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AI Compliance

AI Compliance refers to the adherence of artificial intelligence systems to legal, regulatory, ethical, and organizational standards. It involves ensuring that AI models, data, and processes meet requirements such as data privacy laws, fairness, transparency, and accountability. This field is critical for mitigating risks like bias, discrimination, and legal violations in AI deployments.

Also known as: AI Governance, AI Ethics Compliance, Responsible AI, AI Regulatory Compliance, AI Risk Management
🧊Why learn AI Compliance?

Developers should learn AI Compliance when building or deploying AI systems in regulated industries like healthcare, finance, or government, where laws such as GDPR, HIPAA, or sector-specific AI regulations apply. It is essential for reducing legal liabilities, building trust with users, and ensuring ethical AI practices, particularly in high-stakes applications like hiring, lending, or autonomous systems.

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