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AI can be trustworthy when designed and implemented with ethical practices, transparency, and accountability in mind. It is important to consider factors such as data privacy, bias mitigation, and clear communication of the AI system's capabilities and limitations. Trust in AI can be built through thorough testing, validation, and continuous monitoring to ensure its reliability and effectiveness.

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Yes, AI can be trustworthy when designed and implemented with ethical practices, transparency, and accountability. It is crucial to consider factors like data privacy, bias mitigation, and clear communication of the AI system's capabilities and limitations to build trust in AI. Thorough testing, validation, and continuous monitoring are also essential to ensure its reliability and effectiveness.
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