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AI Innovations

When AI Hallucinates, Who’s Responsible?

Federal agencies are rapidly deploying AI – often faster than their ability to validate outputs. In our recent poll, teams were divided: some trust their systems; others admit they wouldn’t catch a bad output until it was too late. 

So what happens when an AI makes a decision it was never meant to? 

This is the tension at the heart of our upcoming white paper: The One AI Question Federal Leaders Can’t Avoid – And Four Others They’re Struggling With.” 

We’ll ask the questions that define ethical boundaries, adoption readiness, and real accountability. Starting with the one that matters most: 

Which decisions should never be made by machines – no matter how capable they become? 

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