Artificial Intelligence (AI) in Government

AI in Government Key Takeaways

AI in government uses machine learning, deep learning, and generative AI to enhance automation, analysis, and research.
Common AI in government use cases include AI chatbots, smart city applications, and high performance computing (HPC) research.
AI in government applications has heightened requirements for cybersecurity as well as size, weight, power, and cost (SWaP-C).

Artificial intelligence (AI) in government can accelerate data analysis, boost efficiency, and deliver near-real-time insights for mission teams in the field, command center, office, or laboratory.

Why AI in Government?

Federal agencies, together with state and local government, gather vast quantities of data that outpace many other entities. AI machine learning and deep learning analyze this data to help mission teams make informed decisions potentially faster than manual processes. With the advent of generative AI (GenAI) and large language models (LLMs), automation is becoming more accessible as analytical workflows can process more types of unstructured data to generate insights, even within tight budgets.

Benefits of AI in Government

AI in government services drives applications such as advanced analytics, computer vision, natural language processing (NLP), and robotics to deliver tangible benefits to public sector agencies. These benefits include the automation of routine tasks, the ability to inform mission-critical tasks with more data and deeper insights, and the use of AI in high performance computing (HPC) to accelerate research and development at national laboratories. According to a 2024 ICF survey, 99 percent of agency leaders agree that safe, effective AI is essential to fulfilling their mission.¹ Gen AI also has the potential to make a huge impact, according to researchers from OpenAI and the University of Pennsylvania, who argue that LLMs could empower US workers to complete 15 percent of all tasks significantly faster at the same level of quality.²

AI Use Cases in Government

AI is helping to advance the way government agencies offer services, complete mission objectives, and conduct valuable research. Here are just a few examples:

Personalized AI chatbot experiences: AI chatbots are already helping governments field public inquiries more efficiently. GenAI could potentially make these chatbot experiences more empathetic, with the ability to understand the user’s needs better and provide more-contextual information.
Smart city and transportation applications: AI can analyze data in near-real time to inform city and transportation management strategies, making it easier and cost efficient to operate public services. For example, transit authorities can use AI to measure bus occupancy and enable dynamic fleet management based on public use. Water utilities can use AI to automate inspections of pipe infrastructure to help save time and reduce costs.
AI HPC research at national laboratories: AI is analyzing vast amounts of data to fuel discoveries faster, with the potential to help improve the quality of life on a national or global scale. For example, AI has been used by energy researchers to analyze 32 million potential materials for future battery development in a matter of days.
AI logistics and analytics in the field: AI can help inform decision-making for critical operations like emergency services or defense applications. These implementations typically have specialized requirements related to encryption and cybersecurity, as well as size, weight, power, and cost (SWaP-C) limitations. To help meet these requirements, solutions like portable, private 5G networks help enable AI that’s ruggedized and deployment ready.

AI in Government and Private Sector Partnerships

To help improve the pace of innovation, governments often partner with private sector organizations for collaborative research projects. For example, Intel® Labs is an industry-leading research organization that has a long-standing partnership with the National Science Foundation (NSF). Together, they work on various programs to advance AI technology, with a focus on improving the quality of life for citizens, enhancing the resiliency and sustainability of agriculture, and many more use cases.

The Future of AI in Government

As AI technology proliferates from the data center core to edge devices in the field, one of the greatest challenges will be overcoming a more complicated data security perimeter. Hardware-enabled security features that enable zero trust access, confidential computing, and trusted execution environments will be essential to protecting assets and data from unauthorized access. For AI in government use cases especially, secure supply chain reliability can help ensure unadulterated technology from factory to field.

Another important consideration is the responsible use of AI to help ensure that the application of new technologies will respect human rights and uplift communities. From planning to execution, AI deployments should integrate principles of fairness, transparency, and accountability to help diminish the impact of potential bias in AI models and datasets. Explainable AI (XAI) can also help agencies understand how AI produces specific results or answers.

Get Started

Leveraging AI to its full extent requires a systems-level approach, which is why Intel has fit-for-purpose hardware that matches technology needs up and down public sector hierarchies while adhering to SWaP-C requirements.

Organizations can scale AI across cloud, data center, edge, and client with hardware-enabled AI acceleration and optimized AI frameworks from Intel.

Intel is a trusted partner for solutions that help government agencies achieve their goals using commercial off-the-shelf (COTS) technology.

Learn about AI hardware—including AI and edge processors, accelerators, and GPUs—and AI software solutions needed to support the end-to-end AI pipeline.

Empower your teams with software tools, frameworks, and optimizations that help streamline initiatives and accelerate ROI.

Pursue new business models and enable data sharing across locations, devices, and cloud servers—even when working with sensitive or regulated data.

Read how DC Water used Intel® AI solutions to automate sewer inspections for thousands of miles of pipes to save time and reduce cost.

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FAQs

Frequently Asked Questions

AI in government involves using machine learning, deep learning, and GenAI workflows to enable automation and informed decision-making in the office, laboratory, or field.

AI is being used by several agencies to support key use cases, including AI chatbots for public engagement, AI smart city applications like public transportation fleet management, AI HPC‒driven research at national laboratories, and AI-enabled decision-making for field operations.

As AI continues to evolve, government agencies will need to adhere to strict requirements for cybersecurity, SWaP-C, and secure supply chain to help protect data and assets and operate within tight budgets.