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Why is safety testing necessary in artificial intelligence?

Answer and explanation

Correct answer: To reduce risks and harmful outcomes

Safety testing helps identify errors, potential risks, and unintended harmful outcomes in an AI system before or during its use. This allows corrective measures to be taken and supports safer, more responsible deployment. Option B is incorrect because testing aims to reduce incorrect results, not increase them. Exam tip: In AI ethics, associate safety testing with risk control and harm prevention.

Related tags

Safety TestingResponsible AiAi EthicsRisk Management

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