Suppose an AI system responsible for credit scoring begins to exhibit erratic behavior, assigning seemingly random scores to individuals. What should be the initial step in addressing this issue, considering AI governance principles?
- Shut down the AI system immediately.
- Review the training data and model architecture.
- Ignore the issue as it might stabilize on its own.
- Reduce the complexity of the AI model.
The initial step should be to review the training data and model architecture to understand why the AI is behaving erratically. Shutting down the system might not be necessary at this stage, and ignoring it is not a responsible approach. Reducing complexity may not be the immediate solution.
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