Fact-Checking AI: How to Catch Errors Before They Become Yours

AI can produce polished, confident answers in seconds—but confident doesn’t always mean correct. AI-generated content can include fabricated facts, false or misrepresented citations, outdated information, missing context, and questionable claims presented as truth. Once you use or share that information, the error becomes yours, making effective AI fact-checking an essential skill for anyone relying on AI-generated information.

This practical webinar gives participants a straightforward approach to using AI with greater confidence, accuracy, and better judgment. You’ll learn when to trust AI-generated content, when to question it, and when verification is necessary. Discover practical techniques for evaluating sources, identifying unsupported claims, asking better questions, and keeping human judgment in the driver’s seat while using AI to work faster and smarter.

• Spot common AI errors, including fabricated facts, false citations, and outdated information.
• Separate fluency from accuracy and recognize when a convincing AI-generated answer still requires verification.
• Determine what information to fact-check based on the potential consequences of being wrong.
• Use a simple four-step process to quickly evaluate AI-generated information.
• Evaluate sources for credibility, accuracy, relevance, and timeliness.
• Use AI to challenge AI and uncover assumptions, uncertainty, and unsupported claims.
• Ask better questions to reduce errors caused by unclear or faulty prompts.
• Apply a simple credibility test before sharing AI-generated information.
• Keep human judgment in the driver’s seat while using AI to work faster and smarter.

By attending, you’ll gain a practical framework for approaching AI-generated information with greater confidence and sound judgment. These skills can help you catch questionable information before you use or share it, allowing you to benefit from AI’s speed while maintaining responsibility for accuracy.