What is AI System Impact Assessment?
An AI system impact assessment is a structured review of the likely effects, risks, and safeguards associated with developing or deploying an AI system in a specific context. It is significant because regulators and governance frameworks increasingly expect organizations to identify harms, assess proportionality, and document mitigation measures before use.
In Depth
In practice, this assessment examines who is affected, what decisions the system influences, what data it uses, and whether the intended use could create discrimination, privacy, safety, or security risks. It should also document mitigations, residual risk, escalation criteria, and any human oversight needed to keep the deployment within acceptable bounds.
For compliance teams, an impact assessment helps prove that AI was reviewed before launch and that ongoing monitoring obligations were identified. This term is closely aligned with the EU AI Act’s conformity and risk-management logic, impact assessment approaches under privacy and employment laws, and AI governance frameworks such as ISO/IEC 42001 and NIST AI RMF; it also overlaps with adverse-impact analysis and broader AI impact assessment practices.
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