risk mitigation strategies in ai

Risk mitigation strategies in AI refer to proactive measures and approaches aimed at minimizing the potential adverse impacts and uncertainties associated with the development, deployment, and use of artificial intelligence technologies. These strategies involve identifying and assessing potential risks, implementing preventive measures, creating fail-safe mechanisms, establishing ethical guidelines, and continuously monitoring and adapting the AI system to ensure safety, security, and positive outcomes.

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