Model Interpretability
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The degree to which a human can understand how an AI or ML model arrives at its decisions. A key aspect of ethical and regulated AI deployment. For leaders, it’s the difference between blind automation and accountable intelligence.
- Essential for building trust in AI decisions
- Required in regulated industries like finance and healthcare
- Empowers humans to validate or challenge machine logic
