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Framework for legal, ethical and organizational rules to govern and control AI systems within organizations.
AI Regulation defines legal, ethical and organizational frameworks for governing and controlling AI systems. It encompasses laws, standards, oversight mechanisms and compliance processes that mitigate risks and ensure accountability. It connects legal requirements with technical controls and operational governance.
Percentage of products/models that comply with defined policies.
Recorded security or compliance incidents related to AI systems.
Average time from detection to remediated non-compliance.
Example of a comprehensive, legally binding framework for AI applications in Europe.
US non-binding framework for assessing and managing AI risks.
Example organizational setup with an ethics board, risk and approval processes.
Inventory: record relevant systems, data and responsibilities.
Perform risk classification of AI applications.
Define and document policies and approval workflows.
Implement technical controls (logging, monitoring, access).
Integrate regular audits and adjustments into operations.