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AWS Certified AI Practitioner · AWS
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Compliance and regulatory requirements (such as data privacy, auditability, explainability, and industry regulations) must be identified before any technical work begins.
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Compliance and regulatory requirements are primarily determined during the data collection phase of the machine learning (ML) lifecycle. This is because the data being gathered must adhere to legal and regulatory standards, such as data privacy laws (e.g., GDPR, HIPAA). Palo Alto Networks states that data collection involves identifying data sources, implementing acquisition methods, and establishing data governance, all of which are influenced by compliance considerations.