AI Glossary
Compliance (AI)
The practice of ensuring AI systems meet legal, regulatory, and industry standards. In Canada, this includes PIPEDA for privacy, sector-specific regulations, and emerging AI governance frameworks.
Understanding Compliance (AI)
AI compliance is rapidly evolving from "nice to have" to a legal requirement. Businesses deploying AI must navigate privacy laws (PIPEDA, provincial equivalents), anti-discrimination regulations, sector-specific rules (finance, healthcare), and emerging AI-specific legislation.
Practical compliance means documenting your AI systems, understanding what data they process, implementing access controls, maintaining audit trails, and having clear policies for handling errors or harmful outputs.
The cost of non-compliance is rising. Beyond regulatory fines, businesses face reputational damage, loss of customer trust, and competitive disadvantage as clients increasingly require AI governance documentation from their vendors.
Compliance (AI) in Canada
Canada's AIDA (Artificial Intelligence and Data Act), expected alongside the Consumer Privacy Protection Act, will create new obligations for businesses using high-impact AI systems, including mandatory risk assessments.
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Frequently Asked Questions
PIPEDA governs personal data handling. Provincial laws (like Quebec's Law 25) add additional requirements. The proposed AIDA will introduce AI-specific obligations for high-impact systems.
Begin with an inventory of all AI systems in use, assess what data they process, document their decision-making processes, and establish monitoring and audit procedures. An AI audit is a practical first step.
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