AI Governance Institute
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Edge AI

Edge AI refers to machine learning models and inference systems deployed directly on devices at the network's edge, such as smartphones, IoT sensors, and embedded hardware, rather than relying solely on cloud-based processing. This approach presents distinct governance challenges including model versioning across distributed devices, data residency compliance, and monitoring inference decisions made outside centralized systems. Organizations must establish policies for edge model updates, security hardening of edge devices, and audit trails for decisions made locally to maintain compliance with regulatory requirements and risk management standards.

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