Which approach contributes to ensuring safety in applications using machine learning?
Minimizing the transparency of system operations
Including fail-safe mechanisms in the system design
Ignoring edge cases during development
Reducing the diversity of training data
Including fail-safe mechanisms in the system design helps prevent the application from causing harm if it encounters unexpected situations. Minimizing transparency, reducing data diversity, and ignoring edge cases can compromise safety and lead to undesirable outcomes.
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