Regulatory compliance refers to the adherence to laws, regulations, guidelines, and specifications relevant to an organization's business processes. In the context of AI and data usage, it involves ensuring that systems and practices align with legal requirements, such as data protection laws, industry standards, and ethical guidelines. Key characteristics include risk management, transparency, and accountability in AI operations. Common use cases include ensuring that AI systems do not violate privacy laws like GDPR, adhering to industry-specific regulations, and maintaining ethical standards in AI deployment. Organizations must continually monitor and update their compliance strategies to adapt to changing regulations and technologies.
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AI Fundamentals