Agencies today suffer from a “chaos of connectivity” — a morass of systems that are integrated to an extent, but don’t talk to one another — and that prevents agencies from easily accessing large swaths of data. A new platform that addresses all of an organization’s integration patterns can solve the problem.
Blanket bans or prohibitions against government agency use of generative AI won’t work. The recent Executive Order on AI takes a much more effective approach to guiding agencies on the proper way to adopt this new technology.
Artificial intelligence (AI), unlike other forms of automation, can learn and generate ideas that elude humans. But what does AI “learning” actually mean? Here are the basics.
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?
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?