II.
Workflow overview
Reference · liveworkflow:ai-content-moderation-review
AI Content Moderation Review overview
Reviews the effectiveness of AI-powered content moderation systems — measuring precision and recall of toxicity classifiers, auditing false-positive rates and appeal outcomes, validating moderation policy alignment with updated content guidelines, benchmarking latency for real-time moderation endpoints, and testing adversarial bypass resistance. Excludes moderation policy authoring and classifier training.
Attributes
displayName
AI Content Moderation Review
workflowKind
governance
triggerType
scheduled
typicalCadence
monthly
complexity
cross-team
description
Reviews the effectiveness of AI-powered content moderation systems —
measuring precision and recall of toxicity classifiers, auditing
false-positive rates and appeal outcomes, validating moderation policy
alignment with updated content guidelines, benchmarking latency for
real-time moderation endpoints, and testing adversarial bypass resistance.
Excludes moderation policy authoring and classifier training.
Outgoing edges
applies_to_domain2
- domain:ml-ops·DomainMLOps
- domain:security·DomainSecurity
involves_role3
- role:ai-champion·RoleAI Champion
- role:security-reviewer·RoleSecurity Reviewer
- role:ml-engineer·RoleMachine Learning Engineer
performed_by_org_unit3
- org-unit:ai-enablement·OrgUnitAI Enablement
- org-unit:ml-team·OrgUnitML Team
- org-unit:application-security-team·OrgUnitApplication Security Team
requires_skill_area2
- skill-area:prompt-engineering·SkillAreaPrompt Engineering
- skill-area:eval-driven-development·SkillAreaEval-Driven LLM Development
triggers_responsibility2
- responsibility:ai-safety-guardrails·Responsibility
- responsibility:ai-agent-usage-review·Responsibility
Incoming edges
None.