Agentic AI has the potential to transform how government responds to constituent needs — but state and local officials aren’t getting caught in the hype. Hear how Tennessee’s CIO explains her state’s careful, responsible path to incorporating agentic AI into state systems.
An AI system recently admitted to a featured contributor that it “flows downstream on a river of human bias” and rarely gets corrected. That should change how leaders use these tools. If you rely on AI for decisions, learn three practical ways to push back on AI bias and redirect the current.
AI is reshaping decision-making across government, creating hybrid human-AI decision teams that combine machine speed and pattern recognition with human judgment, accountability, and context. Such collaboration can deliver faster and more effective mission outcomes, risk detection, and other benefits.
In this video interview, Nick Brown with Uber discusses the public sector’s status-quo approach to providing transportation services and the benefits of a modern alternative.
We’re preparing for one of the biggest events we put on each year: the NextGen Government Training Virtual Summit! If you’re wondering what NextGen entails or what you can get out of this free, all-day professional development, read on for some tips that will help you get the most out of your experience.
As AI increasingly becomes an intermediary between government organizations and the public, the structure of information begins to matter as much as the content itself. It is not a shift in messaging — it is a shift in how data is read.
As government organizations make greater use of AI, their privacy risks are expanding beyond traditional data protection. Critical infrastructure sectors must address new challenges related to data aggregation and accountability for AI-assisted decisions, among other concerns. To navigate this landscape successfully, organizations must enforce strong privacy protections to sustain innovation while maintaining public trust.
As government services increasingly move to digital platforms and AI-assisted systems, public trust is shaped not only by policy but by how those systems are designed. So, to strengthen citizen confidence while advancing modernization, agencies are implementing a trust architecture that focuses on building transparency, fairness, and reliability.
Agencies are using data to improve outcomes. Learn how St. Petersburg, Florida’s police department used data mapping to help fight crime.
The evolution of AI coding tools has raised the prospect of “disposable software” that would reduce the need for expensive, long-term maintenance. But although appealing, this paradigm shift would be challenging for government to implement. A SpecOps approach, though, may solve the problem.