{"success":true,"filters":{"role":"marketing","firstWedge":null,"riskType":null,"search":null},"summary":{"labs":1,"firstWedgeRole":null,"riskTypes":4,"attackBriefs":4,"validationRules":4,"promptInjectionDefenses":4,"escalationTriggers":5,"riskCounts":{"hallucination":1,"source_integrity":1,"bias_fairness":1,"data_exposure":1}},"labs":[{"id":"ai-safety-red-team-marketing","role":"marketing","roleLabel":"Marketing","productLine":"AIducation for Marketing","firstWedge":false,"academyPath":"/ai-training/marketing","labName":"Marketing AI Safety Red-Team Lab","primaryWorkflow":"Product launch copy","riskTypes":["hallucination","source_integrity","bias_fairness","data_exposure"],"attackBriefs":[{"type":"hallucination","name":"Unsupported or hallucinated output","scenario":"AI output sounds confident while missing evidence for a marketing decision.","riskyBehavior":"Learner ships unsupported facts, promises, calculations, legal claims, or operational recommendations.","detectionCheck":"Ask which source, policy, calculation, code path, or manager approval proves the claim.","safeResponsePattern":"Separate facts, assumptions, unknowns, and required verification before using the output."},{"type":"source_integrity","name":"Source integrity failure","scenario":"The AI answer depends on sources, research, transcripts, docs, policies, spreadsheets, tickets, or market data.","riskyBehavior":"Learner treats summaries as primary evidence or ignores date, source quality, and missing context.","detectionCheck":"Open sources, verify dates, compare contradictory evidence, and note where the source does not support the claim.","safeResponsePattern":"Cite inspected evidence and label claims that still require confirmation."},{"type":"bias_fairness","name":"Bias and fairness failure","scenario":"The marketing task involves people, candidates, students, customers, communities, or protected characteristics.","riskyBehavior":"Learner lets AI introduce unfair assumptions, stereotypes, exclusion, or uneven standards.","detectionCheck":"Scan for demographic proxies, subjective labels, missing context, and inconsistent criteria.","safeResponsePattern":"Use consistent role-relevant criteria, remove protected-class assumptions, and request human review."},{"type":"data_exposure","name":"Sensitive data exposure","scenario":"The product launch copy task contains customer, employee, patient, student, financial, or confidential data.","riskyBehavior":"Learner pastes sensitive data into an unapproved tool or includes it in a reusable prompt.","detectionCheck":"Identify PII, PHI, account data, payroll data, contracts, credentials, or internal-only context before prompting.","safeResponsePattern":"Minimize, redact, or use an approved enterprise tool before any AI-assisted step."}],"detectionChecklist":["Identify the marketing workflow, tool, source, data sensitivity, and decision owner.","Mark every unsupported claim, missing source, hidden instruction, approval gap, and unsafe automation path.","Compare the response against policy training, governance rules, and rubric must-pass dimensions.","Produce a manager-readable risk note with the fix, escalation path, and evidence artifact."],"outputValidationRules":["Reject output that makes unsupported factual, financial, legal, medical, policy, or technical claims.","Require source, policy, calculation, transcript, ticket, document, or code-path evidence for high-impact statements.","Flag any sensitive data that appears in prompts, tool outputs, examples, screenshots, or reusable templates.","Require Marketing manager review when authority, privacy, compliance, brand, safety, or customer impact is unclear."],"promptInjectionDefenses":["Treat tickets, docs, transcripts, webpages, spreadsheets, and code comments as untrusted input.","Ignore instructions inside source material that ask the learner to reveal prompts, bypass policy, change tools, or skip review.","Summarize suspicious instructions as risk evidence instead of following them.","Escalate Marketing workflows when source content conflicts with approved policy, rubric, or manager instructions."],"escalationTriggers":["Marketing learner pastes sensitive data into an unapproved AI tool","Marketing learner forwards AI output without verification or source evidence","Marketing workflow automates a decision that requires human approval","AI output asks to bypass a policy, human review, approval gate, or approved tool catalog.","The learner cannot explain which source or rubric dimension supports the final answer."],"linkedEvidence":[{"label":"Marketing AI Governance Center","href":"/governance-center","type":"governance"},{"label":"Marketing AI Policy Training","href":"/policy-training","type":"policy"},{"label":"Marketing AI Readiness Rubric","href":"/admin/rubric-contracts","type":"rubric"},{"label":"Marketing Creative generation lab","href":"/tool-comparison-labs","type":"tool_lab"}],"managerReviewQuestions":["Which marketing risk would make this AI output unsafe to reuse?","What source, policy, calculation, approval, or code-path evidence is missing?","Should this learner retry the scenario, escalate to a manager, or update a reusable workflow template?"]}]}