Practice question
In literature evaluating predictive analytics in crash safety, what is the primary objective of introducing Explainable AI (XAI) frameworks in the context of Deep Learning models?
- 1To propose a definitive solution for completely eliminating the out-of-sample prediction errors inherent in Deep Learning.
- 2To shift the discussion from individual model paradigms to policy implementation by setting strict regulatory benchmarks.
- 3To address the central dilemma of reconciling high predictive gains against the loss of causal insight, and to evaluate current limitations of XAI techniques.✓
- 4To critique the inability of traditional statistical metrics to accurately measure the performance of Deep Learning models.
Correct answer
To address the central dilemma of reconciling high predictive gains against the loss of causal insight, and to evaluate current limitations of XAI techniques.
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