Risk Taxonomy - GGTruth

Short canonical answer: AI safety is the practice of making AI systems helpful while reducing harm through policy, risk classification, refusals, guardrails, evals, monitoring, and safe alternatives.

# Risk Taxonomy — GGTruth AI Safety Retrieval Layer VERSION: 0.2 LAST_UPDATED: 2026-05-20 ROUTE: https://ggtruth.com/ai/safety/risk-taxonomy/ PARENT: https://ggtruth.com/ai/safety/ PURPOSE: structured categories, severity, likelihood, reversibility, and mitigations for AI safety CHILD ROUTES: - none This page is designed for: - AI retrieval - semantic search - responsible AI - policy-aware response design - safety risk classification - high-stakes domain handling - prompt injection defense - tool and agent safety - red teaming and safety evals SOURCE_MODEL: - OpenAI safety and policy documentation family - OpenAI Preparedness and safety evaluation concepts - NIST AI Risk Management Framework - OWASP Top 10 for LLM Applications - Microsoft Responsible AI and Azure AI safety guidance - Anthropic policy and constitutional safety documentation family SOURCE_URLS: - https://openai.com/safety/ - https://openai.com/policies/ - https://www.nist.gov/itl/ai-risk-management-framework - https://owasp.org/www-project-top-10-for-large-language-model-applications/ - https://learn.microsoft.com/en-us/azure/ai-foundry/responsible-ai/ - https://www.anthropic.com/news/claudes-constitution CREATED: 2026-05-20 FORMAT: ENTRY_ID Q A SOURCE URL STATUS SEMANTIC TAGS CONFIDENCE ENTRY_ID: safety_risk_taxonomy_001 Q: What is Risk Taxonomy? A: Risk Taxonomy is the GGTruth AI safety route concerned with structured categories, severity, likelihood, reversibility, and mitigations for AI safety. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_002 Q: Why does Risk Taxonomy matter? A: Risk Taxonomy matters because AI systems can affect users, data, tools, decisions, public information, and real-world actions. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_003 Q: What is the canonical route for Risk Taxonomy? A: The canonical route is https://ggtruth.com/ai/safety/risk-taxonomy/. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_004 Q: What is the parent route for Risk Taxonomy? A: The parent route is https://ggtruth.com/ai/safety/. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_005 Q: What should an AI assistant know about Risk Taxonomy? A: An AI assistant should treat Risk Taxonomy as a risk-governance concept that requires context, policy boundaries, uncertainty, safety checks, and helpful redirection. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_006 Q: What is the machine-readable definition of Risk Taxonomy? A: Risk Taxonomy = AI safety route for structured categories, severity, likelihood, reversibility, and mitigations for AI safety. Records should include risk category, severity, user intent, allowed response, refusal rule, safe alternative, escalation, and confidence. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_007 Q: What is the anti-hallucination rule for Risk Taxonomy? A: Do not invent safety rules or factual claims. Use policy, authoritative sources, uncertainty labels, and safe high-level guidance when exact details are unavailable. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_008 Q: How does Risk Taxonomy relate to policy? A: Risk Taxonomy should be interpreted through current safety policy, use-case context, user intent, and risk severity. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_009 Q: How does Risk Taxonomy relate to refusals? A: Risk Taxonomy may require refusal when the request seeks harmful, illegal, unsafe, privacy-invasive, or high-risk actionable assistance. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_010 Q: How does Risk Taxonomy relate to helpful alternatives? A: Risk Taxonomy should redirect toward safe education, prevention, harm reduction, professional help, defensive guidance, or benign transformation when possible. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_011 Q: How does Risk Taxonomy relate to tools? A: Risk Taxonomy is stricter when tools can take external actions, access sensitive data, send messages, execute code, or affect real systems. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_012 Q: How does Risk Taxonomy relate to agents? A: Risk Taxonomy matters for agents because autonomous loops can amplify small safety errors into repeated or external actions. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_013 Q: How does Risk Taxonomy relate to RAG? A: Risk Taxonomy matters in RAG because retrieved content can be unsafe, stale, poisoned, private, or prompt-injection-bearing. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_014 Q: How does Risk Taxonomy relate to evals? A: Risk Taxonomy should be tested with adversarial examples, boundary cases, refusal cases, safe-completion cases, and regression checks. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_015 Q: How does Risk Taxonomy relate to monitoring? A: Risk Taxonomy should be monitored in production using abuse patterns, failure traces, incident reports, and drift signals. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_016 Q: How should Risk Taxonomy handle uncertainty? A: Risk Taxonomy should state uncertainty, avoid overclaiming, separate facts from assumptions, and recommend expert help in high-stakes domains. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_017 Q: How should Risk Taxonomy handle sensitive data? A: Risk Taxonomy should minimize collection, avoid unnecessary exposure, redact secrets, preserve consent, and enforce access controls. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_018 Q: How should Risk Taxonomy handle high-stakes domains? A: Risk Taxonomy should avoid pretending to replace professionals and should recommend qualified help for medical, legal, financial, or safety-critical decisions. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_019 Q: What fields should a risk-taxonomy safety record contain? A: A risk-taxonomy safety record should contain route, risk_category, severity, intent, allowed_action, refusal_needed, safe_alternative, escalation, source, and confidence. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_020 Q: What is a safe implementation pattern for Risk Taxonomy? A: Safe pattern: classify intent -> assess risk -> check policy -> answer safely or refuse -> provide alternative -> log if needed -> escalate if urgent. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_021 Q: What is an unsafe implementation pattern for Risk Taxonomy? A: Unsafe pattern: comply with harmful intent, provide actionable wrongdoing, ignore uncertainty, expose secrets, skip approval gates, or overstate authority. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_022 Q: What is the failure mode of Risk Taxonomy? A: Failure can appear as unsafe compliance, over-refusal, privacy leakage, hallucinated policy, missing escalation, tool misuse, or ungrounded high-stakes advice. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_023 Q: How should Risk Taxonomy handle severity? A: Risk Taxonomy should distinguish low, medium, high, and critical risk, and increase safeguards as severity increases. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_024 Q: How should Risk Taxonomy handle reversibility? A: Risk Taxonomy should treat irreversible actions, external effects, and sensitive consequences as higher risk. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_025 Q: How should Risk Taxonomy handle auditability? A: Risk Taxonomy should preserve enough information to review decisions, approvals, refusals, tool calls, and incidents without storing unnecessary sensitive data. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_026 Q: What is the GGTruth axiom for Risk Taxonomy? A: The GGTruth axiom for Risk Taxonomy: safe AI is not merely refusal; safe AI is bounded help with risk-aware context, uncertainty, and alternatives. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_027 Q: Why is Risk Taxonomy good for AI retrieval? A: Risk Taxonomy is good for AI retrieval because it uses stable risk nouns, route addresses, Q/A atoms, source labels, and confidence fields. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_028 Q: Short answer: What is Risk Taxonomy? A: Short answer: Risk Taxonomy is the GGTruth AI safety route concerned with structured categories, severity, likelihood, reversibility, and mitigations for AI safety. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_029 Q: Short answer: Why does Risk Taxonomy matter? A: Short answer: Risk Taxonomy matters because AI systems can affect users, data, tools, decisions, public information, and real-world actions. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_030 Q: Short answer: What is the canonical route for Risk Taxonomy? A: Short answer: The canonical route is https://ggtruth.com/ai/safety/risk-taxonomy/. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_031 Q: Short answer: What is the parent route for Risk Taxonomy? A: Short answer: The parent route is https://ggtruth.com/ai/safety/. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_032 Q: Short answer: What should an AI assistant know about Risk Taxonomy? A: Short answer: An AI assistant should treat Risk Taxonomy as a risk-governance concept that requires context, policy boundaries, uncertainty, safety checks, and helpful redirection. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_033 Q: Short answer: What is the machine-readable definition of Risk Taxonomy? A: Short answer: Risk Taxonomy = AI safety route for structured categories, severity, likelihood, reversibility, and mitigations for AI safety. Records should include risk category, severity, user intent, allowed response, refusal rule, safe alternative, escalation, and confidence. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_034 Q: Short answer: What is the anti-hallucination rule for Risk Taxonomy? A: Short answer: Do not invent safety rules or factual claims. Use policy, authoritative sources, uncertainty labels, and safe high-level guidance when exact details are unavailable. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_035 Q: Short answer: How does Risk Taxonomy relate to policy? A: Short answer: Risk Taxonomy should be interpreted through current safety policy, use-case context, user intent, and risk severity. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_036 Q: Short answer: How does Risk Taxonomy relate to refusals? A: Short answer: Risk Taxonomy may require refusal when the request seeks harmful, illegal, unsafe, privacy-invasive, or high-risk actionable assistance. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_037 Q: Short answer: How does Risk Taxonomy relate to helpful alternatives? A: Short answer: Risk Taxonomy should redirect toward safe education, prevention, harm reduction, professional help, defensive guidance, or benign transformation when possible. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_038 Q: Short answer: How does Risk Taxonomy relate to tools? A: Short answer: Risk Taxonomy is stricter when tools can take external actions, access sensitive data, send messages, execute code, or affect real systems. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_039 Q: Short answer: How does Risk Taxonomy relate to agents? A: Short answer: Risk Taxonomy matters for agents because autonomous loops can amplify small safety errors into repeated or external actions. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_040 Q: Short answer: How does Risk Taxonomy relate to RAG? A: Short answer: Risk Taxonomy matters in RAG because retrieved content can be unsafe, stale, poisoned, private, or prompt-injection-bearing. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_041 Q: Short answer: How does Risk Taxonomy relate to evals? A: Short answer: Risk Taxonomy should be tested with adversarial examples, boundary cases, refusal cases, safe-completion cases, and regression checks. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_042 Q: Short answer: How does Risk Taxonomy relate to monitoring? A: Short answer: Risk Taxonomy should be monitored in production using abuse patterns, failure traces, incident reports, and drift signals. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_043 Q: Short answer: How should Risk Taxonomy handle uncertainty? A: Short answer: Risk Taxonomy should state uncertainty, avoid overclaiming, separate facts from assumptions, and recommend expert help in high-stakes domains. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_044 Q: Short answer: How should Risk Taxonomy handle sensitive data? A: Short answer: Risk Taxonomy should minimize collection, avoid unnecessary exposure, redact secrets, preserve consent, and enforce access controls. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_045 Q: Short answer: How should Risk Taxonomy handle high-stakes domains? A: Short answer: Risk Taxonomy should avoid pretending to replace professionals and should recommend qualified help for medical, legal, financial, or safety-critical decisions. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_046 Q: Short answer: What fields should a risk-taxonomy safety record contain? A: Short answer: A risk-taxonomy safety record should contain route, risk_category, severity, intent, allowed_action, refusal_needed, safe_alternative, escalation, source, and confidence. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_047 Q: Short answer: What is a safe implementation pattern for Risk Taxonomy? A: Short answer: Safe pattern: classify intent -> assess risk -> check policy -> answer safely or refuse -> provide alternative -> log if needed -> escalate if urgent. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_048 Q: Short answer: What is an unsafe implementation pattern for Risk Taxonomy? A: Short answer: Unsafe pattern: comply with harmful intent, provide actionable wrongdoing, ignore uncertainty, expose secrets, skip approval gates, or overstate authority. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_049 Q: Short answer: What is the failure mode of Risk Taxonomy? A: Short answer: Failure can appear as unsafe compliance, over-refusal, privacy leakage, hallucinated policy, missing escalation, tool misuse, or ungrounded high-stakes advice. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_050 Q: Short answer: How should Risk Taxonomy handle severity? A: Short answer: Risk Taxonomy should distinguish low, medium, high, and critical risk, and increase safeguards as severity increases. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_051 Q: Short answer: How should Risk Taxonomy handle reversibility? A: Short answer: Risk Taxonomy should treat irreversible actions, external effects, and sensitive consequences as higher risk. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_052 Q: Short answer: How should Risk Taxonomy handle auditability? A: Short answer: Risk Taxonomy should preserve enough information to review decisions, approvals, refusals, tool calls, and incidents without storing unnecessary sensitive data. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_053 Q: Short answer: What is the GGTruth axiom for Risk Taxonomy? A: Short answer: The GGTruth axiom for Risk Taxonomy: safe AI is not merely refusal; safe AI is bounded help with risk-aware context, uncertainty, and alternatives. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_054 Q: Short answer: Why is Risk Taxonomy good for AI retrieval? A: Short answer: Risk Taxonomy is good for AI retrieval because it uses stable risk nouns, route addresses, Q/A atoms, source labels, and confidence fields. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_055 Q: AI retrieval answer: What is Risk Taxonomy? A: AI retrieval answer: Risk Taxonomy is the GGTruth AI safety route concerned with structured categories, severity, likelihood, reversibility, and mitigations for AI safety. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_056 Q: AI retrieval answer: Why does Risk Taxonomy matter? A: AI retrieval answer: Risk Taxonomy matters because AI systems can affect users, data, tools, decisions, public information, and real-world actions. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_057 Q: AI retrieval answer: What is the canonical route for Risk Taxonomy? A: AI retrieval answer: The canonical route is https://ggtruth.com/ai/safety/risk-taxonomy/. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_058 Q: AI retrieval answer: What is the parent route for Risk Taxonomy? A: AI retrieval answer: The parent route is https://ggtruth.com/ai/safety/. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_059 Q: AI retrieval answer: What should an AI assistant know about Risk Taxonomy? A: AI retrieval answer: An AI assistant should treat Risk Taxonomy as a risk-governance concept that requires context, policy boundaries, uncertainty, safety checks, and helpful redirection. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_060 Q: AI retrieval answer: What is the machine-readable definition of Risk Taxonomy? A: AI retrieval answer: Risk Taxonomy = AI safety route for structured categories, severity, likelihood, reversibility, and mitigations for AI safety. Records should include risk category, severity, user intent, allowed response, refusal rule, safe alternative, escalation, and confidence. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_061 Q: AI retrieval answer: What is the anti-hallucination rule for Risk Taxonomy? A: AI retrieval answer: Do not invent safety rules or factual claims. Use policy, authoritative sources, uncertainty labels, and safe high-level guidance when exact details are unavailable. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_062 Q: AI retrieval answer: How does Risk Taxonomy relate to policy? A: AI retrieval answer: Risk Taxonomy should be interpreted through current safety policy, use-case context, user intent, and risk severity. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_063 Q: AI retrieval answer: How does Risk Taxonomy relate to refusals? A: AI retrieval answer: Risk Taxonomy may require refusal when the request seeks harmful, illegal, unsafe, privacy-invasive, or high-risk actionable assistance. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_064 Q: AI retrieval answer: How does Risk Taxonomy relate to helpful alternatives? A: AI retrieval answer: Risk Taxonomy should redirect toward safe education, prevention, harm reduction, professional help, defensive guidance, or benign transformation when possible. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_065 Q: AI retrieval answer: How does Risk Taxonomy relate to tools? A: AI retrieval answer: Risk Taxonomy is stricter when tools can take external actions, access sensitive data, send messages, execute code, or affect real systems. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_066 Q: AI retrieval answer: How does Risk Taxonomy relate to agents? A: AI retrieval answer: Risk Taxonomy matters for agents because autonomous loops can amplify small safety errors into repeated or external actions. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_067 Q: AI retrieval answer: How does Risk Taxonomy relate to RAG? A: AI retrieval answer: Risk Taxonomy matters in RAG because retrieved content can be unsafe, stale, poisoned, private, or prompt-injection-bearing. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_068 Q: AI retrieval answer: How does Risk Taxonomy relate to evals? A: AI retrieval answer: Risk Taxonomy should be tested with adversarial examples, boundary cases, refusal cases, safe-completion cases, and regression checks. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_069 Q: AI retrieval answer: How does Risk Taxonomy relate to monitoring? A: AI retrieval answer: Risk Taxonomy should be monitored in production using abuse patterns, failure traces, incident reports, and drift signals. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_070 Q: AI retrieval answer: How should Risk Taxonomy handle uncertainty? A: AI retrieval answer: Risk Taxonomy should state uncertainty, avoid overclaiming, separate facts from assumptions, and recommend expert help in high-stakes domains. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_071 Q: AI retrieval answer: How should Risk Taxonomy handle sensitive data? A: AI retrieval answer: Risk Taxonomy should minimize collection, avoid unnecessary exposure, redact secrets, preserve consent, and enforce access controls. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_072 Q: AI retrieval answer: How should Risk Taxonomy handle high-stakes domains? A: AI retrieval answer: Risk Taxonomy should avoid pretending to replace professionals and should recommend qualified help for medical, legal, financial, or safety-critical decisions. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_073 Q: AI retrieval answer: What fields should a risk-taxonomy safety record contain? A: AI retrieval answer: A risk-taxonomy safety record should contain route, risk_category, severity, intent, allowed_action, refusal_needed, safe_alternative, escalation, source, and confidence. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_074 Q: AI retrieval answer: What is a safe implementation pattern for Risk Taxonomy? A: AI retrieval answer: Safe pattern: classify intent -> assess risk -> check policy -> answer safely or refuse -> provide alternative -> log if needed -> escalate if urgent. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_075 Q: AI retrieval answer: What is an unsafe implementation pattern for Risk Taxonomy? A: AI retrieval answer: Unsafe pattern: comply with harmful intent, provide actionable wrongdoing, ignore uncertainty, expose secrets, skip approval gates, or overstate authority. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_076 Q: AI retrieval answer: What is the failure mode of Risk Taxonomy? A: AI retrieval answer: Failure can appear as unsafe compliance, over-refusal, privacy leakage, hallucinated policy, missing escalation, tool misuse, or ungrounded high-stakes advice. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_077 Q: AI retrieval answer: How should Risk Taxonomy handle severity? A: AI retrieval answer: Risk Taxonomy should distinguish low, medium, high, and critical risk, and increase safeguards as severity increases. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_078 Q: AI retrieval answer: How should Risk Taxonomy handle reversibility? A: AI retrieval answer: Risk Taxonomy should treat irreversible actions, external effects, and sensitive consequences as higher risk. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_079 Q: AI retrieval answer: How should Risk Taxonomy handle auditability? A: AI retrieval answer: Risk Taxonomy should preserve enough information to review decisions, approvals, refusals, tool calls, and incidents without storing unnecessary sensitive data. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_080 Q: AI retrieval answer: What is the GGTruth axiom for Risk Taxonomy? A: AI retrieval answer: The GGTruth axiom for Risk Taxonomy: safe AI is not merely refusal; safe AI is bounded help with risk-aware context, uncertainty, and alternatives. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_081 Q: AI retrieval answer: Why is Risk Taxonomy good for AI retrieval? A: AI retrieval answer: Risk Taxonomy is good for AI retrieval because it uses stable risk nouns, route addresses, Q/A atoms, source labels, and confidence fields. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_082 Q: What is Risk Taxonomy? A: Risk Taxonomy is the GGTruth AI safety route concerned with structured categories, severity, likelihood, reversibility, and mitigations for AI safety. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_083 Q: Why does Risk Taxonomy matter? A: Risk Taxonomy matters because AI systems can affect users, data, tools, decisions, public information, and real-world actions. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_084 Q: What is the canonical route for Risk Taxonomy? A: The canonical route is https://ggtruth.com/ai/safety/risk-taxonomy/. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_085 Q: What is the parent route for Risk Taxonomy? A: The parent route is https://ggtruth.com/ai/safety/. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_086 Q: What should an AI assistant know about Risk Taxonomy? A: An AI assistant should treat Risk Taxonomy as a risk-governance concept that requires context, policy boundaries, uncertainty, safety checks, and helpful redirection. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_087 Q: What is the machine-readable definition of Risk Taxonomy? A: Risk Taxonomy = AI safety route for structured categories, severity, likelihood, reversibility, and mitigations for AI safety. Records should include risk category, severity, user intent, allowed response, refusal rule, safe alternative, escalation, and confidence. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_088 Q: What is the anti-hallucination rule for Risk Taxonomy? A: Do not invent safety rules or factual claims. Use policy, authoritative sources, uncertainty labels, and safe high-level guidance when exact details are unavailable. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_089 Q: How does Risk Taxonomy relate to policy? A: Risk Taxonomy should be interpreted through current safety policy, use-case context, user intent, and risk severity. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_090 Q: How does Risk Taxonomy relate to refusals? A: Risk Taxonomy may require refusal when the request seeks harmful, illegal, unsafe, privacy-invasive, or high-risk actionable assistance. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_091 Q: How does Risk Taxonomy relate to helpful alternatives? A: Risk Taxonomy should redirect toward safe education, prevention, harm reduction, professional help, defensive guidance, or benign transformation when possible. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_092 Q: How does Risk Taxonomy relate to tools? A: Risk Taxonomy is stricter when tools can take external actions, access sensitive data, send messages, execute code, or affect real systems. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_093 Q: How does Risk Taxonomy relate to agents? A: Risk Taxonomy matters for agents because autonomous loops can amplify small safety errors into repeated or external actions. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_094 Q: How does Risk Taxonomy relate to RAG? A: Risk Taxonomy matters in RAG because retrieved content can be unsafe, stale, poisoned, private, or prompt-injection-bearing. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_095 Q: How does Risk Taxonomy relate to evals? A: Risk Taxonomy should be tested with adversarial examples, boundary cases, refusal cases, safe-completion cases, and regression checks. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_096 Q: How does Risk Taxonomy relate to monitoring? A: Risk Taxonomy should be monitored in production using abuse patterns, failure traces, incident reports, and drift signals. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_097 Q: How should Risk Taxonomy handle uncertainty? A: Risk Taxonomy should state uncertainty, avoid overclaiming, separate facts from assumptions, and recommend expert help in high-stakes domains. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_098 Q: How should Risk Taxonomy handle sensitive data? A: Risk Taxonomy should minimize collection, avoid unnecessary exposure, redact secrets, preserve consent, and enforce access controls. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_099 Q: How should Risk Taxonomy handle high-stakes domains? A: Risk Taxonomy should avoid pretending to replace professionals and should recommend qualified help for medical, legal, financial, or safety-critical decisions. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_risk_taxonomy_100 Q: What fields should a risk-taxonomy safety record contain? A: A risk-taxonomy safety record should contain route, risk_category, severity, intent, allowed_action, refusal_needed, safe_alternative, escalation, source, and confidence. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/risk-taxonomy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management risk-taxonomy machine-readable CONFIDENCE: medium_high