How Software Testing Can Help Agencies Optimize Their Generative AI Outputs
Generative AI holds great potential, but the promise comes with risks. Agencies need to make sure their systems serve the public equitably and effectively.
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.
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?
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.
The more you learn about artificial intelligence (AI), the more confused you might be. Here are some helpful definitions of the most popular forms of AI to help you make sense of it all.
We asked GovLoop readers about their AI-related thoughts and experiences. How are people using AI? What value does it offer, and what would make agencies use the technology more? Is AI more of a benefit or a risk, and why?
As artificial intelligence becomes more prevalent, governments are attempting to control its risks through internal guidance and legislation. Here’s where those efforts stand.