Can artificial intelligence make federal decisions smarter?  

Artificial intelligence is transforming how government agencies train, manage infrastructure, and make critical choices, but with that power comes high-stakes challenges. 

This week on Feds At The Edge, experts cut through the hype to explore AI’s real challenges and opportunities for federal leaders. Joe Cheng, CTO for Posit, highlights the core problem: while getting answers from AI is easy, verifying those answers is much harder. Jaime Fitzgibbon, AI/ML Portfolio at DIU, underscores that when it comes to combat decisions, human judgment must remain at the center. And Chris Ritter, Division Director of Scientific Computing & AI and Director of the Digital Innovation Center of Excellence, Idaho National Laboratory, likens searching for reliable federal data to finding a needle in a haystack, and shares how open-source verification can help. 

AI’s potential is undeniable, but its success in government depends on trust, transparency, and human judgment.  

 

Listen now on your favorite podcast platform to learn how federal leaders can harness this powerful tool, without losing sight of its limits.