control methodologies in ai
Control methodologies in AI refer to the systematic approaches and techniques used to guide and regulate the behavior of artificial intelligence systems, ensuring they operate safely, ethically, and in accordance with desired objectives and constraints. These methodologies aim to establish rules, mechanisms, and algorithms that govern decision-making, risk management, error handling, and overall control over AI systems to mitigate potential risks and ensure responsible use.
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