{"title":"Ethics, Truth, and Claim-Safety Rules","version":"1.0.0","rule_count":12,"rules":[{"id":"ETH-001","name":"No known false statement","domain":"ethics","layer":"sentence","strength":"hard_constraint","human_logic":"IF a statement is known to be false, THEN correct or remove it ELSE continue to evidence review.","when":{"path":"claim.known_false","operator":"eq","value":true},"then":[{"action":"block_publication","target":"claim"},{"action":"correct_or_remove","target":"claim"}],"else":[{"action":"retain","target":"current_text","reason":"No triggering condition is present."}],"unless":[],"because":"Truth is a non-negotiable constraint, not a style preference.","diagnostics":[],"examples":{},"source_ids":["WEB-012","WEB-013","BK-026"],"laka":{"smallest_sufficient_intervention":true,"primary_axes":["scope","depth","magnitude","reversibility"]}},{"id":"ETH-002","name":"Evaluate express and implied 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or accurately label it ELSE retain.","when":{"path":"proof.type","operator":"in","value":["credential","citation","endorsement","review","testimonial","user_count","case"]},"then":[{"action":"verify","target":"proof.provenance"},{"action":"remove_or_disclose","target":"proof","when":"unverifiable_or_synthetic"}],"else":[{"action":"retain","target":"current_text","reason":"No triggering condition is present."}],"unless":[],"because":"Invented proof exploits trust rather than earning it.","diagnostics":[],"examples":{},"source_ids":["WEB-012","BK-035"],"laka":{"smallest_sufficient_intervention":true,"primary_axes":["scope","depth","magnitude","reversibility"]}},{"id":"ETH-006","name":"Do not exploit vulnerability","domain":"ethics","layer":"document","strength":"hard_constraint","human_logic":"IF the audience is distressed, grieving, cognitively impaired, financially desperate, a child, or otherwise vulnerable, THEN remove coercive pressure and raise clarity, evidence, consent, and 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real consequences neutrally.","when":{"path":"reader.choice.exists","operator":"eq","value":true},"then":[{"action":"verify","target":"copy.choice_framing","forbid":["false_impossibility","shame","false_disloyalty","unsupported_danger"]},{"action":"state","target":"copy.real_consequences","tone":"neutral"}],"else":[{"action":"retain","target":"current_text","reason":"No triggering condition is present."}],"unless":[],"because":"Choice architecture should not disguise coercion as grammar.","diagnostics":[],"examples":{},"source_ids":["BK-035"],"laka":{"smallest_sufficient_intervention":true,"primary_axes":["scope","depth","magnitude","reversibility"]}},{"id":"ETH-008","name":"Preserve uncertainty in summaries","domain":"ethics","layer":"paragraph","strength":"hard_constraint","human_logic":"IF source material expresses uncertainty, disagreement, limitation, or conditionality, THEN preserve it in summary ELSE retain.","when":{"path":"source.epistemic_limits.exists","operator":"eq","value":true},"then":[{"action":"align","target":"summary.epistemic_limits","with":"source.epistemic_limits"}],"else":[{"action":"retain","target":"current_text","reason":"No triggering condition is present."}],"unless":[],"because":"Compression must not turn tentative evidence into certainty.","diagnostics":[],"examples":{},"source_ids":["BK-026","WEB-013"],"laka":{"smallest_sufficient_intervention":true,"primary_axes":["scope","depth","magnitude","reversibility"]}},{"id":"ETH-009","name":"Separate persuasion from information when needed","domain":"ethics","layer":"document","strength":"context_default","human_logic":"IF sponsorship, sales intent, advocacy, or conflict of interest could change reader interpretation, THEN disclose it early and plainly ELSE retain.","when":{"path":"document.material_interest.exists","operator":"eq","value":true},"then":[{"action":"disclose","target":"document.material_interest","position":"early","style":"plain"}],"else":[{"action":"retain","target":"current_text","reason":"No triggering condition is present."}],"unless":[],"because":"Readers need the communicator’s material role to evaluate the message.","diagnostics":[],"examples":{},"source_ids":["WEB-012","BK-026"],"laka":{"smallest_sufficient_intervention":true,"primary_axes":["scope","depth","magnitude","reversibility"]}},{"id":"ETH-010","name":"Protect private information","domain":"ethics","layer":"document","strength":"hard_constraint","human_logic":"IF a draft contains personal, confidential, credential, or security-sensitive information not necessary for the reader’s task, THEN redact or minimize it ELSE retain authorized necessary data.","when":{"all":[{"path":"document.sensitive_information.exists","operator":"eq","value":true},{"path":"document.sensitive_information.necessary","operator":"eq","value":false}]},"then":[{"action":"redact_or_minimize","target":"document.sensitive_information"},{"action":"verify","target":"document.access_scope"}],"else":[{"action":"retain","target":"current_text","reason":"No triggering condition is present."}],"unless":[],"because":"Useful writing does not require avoidable exposure.","diagnostics":[],"examples":{},"source_ids":["BK-026"],"laka":{"smallest_sufficient_intervention":true,"primary_axes":["scope","depth","magnitude","reversibility"]}},{"id":"ETH-011","name":"No discriminatory default","domain":"ethics","layer":"content_system","strength":"hard_constraint","human_logic":"IF examples, labels, or rules assign capability, risk, role, or worth by protected or irrelevant identity, THEN remove the inference and audit downstream rules ELSE retain identity only when relevant and responsibly handled.","when":{"path":"content.identity_based_unsupported_inference","operator":"eq","value":true},"then":[{"action":"remove","target":"content.unsupported_inference"},{"action":"audit","target":"content_system.downstream_rules"}],"else":[{"action":"retain","target":"current_text","reason":"No triggering condition is present."}],"unless":[],"because":"Bias can propagate through examples and automated rules.","diagnostics":[],"examples":{},"source_ids":["WEB-003","WEB-004","BK-026"],"laka":{"smallest_sufficient_intervention":true,"primary_axes":["scope","depth","magnitude","reversibility"]}},{"id":"ETH-012","name":"Human review for consequential automation","domain":"ethics","layer":"content_system","strength":"hard_constraint","human_logic":"IF generated writing can materially affect rights, safety, health, finances, employment, housing, or legal status, THEN require qualified human review, evidence trace, and appeal or correction path ELSE apply proportionate review.","when":{"path":"generated_content.consequence_domain","operator":"in","value":["rights","safety","health","finance","employment","housing","legal_status"]},"then":[{"action":"require","target":"generated_content.review","include":["qualified_human","evidence_trace","appeal_or_correction_path"]}],"else":[{"action":"retain","target":"current_text","reason":"No triggering condition is present."}],"unless":[],"because":"Consequential language systems need accountable judgment and recourse.","diagnostics":[],"examples":{},"source_ids":["BK-026","WEB-007"],"laka":{"smallest_sufficient_intervention":true,"primary_axes":["scope","depth","magnitude","reversibility"]}}]}