Making Automation Work for Your Agency
This blog details how automation can help agencies successfully enhance their workforce.
This blog details how automation can help agencies successfully enhance their workforce.
Generative AI holds great potential, but the promise comes with risks. Agencies need to make sure their systems serve the public equitably and effectively.
Artificial intelligence is not a singular technology — there are, in fact, many types of AI, each with unique uses and concerns for agencies to consider.
Artificial intelligence technology, including generative AI and large language models, provide many important capabilities, but there are misconceptions about how effective AI actually can be.
Government’s response to national and local crises depends on its ability to collect, analyze and use actionable data. That requires a 360-degree view of available agency data, the kind of perspective that a cloud-based data management platform can provide.
A concept known as explainability helps make artificial intelligence (AI) applications seem trustworthy. But what does explainable AI mean? And how might AI change things for the better? For the worse?
Secure, trusted elections are critical to our democracy. Ensuring this security means protecting ballots and voting machines on election day and preventing disinformation leading up to the use of those machines.
To truly realize their healthcare potential, AI systems must be developed responsibly and in ways that warrant people’s trust. Here are real-world examples of how AI can drive better federal health outcomes.
Is AI a world-ending threat or a world-changing breakthrough? Will it steal your job? We checked what the experts have to say.
Constituents have increasingly high expectations, and government agencies are pressed to do more with limited resources. Digital tools, such as artificial intelligence, can transform how government meets public needs and supports agency staff.