Government agencies need room to find out the best uses of AI to achieve their goals and to help those they serve. They need AI laboratories that provide a safe space to experiment, to find out what works, and — maybe more importantly — what doesn’t.
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?
Federal regulations prefer that agencies use firm-fixed-price (FFP) contracts, which place all performance costs and risks on the contractor. That may sound like a good thing but, in practice, the FFP approach can be a problem.
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.
AI technology has fascinating prospects for society, but there also exists a spectrum of potential negative and unconventional outcomes, including AI-driven phishing attacks.
The answer engine is a groundbreaking solution that harmonizes the power of large language models — such as ChatGPT — with the irreplaceable insights that knowledge management professionals can offer.
Getting used to AI can be an uncertain journey. Will it raise the quality and speed of your output? Will it expand the scope of your job, or put it at risk? Find out what an expert thinks.
If an agency wants to transform how it uses data, it needs to reimagine three core pillars of its data ecosystem: people, processes and technology.