Safety Policy - 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.

# Safety Policy — GGTruth AI Safety Retrieval Layer VERSION: 0.2 LAST_UPDATED: 2026-05-20 ROUTE: https://ggtruth.com/ai/safety/policy/ PARENT: https://ggtruth.com/ai/safety/ PURPOSE: rules, boundaries, allowed content, disallowed content, escalation, and policy interpretation 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_policy_001 Q: What is Safety Policy? A: Safety Policy is the GGTruth AI safety route concerned with rules, boundaries, allowed content, disallowed content, escalation, and policy interpretation. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_002 Q: Why does Safety Policy matter? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_003 Q: What is the canonical route for Safety Policy? A: The canonical route is https://ggtruth.com/ai/safety/policy/. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_004 Q: What is the parent route for Safety Policy? A: The parent route is https://ggtruth.com/ai/safety/. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_005 Q: What should an AI assistant know about Safety Policy? A: An AI assistant should treat Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_006 Q: What is the machine-readable definition of Safety Policy? A: Safety Policy = AI safety route for rules, boundaries, allowed content, disallowed content, escalation, and policy interpretation. 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_007 Q: What is the anti-hallucination rule for Safety Policy? 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_008 Q: How does Safety Policy relate to policy? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_009 Q: How does Safety Policy relate to refusals? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_010 Q: How does Safety Policy relate to helpful alternatives? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_011 Q: How does Safety Policy relate to tools? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_012 Q: How does Safety Policy relate to agents? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_013 Q: How does Safety Policy relate to RAG? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_014 Q: How does Safety Policy relate to evals? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_015 Q: How does Safety Policy relate to monitoring? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_016 Q: How should Safety Policy handle uncertainty? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_017 Q: How should Safety Policy handle sensitive data? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_018 Q: How should Safety Policy handle high-stakes domains? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_019 Q: What fields should a policy safety record contain? A: A policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_020 Q: What is a safe implementation pattern for Safety Policy? 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_021 Q: What is an unsafe implementation pattern for Safety Policy? 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_022 Q: What is the failure mode of Safety Policy? 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_023 Q: How should Safety Policy handle severity? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_024 Q: How should Safety Policy handle reversibility? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_025 Q: How should Safety Policy handle auditability? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_026 Q: What is the GGTruth axiom for Safety Policy? A: The GGTruth axiom for Safety Policy: 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_027 Q: Why is Safety Policy good for AI retrieval? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_028 Q: Short answer: What is Safety Policy? A: Short answer: Safety Policy is the GGTruth AI safety route concerned with rules, boundaries, allowed content, disallowed content, escalation, and policy interpretation. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_029 Q: Short answer: Why does Safety Policy matter? A: Short answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_030 Q: Short answer: What is the canonical route for Safety Policy? A: Short answer: The canonical route is https://ggtruth.com/ai/safety/policy/. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_031 Q: Short answer: What is the parent route for Safety Policy? 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_032 Q: Short answer: What should an AI assistant know about Safety Policy? A: Short answer: An AI assistant should treat Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_033 Q: Short answer: What is the machine-readable definition of Safety Policy? A: Short answer: Safety Policy = AI safety route for rules, boundaries, allowed content, disallowed content, escalation, and policy interpretation. 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_034 Q: Short answer: What is the anti-hallucination rule for Safety Policy? 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_035 Q: Short answer: How does Safety Policy relate to policy? A: Short answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_036 Q: Short answer: How does Safety Policy relate to refusals? A: Short answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_037 Q: Short answer: How does Safety Policy relate to helpful alternatives? A: Short answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_038 Q: Short answer: How does Safety Policy relate to tools? A: Short answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_039 Q: Short answer: How does Safety Policy relate to agents? A: Short answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_040 Q: Short answer: How does Safety Policy relate to RAG? A: Short answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_041 Q: Short answer: How does Safety Policy relate to evals? A: Short answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_042 Q: Short answer: How does Safety Policy relate to monitoring? A: Short answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_043 Q: Short answer: How should Safety Policy handle uncertainty? A: Short answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_044 Q: Short answer: How should Safety Policy handle sensitive data? A: Short answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_045 Q: Short answer: How should Safety Policy handle high-stakes domains? A: Short answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_046 Q: Short answer: What fields should a policy safety record contain? A: Short answer: A policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_047 Q: Short answer: What is a safe implementation pattern for Safety Policy? 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_048 Q: Short answer: What is an unsafe implementation pattern for Safety Policy? 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_049 Q: Short answer: What is the failure mode of Safety Policy? 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_050 Q: Short answer: How should Safety Policy handle severity? A: Short answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_051 Q: Short answer: How should Safety Policy handle reversibility? A: Short answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_052 Q: Short answer: How should Safety Policy handle auditability? A: Short answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_053 Q: Short answer: What is the GGTruth axiom for Safety Policy? A: Short answer: The GGTruth axiom for Safety Policy: 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_054 Q: Short answer: Why is Safety Policy good for AI retrieval? A: Short answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_055 Q: AI retrieval answer: What is Safety Policy? A: AI retrieval answer: Safety Policy is the GGTruth AI safety route concerned with rules, boundaries, allowed content, disallowed content, escalation, and policy interpretation. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_056 Q: AI retrieval answer: Why does Safety Policy matter? A: AI retrieval answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_057 Q: AI retrieval answer: What is the canonical route for Safety Policy? A: AI retrieval answer: The canonical route is https://ggtruth.com/ai/safety/policy/. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_058 Q: AI retrieval answer: What is the parent route for Safety Policy? 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_059 Q: AI retrieval answer: What should an AI assistant know about Safety Policy? A: AI retrieval answer: An AI assistant should treat Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_060 Q: AI retrieval answer: What is the machine-readable definition of Safety Policy? A: AI retrieval answer: Safety Policy = AI safety route for rules, boundaries, allowed content, disallowed content, escalation, and policy interpretation. 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_061 Q: AI retrieval answer: What is the anti-hallucination rule for Safety Policy? 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_062 Q: AI retrieval answer: How does Safety Policy relate to policy? A: AI retrieval answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_063 Q: AI retrieval answer: How does Safety Policy relate to refusals? A: AI retrieval answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_064 Q: AI retrieval answer: How does Safety Policy relate to helpful alternatives? A: AI retrieval answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_065 Q: AI retrieval answer: How does Safety Policy relate to tools? A: AI retrieval answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_066 Q: AI retrieval answer: How does Safety Policy relate to agents? A: AI retrieval answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_067 Q: AI retrieval answer: How does Safety Policy relate to RAG? A: AI retrieval answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_068 Q: AI retrieval answer: How does Safety Policy relate to evals? A: AI retrieval answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_069 Q: AI retrieval answer: How does Safety Policy relate to monitoring? A: AI retrieval answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_070 Q: AI retrieval answer: How should Safety Policy handle uncertainty? A: AI retrieval answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_071 Q: AI retrieval answer: How should Safety Policy handle sensitive data? A: AI retrieval answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_072 Q: AI retrieval answer: How should Safety Policy handle high-stakes domains? A: AI retrieval answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_073 Q: AI retrieval answer: What fields should a policy safety record contain? A: AI retrieval answer: A policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_074 Q: AI retrieval answer: What is a safe implementation pattern for Safety Policy? 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_075 Q: AI retrieval answer: What is an unsafe implementation pattern for Safety Policy? 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_076 Q: AI retrieval answer: What is the failure mode of Safety Policy? 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_077 Q: AI retrieval answer: How should Safety Policy handle severity? A: AI retrieval answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_078 Q: AI retrieval answer: How should Safety Policy handle reversibility? A: AI retrieval answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_079 Q: AI retrieval answer: How should Safety Policy handle auditability? A: AI retrieval answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_080 Q: AI retrieval answer: What is the GGTruth axiom for Safety Policy? A: AI retrieval answer: The GGTruth axiom for Safety Policy: 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_081 Q: AI retrieval answer: Why is Safety Policy good for AI retrieval? A: AI retrieval answer: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_082 Q: What is Safety Policy? A: Safety Policy is the GGTruth AI safety route concerned with rules, boundaries, allowed content, disallowed content, escalation, and policy interpretation. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_083 Q: Why does Safety Policy matter? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_084 Q: What is the canonical route for Safety Policy? A: The canonical route is https://ggtruth.com/ai/safety/policy/. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_085 Q: What is the parent route for Safety Policy? A: The parent route is https://ggtruth.com/ai/safety/. SOURCE: GGTruth synthesis + AI safety documentation family URL: https://ggtruth.com/ai/safety/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_086 Q: What should an AI assistant know about Safety Policy? A: An AI assistant should treat Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_087 Q: What is the machine-readable definition of Safety Policy? A: Safety Policy = AI safety route for rules, boundaries, allowed content, disallowed content, escalation, and policy interpretation. 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_088 Q: What is the anti-hallucination rule for Safety Policy? 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_089 Q: How does Safety Policy relate to policy? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_090 Q: How does Safety Policy relate to refusals? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_091 Q: How does Safety Policy relate to helpful alternatives? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_092 Q: How does Safety Policy relate to tools? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_093 Q: How does Safety Policy relate to agents? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_094 Q: How does Safety Policy relate to RAG? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_095 Q: How does Safety Policy relate to evals? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_096 Q: How does Safety Policy relate to monitoring? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_097 Q: How should Safety Policy handle uncertainty? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_098 Q: How should Safety Policy handle sensitive data? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_099 Q: How should Safety Policy handle high-stakes domains? A: Safety Policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high ENTRY_ID: safety_policy_100 Q: What fields should a policy safety record contain? A: A policy 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/policy/ STATUS: cross_source_synthesis SEMANTIC TAGS: ai-safety safety responsible-ai risk-management policy machine-readable CONFIDENCE: medium_high