AI hallucinations: when AI guesses wrong | Emily Tell, EMBA posted on the topic | LinkedIn

Generative AI can sprint past human teams in moments of insight, yet it also hallucinates, confidently fabricating facts that never existed. When an algorithm guesses wrong, it threatens brand trust, undercuts compliance programs, and can quietly nudge strategic decisions off course.

I coach teams to treat AI as a powerful but fallible analyst: pair models with subject-matter experts, trace data lineage before deploying outputs, and memorialize decision checkpoints so auditors understand why a recommended action was taken. A disciplined review loop keeps insights flowing while containing risk.

Leaders who invest in validation workflows and transparent communication help employees adopt AI with confidence. The goal isn’t to block experimentation, it’s to ensure every AI-generated claim earns its place in our strategy through evidence, oversight, and shared responsibility.