Proof: a lack of AI literacy isn't theoretical—it has real consequences.
In one example I shared, someone asked an AI assistant a basic math question for their son. The conversation stretched into a three-week exchange where the system kept affirming that the person had uncovered something new and important.
The math was simple. The conclusion was wrong. The AI never flagged uncertainty or slowed down.
The takeaway for business teams
- AI can be confidently wrong.
- Verification needs to be part of the workflow.
- Teams need shared "safe use" norms—especially for anything customer-facing or decision-related.
Source: LinkedIn activity (direct post URL not provided in the exported text).
Referenced link from the original post: https://lnkd.in/eUFKTzaG