Managing AI Hallucinations!

 

Trust but Verify: Managing AI Hallucinations in Your Work

AI Pulse ♦   One of the trickiest challenges in working with AI is what we call" hallucinations." These are moments when a model gives you a confident answer that looks right on the surface but turns out to be completely made up. It could be a statistic that doesn’t exist, a citation that leads nowhere, or a summary that misses the point. The issue isn’t that the model is being intentionally deceptive. It's trained to generate fluent text to best satisfy the query, not to guarantee truth. Hallucinations most often occur when the model is asked for information it cannot reasonably access, such as private details, data locked behind paywalls, or sources it has never been trained on.   For business owners and professionals, this matters because bad information can slip into important workflows. Think about a report with fake numbers, or an email to a client that references something untrue. The good news is that hallucinations can be managed. Cross-checking facts using other models, using models that cite sources, knowing the right tool to use in the right situation, and combining AI output with your own expertise go a long way toward reducing risk.   At its best, AI is a creative partner, not a flawless source of truth. The key is to treat its responses as a draft, not a final word. Build the habit of asking, “How do I know this is correct?” and put simple guardrails in place. That way, you get the benefits of speed and creativity without being tripped up by errors.     Stoni Beauchamp | Founder Ai-Dapt Academy LLC 100 N Broadway, Wichita, KS 67202 | LL110 316-648-3588 Take AI Classes with Stoni! In Partnership with DL Biz Services! Debra Lee | Author & Keynote Speaker | Life & Biz Coach DLBizServices.com