
AI Governance
AI governance refers to the organizational policies, processes, and oversight mechanisms that ensure ethics, transparency, and accountability in AI system development and operation.
Clear explanations of AI, DX, and technology terminology

AI governance refers to the organizational policies, processes, and oversight mechanisms that ensure ethics, transparency, and accountability in AI system development and operation.

Knowledge and skills to understand the basic concepts, limitations, and risks of AI, and to appropriately utilize it in the workplace. Organizations are required to ensure this under the EU AI Act.

An operational practice of continuously monitoring and visualizing the inputs/outputs, latency, cost, and quality of AI systems in production. Essential for early detection of hallucinations and drift.


An evaluation method that systematically tests AI system vulnerabilities from an attacker's perspective to proactively identify safety risks.
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