Which of the following is a concern when machine learning models make decisions without human understanding: Accuracy, Scalability, Interpretability, or Efficiency?
- Interpretability
- Accuracy
- Scalability
- Efficiency
The concern when machine learning models make decisions without human understanding is primarily related to "Interpretability." A lack of interpretability can lead to mistrust and challenges in understanding why a model made a particular decision.
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