COMPEL Glossary / safety
Safety
Safety in AI means that systems are designed to operate reliably within their intended boundaries and fail gracefully when they encounter situations outside their training distribution.
What this means in practice
Safety is particularly critical in high-stakes domains -- healthcare, transportation, financial services, critical infrastructure -- where AI failures can cause physical, financial, or psychological harm. Safety practices include rigorous testing across edge cases and adversarial conditions, human-in-the-loop designs for consequential decisions, kill switches that allow rapid deactivation, and fallback mechanisms ensuring that AI unavailability does not cascade into broader system failures. For agentic AI systems, safety takes on additional dimensions: containment boundaries that limit agent action spaces, escalation protocols for novel situations, and real-time behavioral monitoring. The COMPEL framework addresses safety through its Agent Governance cross-cutting layer.
Why it matters
AI safety is critical in high-stakes domains where failures can cause physical, financial, or psychological harm. Safety goes beyond testing to encompass human-in-the-loop designs, kill switches, fallback mechanisms, and containment boundaries for agentic systems. Organizations that treat safety as an afterthought face catastrophic incidents that damage lives, trigger regulatory action, and destroy stakeholder trust in their AI programs.
How COMPEL uses it
COMPEL addresses safety through its Agent Governance cross-cutting layer, with requirements that escalate based on system risk classification and autonomy level. During the Model stage, safety requirements are designed into system architecture. The Produce stage implements safety mechanisms including containment boundaries and escalation protocols. The Evaluate stage tests safety through adversarial scenarios and verifies fallback mechanisms function correctly.
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Related Terms
Other glossary terms mentioned in this entry's definition and context.