Regulatory Compliance and Risk Management

Regulatory compliance in the context of machine learning (ML) encompasses adhering to laws, standards, and guidelines designed to ensure that ML systems operate within legal and ethical boundaries. This compliance is critical due to the complex nature of ML systems, which involve processing vast amounts of data and making automated decisions that can significantly impact individuals and organizations. As ML technology becomes increasingly pervasive, understanding and implementing regulatory requirements is essential for maintaining trust and mitigating risks.