AI Impact Assessment

An AI Impact Assessment is a systematic and documented evaluation process required for high-risk artificial intelligence systems under the EU AI Act to identify, analyze, and mitigate potential negative effects on fundamental rights, safety, and regulatory compliance. These assessments examine algorithmic bias, data quality issues, cybersecurity vulnerabilities, and unintended consequences across different user demographics and use cases. Organizations must document their findings, implement corrective measures, and maintain records demonstrating ongoing monitoring. The assessment becomes a living document, updated whenever the system changes significantly or when new risks emerge, establishing accountability and enabling regulators to verify that organizations have properly considered potential harms before deployment. Example: A cryptocurrency exchange implementing an AI-driven sanctions screening system must conduct an Impact Assessment examining whether the algorithm disproportionately flags transactions from certain geographic regions, validate its accuracy against false positives, and document how it prevents money laundering while minimizing legitimate transaction blocking. Why it matters for crypto regulation: DeFi protocols and exchanges using AI for compliance (KYC, AML, fraud detection) face enforcement risk without documented assessments. Regulators increasingly require these assessments as proof of due diligence, making them essential for avoiding penalties and demonstrating responsible AI deployment.

Category: regulatory frameworks, ai data

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