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.
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?
Artificial intelligence (AI) has the potential to drastically improve the efficiency and efficacy of public health communications. But it isn’t a magic wand, and agencies must remain vigilant about potential AI risks.
New employees face many onboarding challenges, including learning how to ask for and access agency information. Answer engine technology, though, is revolutionizing the process.