, but AI adoption is not without problems.
Accuracy and AI Errors
AI systems can generate incorrect information.
Generative AI can sometimes produce convincing answers that contain factual errors, often called hallucinations.
This becomes especially serious when AI is used in areas involving healthcare, legal matters, benefits, employment, or public safety.
Human review is therefore important for high-impact applications.
Privacy
Federal agencies may handle sensitive personal and government information.
Using AI with this information creates questions about data storage, access, processing, and security.
GAO reported that officials at 10 of 12 selected agencies identified existing federal policies, including data privacy requirements, as potential obstacles to generative AI adoption.
Cybersecurity Risks
AI systems can introduce additional attack surfaces.
Agencies must protect the models, applications, data, and infrastructure supporting them.
Security testing should be part of the development and deployment process.
Bias and Fairness
AI systems can produce biased results if their training data, design, or implementation contains bias.
This is particularly important when AI is used for hiring, healthcare, benefits, law enforcement, or other decisions affecting people’s lives.
Cost
Advanced AI systems can require significant computing resources, infrastructure, software, and skilled employees.
Agencies must consider whether the expected benefit justifies the total cost of developing and maintaining a system.
Rapid Technological Change
AI technology changes extremely quickly.
A tool that is considered advanced today may look outdated within a relatively short period.
GAO reported that some federal agencies found the rapid evolution of generative AI made it difficult to establish and maintain appropriate policies and practices.
AI Governance and Oversight
Technology alone is not enough.
Federal agencies also need clear rules for how AI should be developed, purchased, tested, deployed, and monitored.
AI governance can include:
- Data privacy
- Cybersecurity
- Risk management
- Human oversight
- Model testing
- Procurement controls
- Transparency
- Accountability
- Employee training
- Public communication
Public AI inventories are another important part of governance.
Executive Order 13960 requires agencies to maintain inventories of certain non-classified and non-sensitive AI use cases and share information publicly when practicable. OPM describes its own inventory as part of meeting these requirements.
Accurate inventories also help agencies understand what systems they have and where those systems are being used.
GAO has previously found problems with incomplete or inaccurate AI inventory information at some agencies, showing why good documentation matters.
AI in Federal Government: Opportunity vs. Risk
| Opportunity | Potential Risk |
|---|---|
| Faster operations | Incorrect information |
| Better data analysis | Privacy concerns |
| Automated tasks | Workforce disruption |
| Improved services | Biased outcomes |
| Faster research | Cybersecurity threats |
| Better information access | Lack of transparency |
| Employee assistance | Overdependence on AI |
The goal should not simply be to deploy as much AI as possible.
The better approach is to identify where AI provides genuine value and then build appropriate safeguards around each use case.
What Does the Future Look Like?
The use of AI across federal agencies is likely to continue growing.
The increase from 571 reported AI use cases in 2023 to 1,110 in 2024 among the selected agencies reviewed by GAO shows how quickly adoption has expanded. Generative AI grew even faster, increasing from 32 to 282 reported use cases.
Future applications could include more advanced AI assistants, intelligent search, scientific research tools, cybersecurity systems, automated document processing, public-service applications, and workforce support.
However, successful adoption will depend on more than access to powerful AI models.
Agencies will need reliable data, skilled employees, secure infrastructure, clear policies, testing procedures, and effective oversight.
Public trust will also matter.
People should understand when AI is being used, what role it plays, and when a human is responsible for reviewing important decisions.
Frequently Asked Questions
What is AI usage in federal government?
It refers to the use of artificial intelligence technologies by U.S. federal agencies to support tasks such as data analysis, healthcare, cybersecurity, research, document processing, public services, and workforce management.
How quickly is federal AI adoption growing?
Among 11 selected agencies reviewed by GAO, reported AI use cases increased from 571 in 2023 to 1,110 in 2024. Generative AI use cases increased from 32 to 282.
What are the main uses of AI in federal agencies?
Major uses include mission support, government services, healthcare, information access, document processing, software development, research, and cybersecurity.
What are the biggest risks?
Important risks include inaccurate outputs, privacy problems, cybersecurity threats, bias, high costs, misinformation, and insufficient human oversight.
Do federal agencies publish AI inventories?
Many federal agencies publish AI inventories. The Department of Justice, for example, published a 2025 inventory containing 315 entries.
Can AI replace federal government employees?
AI can automate or assist with certain tasks, but many government responsibilities require human judgment, accountability, and expertise. In sensitive areas, human oversight remains particularly important.
Conclusion
Artificial intelligence is becoming a major part of the technology strategy of many federal agencies.
Its applications range from healthcare and cybersecurity to document processing, software development, research, public services, and everyday administrative work.
The growth of reported AI use cases shows that federal adoption is moving quickly, particularly in generative AI.
However, successful adoption requires more than deploying new technology.
Federal agencies must address accuracy, privacy, cybersecurity, bias, costs, transparency, and human oversight.
When these issues are managed responsibly, AI can help government employees work more efficiently, process information faster, and improve some public services.
The real measure of success will not be how much AI the government uses.
It will be whether the technology produces better outcomes while protecting the people and information that federal agencies are responsible for.
