When Not to Use AI: A Decision Guide for Enterprise Teams

Description and use

<p>Most AI evaluations start with the wrong question.</p> <p>They start with what the system could do if it works. Demos, pilots, and vendor decks all answer that question, and they answer it well. The question that actually determines whether a project succeeds is different: what happens when it is wrong.</p> <p>Every AI system produces wrong outputs. Not occasionally, as a defect awaiting a patch, but as a property of how the technology works. The useful question is never whether errors occur. It is whether your process can absorb them, detect them, and recover from them at the rate they arr

Problem

<p>Most AI evaluations start with the wrong question.</p> <p>They start with what the system could do if it works. Demos, pilots, and vendor decks all answer that question, and they answer it well. The question that actually determines whether a project succeeds is different: what happens when it is wrong.</p> <p>Every AI system produces wrong outputs. Not occasionally, as a defect awaiting a patch, but as a property of how the technology works. The useful question is never whether errors occur. It is whether your process can absorb them, detect them, and recover from them at the rate they arr

Outcome

<p>Most AI evaluations start with the wrong question.</p> <p>They start with what the system could do if it works. Demos, pilots, and vendor decks all answer that question, and they answer it well. The question that actually determines whether a project succeeds is different: what happens when it is wrong.</p> <p>Every AI system produces wrong outputs. Not occasionally, as a defect awaiting a patch, but as a property of how the technology works. The useful question is never whether errors occur. It is whether your process can absorb them, detect them, and recover from them at the rate they arr

Evidence

When Not to Use AI: A Decision Guide for Enterprise Teams

Source