LLM Safety Framework

An LLM Safety Framework is a safety framework that ensures safe operation of LLM systems.

• AKA: Language Model Safety Framework, AI Safety Framework, LLM Protection Framework, LLM Risk Management Framework.
• Context:
  • It can typically implement Fail-Safe LLM Enhancement Protocols for risk mitigation.
  • It can typically employ Exemplar Canary Mechanisms for early warning.
  • It can often utilize LLM Regression Detection Systems for safety monitoring.
  • It can often enforce Safety Constraints through policy rules.
  • It can range from being a Preventive LLM Safety Framework to being a Reactive LLM Safety Framework, depending on its intervention timing.
  • It can range from being a Technical LLM Safety Framework to being a Ethical LLM Safety Framework, depending on its focus area.
  • It can range from being a Rigid LLM Safety Framework to being a Adaptive LLM Safety Framework, depending on its flexibility level.
  • It can range from being a Minimal LLM Safety Framework to being a Comprehensive LLM Safety Framework, depending on its coverage scope.
  • ...
• Examples:
  • Content Safety Frameworks, such as:
    • Toxicity Prevention Framework for harmful content blocking.
    • Bias Mitigation Framework for fairness ensuring.
  • Operational Safety Frameworks, such as:
    • Resource Limit Framework for system protection.
    • Access Control Framework for security enforcement.
  • Quality Safety Frameworks, such as:
    • Accuracy Preservation Framework for truth maintenance.
    • Consistency Enforcement Framework for reliability assurance.
  • ...
• Counter-Examples:
  • Performance Framework, which prioritizes speed over safety.
  • Development Framework, which focuses on building rather than protection.
  • Unconstrained Framework, which lacks safety considerations.
• See: Safety Framework, Fail-Safe LLM Enhancement Protocol, Exemplar Canary Mechanism, LLM Quality Assurance System, Risk Management Framework, AI Safety, Security Framework.

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