Safety-critical
Safety-critical refers to systems or processes where failure could result in harm to people, damage to equipment or the environment, or loss of critical data. In the context of data science and artificial intelligence, safety-critical systems are those that rely on machine learning algorithms to make decisions that impact human lives or the environment. These systems must be designed, tested, and validated to ensure that they operate safely and reliably. Safety-critical systems are used in a variety of industries, including healthcare, transportation, and energy. Examples of safety-critical systems include autonomous vehicles, medical devices, and industrial control systems.
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