fail-safe mechanisms in ai

Fail-safe mechanisms in AI refer to systems or processes that are designed to prevent or mitigate the negative consequences or errors that can occur when artificial intelligence (AI) algorithms or models malfunction or produce undesirable outcomes. These mechanisms aim to ensure the safety and reliability of AI technologies by implementing safeguards, checks, and countermeasures to minimize or eliminate any potential harm caused by AI systems.

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