Post by Dr. Laura Leighton | AIO & Transformation Architect | DeciznDNA™

Sold AI Efficiency. Hidden Manufactured Risk Was the Product. I spend 6–8+ hours a day working across multiple AI platforms. Over time, I've observed inaccuracies, missing context, hallucinations, inconsistent outputs, and significant drift in responses. One recurring pattern I've noticed is that AI systems often infer when context is incomplete. The output can sound confident. Confidence is not accuracy. Recently, I've seen increasing discussion around AI-driven hiring tools, ATS scoring, and AI interviewing platforms producing questionable outcomes. So I decided to test it for myself. One question kept bothering me. A resume is a one-dimensional document. An interview is a multidimensional human interaction. They cannot produce identical signals. ATS screening evaluates text-based signals. AI interviewing evaluates behavioral, verbal, and communication signals. They are not measuring the same thing. The real question is whether organizations and vendors have validated that the different signals being measured across each stage are actually assessing the same job-relevant competencies. A candidate may pass one model and fail another—not because capability changed, but because the measurement system changed. That's a governance problem, not a talent problem. That's where hidden Decizn risk begins. At DeciznDNA™, we examine what happens when organizations trust outputs before validating inputs. Because poor ingestion doesn't stay at the point of entry. It compounds. The organization never sees the candidate it filtered out. It never sees the capability that was overlooked. It never sees the opportunity that was missed. It only experiences the cost of that Decizn later. Every AI deployment produces something. Efficiency is only one possible outcome. So are operational friction, missed talent, delayed execution, hidden financial exposure, and compounding Decizn risk. The question isn't whether AI is producing an outcome. The question is whether you're measuring the actual output—or the pilot promise. Before deploying AI at scale, validate the Decizns. Your first Decizn should be the DeciznDNA™ Forensic Diagnostic. Your second should be AI deployment. https://lnkd.in/ezJEEH3E #DeciznDNA #AI #RiskManagement #Leadership #DigitalTransformation #TalentAcquisition #FutureOfWork #ExecutiveLeadership #ArtificialIntelligence #Governance

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