A risk officer is drafting an AI-specific addition to the organization's business continuity plan. Which scenario is MOST unique to AI system failures compared to traditional IT system failures?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — you want the scenario where the model quietly gets worse and keeps producing outputs that look normal but are systematically wrong. That silent degradation is unique to AI because the system may still appear healthy while its decisions are already failing. Extended downtime, hardware replacement, and power outages are traditional IT continuity problems too.
Full Explanation
The correct scenario is gradual, silent degradation of model quality producing systematically wrong decisions before the failure is detected. Unlike traditional IT failures that are typically binary, where a system is either up or down, AI failures often continue producing outputs while quality deteriorates without visible errors, causing harm before detection. Extended downtime causing business process interruption, hardware failure requiring replacement of server infrastructure, and data center power outage affecting AI inference servers are traditional IT continuity issues that can affect AI but are not unique to it.