# XIX. GOVERNANCE ## **19.1 SCF Governance Doctrine** ### **19.1.1 Governance by Record.** 19.1.1.1 **SCF shall be governed by record.** Every material competency object, learning object, credential object, WILP, assessment pathway, mentor role, reviewer role, Competence Cell, National Skills Map, Marketplace listing, Registry record, public-safe display, Nexus Universe output, National Portfolio competency input, correction, withdrawal, archive, and non-continuation shall be capable of being traced to a recorded source, scope, steward, version, evidence basis, review status, access class, display condition, boundary notice, correction pathway, and archive rule. 19.1.1.2 Governance by record shall prevent informal authority, hidden credentialing, undocumented recognition, silent equivalence, unrecorded employer validation, unreviewed public authority implication, sponsor influence, provider capture, data misuse, and credential overclaim. The existence of a record shall make a claim traceable, reviewable, correctable, and bounded; it shall not convert the recorded object into a professional license, employment guarantee, public authority approval, procurement qualification, finance signal, insurance signal, deployment authorization, or execution authority. 19.1.1.3 SCF records shall be maintained in appropriate registers, ledgers, repositories, Registry surfaces, ILA records, iCRS records, WILP records, competency registers, labor-market intelligence registers, learning evidence registers, correction registers, and archive registers. Records may be open, controlled, restricted, secure-room-only, data-room-only, public-safe, private, sealed, archived, or non-continuing according to their classification and lawful basis. 19.1.1.4 No SCF process shall rely on undocumented custom, implied approval, informal endorsement, private representation, oral assurance, promotional language, sponsor statement, provider assertion, employer signal, public authority attendance, or platform display as a substitute for a recorded governance basis. ### **19.1.2 Governance by Evidence.** 19.1.2.1 **SCF shall be governed by evidence.** Competency claims, learning claims, micro-credential claims, badge claims, WILP claims, reviewer claims, maintainer claims, mentor claims, National Capacity claims, Marketplace claims, Registry status claims, Reports claims, and Nexus Universe display claims shall be supported by evidence appropriate to their scope, level, context, and risk. 19.1.2.2 Evidence may include assessment evidence, work product evidence, portfolio evidence, simulation evidence, Studio evidence, field evidence, peer review evidence, mentor verification, host verification, employer feedback, public-good contribution records, public-safe output records, National Portfolio contribution records, correction evidence, renewal evidence, and archive evidence. 19.1.2.3 Evidence shall be proportionate. Awareness-level learning may require lighter evidence than independent contribution, reviewer capability, maintainer capability, steward capability, mentor capability, systems leadership capability, National Capability Contributor status, or handoff-context contribution. Evidence sufficiency shall be determined by recorded scope, not by reputation, status, institutional prestige, sponsor involvement, provider involvement, employer interest, public authority presence, or Marketplace visibility. 19.1.2.4 Evidence governance shall preserve limitations, uncertainty, context, review level, expiry, renewal requirements, dependency assumptions, conflicts, data-use labels, AI-use labels, public-safe status, and correction pathways. ### **19.1.3 Governance by Review.** 19.1.3.1 **SCF shall be governed by review.** Material SCF objects shall be reviewed according to their risk, scope, public display, credential implication, data sensitivity, AI-use status, labor implication, public authority proximity, procurement proximity, sponsor proximity, provider proximity, and downstream handoff relevance. 19.1.3.2 Review may include competency review, assessment review, credential review, curriculum review, WILP review, employer feedback review, learner feedback review, accessibility review, equity review, data review, privacy review, AI-use review, public-safe review, safeguard review, security review, labor boundary review, conflict review, and correction review. 19.1.3.3 Review shall be conducted by competent reviewers operating within recorded scope, conflict rules, confidentiality obligations, safeguard duties, public-safe obligations, and correction duties. Reviewer participation shall not create certification authority, public authority approval, professional licensing authority, procurement authority, employer validation, provider validation, deployment authority, or execution authority. 19.1.3.4 Review outcomes shall be recorded as draft, accepted within scope, accepted with limitations, returned for revision, suspended, withdrawn, archived, non-continuing, or escalated. Review shall preserve the ability to correct, downgrade, suspend, withdraw, revoke where necessary, archive, or reinstate according to recorded conditions. ### **19.1.4 Governance by Safeguard.** 19.1.4.1 **SCF shall be governed by safeguard.** Learning, credentialing, contribution recognition, WILPs, public-good work, Marketplace display, Registry records, Reports, Nexus Universe showcases, National Portfolio displays, and labor-market intelligence shall be designed and operated to protect learners, youth, workers, communities, Indigenous participants where applicable, persons with disabilities, affected stakeholders, protected knowledge holders, humanitarian actors, and vulnerable or historically excluded groups. 19.1.4.2 Safeguards shall address privacy, data protection, youth protection, worker protection, anti-exploitation, accessibility, inclusion, non-discrimination, anti-harassment, protected knowledge, community-sensitive information, Indigenous protocol-sensitive knowledge where applicable, health-sensitive data, migration-sensitive data, conflict-affected contexts, disaster-affected contexts, and public-safe communication. 19.1.4.3 Safeguard governance shall prevent SCF from becoming an extractive talent pipeline, unpaid labor substitute, social scoring system, surveillance layer, employer screening system by default, public authority screening system by default, credential inflation machine, sponsor-controlled pathway, provider-controlled pathway, or mechanism for converting participation into consent. 19.1.4.4 Safeguard failures shall be treated as governance incidents capable of triggering correction, display restriction, data freeze, claims freeze, WILP suspension, credential suspension, Marketplace delisting, Registry update, public-safe notice, grievance process, archive, or escalation to competent lawful processes. ### **19.1.5 Governance by Public-Safe Display.** 19.1.5.1 **SCF shall be governed by public-safe display.** Public or controlled display of learners, workers, credentials, badges, portfolios, WILPs, mentors, reviewers, Competence Cells, National Capacity records, National Skills Maps, labor-market intelligence, Marketplace listings, Registry records, Reports, and Nexus Universe outputs shall be limited to what is necessary, accurate, reviewed, consented where required, non-misleading, non-ranking by default, non-extractive, and correctable. 19.1.5.2 Public-safe display shall require boundary notices that prevent display from being misread as professional license, degree equivalence, employment guarantee, wage promise, hiring decision, public authority approval, procurement qualification, financeability, insurability, country ranking, institutional ranking, social score, community consent, Indigenous consent, deployment authorization, or execution authority. 19.1.5.3 Public-safe display shall protect learners and workers from unauthorized scraping, profiling, automated ranking, sensitive attribute inference, employer misuse, sponsor misuse, provider misuse, public authority overclaim, and downstream reuse beyond recorded purpose. 19.1.5.4 Public-safe display may be corrected, restricted, suspended, withdrawn, replaced, archived, or marked non-continuing where evidence changes, privacy permissions change, credentials expire, review status changes, misuse occurs, harm risk emerges, or boundary overclaim is detected. ### **19.1.6 Governance by Data and AI Controls.** 19.1.6.1 **SCF shall be governed by data and AI controls.** Learner data, worker data, credential data, WILP data, portfolio data, contribution data, labor-market intelligence data, employer feedback, host feedback, public authority learning records, Marketplace records, Registry records, Reports, and Nexus Universe records shall be classified, minimized, purpose-limited, permissioned, secured, reviewed, and corrected. 19.1.6.2 AI use within SCF shall be labeled, bounded, reviewed, and controlled. AI may support retrieval, summarization, classification, mapping, accessibility, translation, analytics, learning design, labor-market signal review, or assessment support only where permitted by classification, lawful basis, review requirements, and human oversight. AI shall not be used by default to make automated high-stakes credentialing decisions, hiring decisions, worker ranking, learner ranking, public authority decisions, immigration determinations, procurement eligibility determinations, finance decisions, insurance decisions, or deployment decisions. 19.1.6.3 AI-assisted outputs shall remain subject to human review, source checking, bias and discrimination review, public-safe review, privacy review, data-use rules, AI-use rules, incident controls, correction rights, appeal rights where applicable, and archive discipline. 19.1.6.4 Data and AI controls shall prevent unauthorized training use, prompt injection, data leakage, unauthorized profiling, unfair ranking, hidden discrimination, sensitive attribute inference, automated exclusion, social scoring, surveillance creep, and public authority overclaim. ### **19.1.7 Governance by Correction.** 19.1.7.1 **SCF shall be governed by correction.** Every material SCF object shall remain correctable through recorded mechanisms for correction, addendum, revision, limitation notice, suspension, withdrawal, revocation where necessary, public repair, appeal, reinstatement, archive, non-continuation, and correction propagation. 19.1.7.2 Correction shall apply to competency records, learning objects, assessments, micro-credentials, badges, ILA records, WILP records, iCRS records, mentor records, reviewer records, Marketplace listings, Registry statuses, Reports, Nexus Universe displays, National Capacity records, labor-market intelligence, public-safe summaries, and handoff literacy objects. 19.1.7.3 Correction shall not be treated as reputational failure. It shall be treated as trust infrastructure. SCF shall prefer visible, timely, proportionate correction over silent drift, hidden edits, outdated display, uncorrected overclaim, or continued reliance on stale records. 19.1.7.4 Correction records shall preserve what changed, why it changed, who stewarded the change, what prior claim is limited, what downstream objects are affected, what users or recipients must be notified, what public-safe notice is required, and whether reinstatement, archive, or non-continuation applies. ### **19.1.8 Governance Without Credential Overclaim.** 19.1.8.1 **SCF shall be governed without credential overclaim.** SCF may structure competencies, learning pathways, WILPs, micro-credentials, badges, portfolios, ILA records, iCRS records, evidence packs, Registry records, Marketplace listings, Reports, and Nexus Universe displays, but shall not represent such objects as professional licenses, degrees, regulated qualifications, accreditation, public authority credentials, employer-approved credentials, procurement qualifications, immigration credentials, finance credentials, insurance credentials, deployment approvals, or execution authorizations unless separately and lawfully recorded by competent actors. 19.1.8.2 Credential language shall be bounded by scope, evidence basis, review level, expiry, renewal rule, issuer identity, jurisdictional context, recognition limits, display limits, correction pathway, withdrawal pathway, and archive rule. 19.1.8.3 SCF shall prevent credential inflation, misleading equivalence, sponsor-influenced credential claims, provider-influenced credential claims, employer capture, public authority overclaim, social scoring, and rank-based misuse of competency records. 19.1.8.4 The governing rule shall be that SCF recognizes evidence within bounded public-good competency architecture; it does not replace universities, TVET authorities, professional bodies, regulators, employers, unions, ministries, credential authorities, public authorities, or lawful downstream decision-makers. *** ## **19.2 Quality Assurance** ### **19.2.1 Competency Review.** 19.2.1.1 SCF competency review shall determine whether a competency definition is clear, bounded, evidence-capable, level-appropriate, mapped to relevant domain families, aligned with National Portfolio needs where applicable, connected to learning pathways where applicable, and capable of correction. 19.2.1.2 Competency review shall examine terminology, scope, prerequisites, evidence types, assessment methods, applicability across contexts, accessibility implications, equity implications, public authority proximity, labor-market relevance, handoff relevance, and risk of credential overclaim. 19.2.1.3 Competency review shall also prevent semantic drift by distinguishing competencies from skills, knowledge, abilities, practices, judgment, dispositions, role capabilities, contextual competence, evidence of competence, credential status, and professional authority. 19.2.1.4 A reviewed competency shall remain bounded. Competency review shall not create license, certification, employment eligibility, procurement qualification, public authority approval, deployment authorization, or execution authority. ### **19.2.2 Assessment Review.** 19.2.2.1 SCF assessment review shall determine whether an assessment is valid for its stated scope, proportionate to the competency level, accessible, fair, non-discriminatory, evidence-based, reviewable, privacy-protective, AI-controlled where applicable, and correctable. 19.2.2.2 Assessment review shall examine task design, scoring or judgment criteria, assessor competence, conflicts, accessibility, accommodations, learner safeguards, youth protections, language access, data collection, AI assistance, bias risk, appeal rights, and correction pathways. 19.2.2.3 AI-assisted assessment shall require human review, explainability appropriate to context, bias and discrimination review, data-use control, AI-use labeling, learner notice, appeal pathway, and incident recording. 19.2.2.4 Assessment review shall not convert assessment results into employment decisions, professional licenses, public authority credentials, procurement qualifications, automated ranking, social scoring, or deployment authorization. ### **19.2.3 Credential Review.** 19.2.3.1 SCF credential review shall determine whether a micro-credential, badge, or recognition object has a clear scope, evidence basis, issuer identity, assessment method, review level, expiry or renewal rule, display condition, privacy condition, correction pathway, suspension pathway, withdrawal pathway, and archive rule. 19.2.3.2 Credential review shall verify that the credential does not imply degree equivalence, professional license, regulated qualification, accreditation, public authority approval, employment guarantee, procurement qualification, financeability, insurability, deployment authorization, or execution authority unless separately and lawfully recorded by a competent body. 19.2.3.3 Credential review shall include sponsor and provider controls to prevent pay-to-credential influence, curriculum capture, hidden endorsement, provider validation, employer capture, or preferential display. 19.2.3.4 Credential review shall require correctionability. Expired, suspended, withdrawn, revoked where necessary, superseded, archived, or non-continuing credentials shall not be displayed as current or active. ### **19.2.4 Curriculum Review.** 19.2.4.1 SCF curriculum review shall determine whether curriculum objects, learning pathways, Academy modules, Risk Academy modules, WILP learning plans, simulations, Studio exercises, field exercises, public-safe reporting exercises, Quests, Bounties, Builds, and capstones are aligned with competency definitions and public-good purpose. 19.2.4.2 Curriculum review shall evaluate learning outcomes, competency coverage, evidence requirements, instructional quality, accessibility, language access, localization, cultural context, AI-use controls, data-use controls, privacy, safeguards, public-safe language, labor boundary, and correction pathway. 19.2.4.3 Curriculum review shall ensure that learning materials do not overstate certification, employment, public authority, procurement, finance, insurance, deployment, or execution implications. 19.2.4.4 Curriculum review shall support periodic renewal, versioning, retirement, archive, and correction where material becomes outdated, inaccurate, inaccessible, unsafe, misleading, or inconsistent with SCF boundaries. ### **19.2.5 WILP Review.** 19.2.5.1 SCF WILP review shall determine whether a Work-Integrated Learning Path has a valid learning purpose, recorded host role, workplan, supervision model, mentor assignment, evidence plan, safety controls, fair work controls, accessibility provisions, data and confidentiality controls, AI and tool-use controls, grievance pathway, correction pathway, and archive rule. 19.2.5.2 WILP review shall prevent disguised employment, unpaid substitution of regular labor, unsafe work, excessive workload, harassment, abuse, exploitation, youth risk, worker surveillance, unauthorized data use, confidentiality breach, and execution by learner contribution. 19.2.5.3 WILP review shall verify that the WILP is a learning pathway and evidence pathway, not a hiring commitment, wage guarantee, professional license, procurement qualification, public authority approval, deployment authorization, or execution channel. 19.2.5.4 WILP review shall permit suspension, withdrawal, host restriction, mentor replacement, public-safe notice, learner protection action, grievance handling, correction, or archive where safeguards fail. ### **19.2.6 Employer Feedback Review.** 19.2.6.1 SCF employer feedback review shall determine whether employer signals, host signals, sector skill signals, work product feedback, occupation review, task review, WILP host feedback, and handoff recipient feedback are useful, fair, non-capturing, non-discriminatory, and appropriately bounded. 19.2.6.2 Employer feedback shall be treated as one demand-side or quality signal, not as curriculum control, credential control, hiring decision, public authority approval, procurement priority, or validation of a learner, worker, provider, credential, or pathway. 19.2.6.3 Employer feedback review shall prevent hidden bias, credential inflation, exclusionary requirements, discriminatory skill framing, overreliance on job posting language, capture by dominant employers, unpaid labor demands, and conversion of learning records into hiring screens without permission. 19.2.6.4 Employer feedback may inform competency updates, WILP quality, National Skills Maps, sector skill compacts, Academy updates, Foundry Quests, National Portfolio needs, and Reports, subject to public-safe display and privacy controls. ### **19.2.7 Learner Feedback Review.** 19.2.7.1 SCF learner feedback review shall determine whether learners, workers, WILP participants, public-good contributors, career changers, youth participants, and underrepresented participants experience learning pathways as accessible, fair, safe, useful, non-extractive, and aligned with recorded expectations. 19.2.7.2 Learner feedback shall inform curriculum correction, accessibility improvements, workload adjustment, WILP safeguards, mentor review, assessment review, credential renewal, Marketplace display, Registry status, and Reports. 19.2.7.3 Learner feedback shall be protected from retaliation, employer misuse, sponsor misuse, provider misuse, public authority misuse, public exposure, unauthorized AI use, and sensitive profile inference. 19.2.7.4 Learner feedback review may trigger correction, grievance response, curriculum revision, assessment revision, WILP suspension, mentor review, host review, credential correction, public-safe notice, or archive. ### **19.2.8 Accessibility Review.** 19.2.8.1 SCF accessibility review shall ensure that learning objects, assessments, WILPs, credentials, ILA records, portfolio displays, Marketplace listings, Registry records, Reports, Nexus Universe displays, and National Portfolio displays are designed to be accessible to persons with disabilities and usable across varied language, technology, bandwidth, device, and context constraints. 19.2.8.2 Accessibility review shall include readable formatting, assistive technology compatibility, captions, transcripts, alt text, plain-language summaries where appropriate, mobile access, low-bandwidth access, offline options where feasible, language access, cognitive accessibility, flexible assessment formats, and accommodation pathways. 19.2.8.3 Accessibility review shall treat accessibility as a quality requirement, not an optional enhancement. Inaccessible SCF objects may be returned for correction, restricted, marked with limitations, or withheld from public display until corrected. 19.2.8.4 Accessibility status shall not be used to rank learners, workers, disability status, countries, or institutions. ### **19.2.9 Equity Review.** 19.2.9.1 SCF equity review shall examine whether competency definitions, learning pathways, assessments, credentials, WILPs, Marketplace listings, Registry displays, Reports, labor-market intelligence, AI-assisted tools, and National Skills Maps create or reinforce unfair exclusion, discrimination, credential inflation, digital divide effects, geographic exclusion, language exclusion, gender exclusion, disability exclusion, youth exclusion, rural exclusion, migration-status exclusion, or socioeconomic exclusion. 19.2.9.2 Equity review shall include examination of access cost, device requirements, connectivity requirements, language requirements, prior credential assumptions, time burden, unpaid labor burden, hidden prerequisites, assessment bias, AI bias, employer bias, public display risks, and worker protection implications. 19.2.9.3 Equity review shall support bridge pathways, accommodations, alternative evidence pathways, Recognition of Prior Learning, portfolio-based assessment, low-bandwidth delivery, community-safe learning, and correction of exclusionary designs. 19.2.9.4 Equity review shall not become social scoring, group ranking, public shaming, country ranking, employer ranking, or individual ranking. ### **19.2.10 Correction Review.** 19.2.10.1 SCF correction review shall determine whether a correction is required, what object is affected, what claim is limited, what record must change, what display must be changed, what downstream objects are affected, what users or recipients must be notified, and whether suspension, withdrawal, revocation where necessary, public repair, archive, or non-continuation is required. 19.2.10.2 Correction review shall apply to errors, outdated content, misleading credential claims, assessment defects, WILP misclassification, privacy violations, AI incidents, bias incidents, labor exploitation, safeguard failures, provider validation incidents, sponsor control incidents, public authority overclaims, procurement or employment overclaims, and consent overclaims. 19.2.10.3 Correction review shall be documented in correction registers and propagated to Marketplace listings, Registry records, Reports, ILA records, iCRS records, WILP records, credential records, public displays, Nexus Universe outputs, National Portfolio displays, and archive records as applicable. 19.2.10.4 Correction review shall preserve trust by making correction visible enough to prevent ongoing misuse while protecting privacy, confidentiality, youth data, protected knowledge, and sensitive information. *** ## **19.3 Safeguards** ### **19.3.1 Learner Safeguards.** 19.3.1.1 SCF shall protect learners from misleading credential claims, exploitative learning pathways, unsafe WILPs, inaccessible assessments, unfair AI-assisted assessment, unauthorized profiling, excessive data collection, hidden costs, retaliatory feedback handling, harassment, discrimination, and unauthorized public display. 19.3.1.2 Learner safeguards shall include clear pathway notices, scope notices, evidence requirements, credential boundary notices, privacy permissions, data-use labels, AI-use labels, support contacts, grievance channels, correction rights, withdrawal rights, accessibility accommodations, and public-safe display controls. 19.3.1.3 Learners shall not be treated as data sources, labor sources, marketing assets, public endorsement objects, or automatic contributor pools. Learner participation shall remain bounded by recorded purpose and consent where required. 19.3.1.4 Learner safeguards shall apply across Nexus Academy, Risk Academy, WILPs, ILA, iCRS, Marketplace, Registry, Reports, Foundry, Campaigns, Competence Cells, National Working Groups, Nexus Universe, and National Portfolio displays. ### **19.3.2 Youth Safeguards.** 19.3.2.1 SCF shall apply heightened safeguards for minors and youth participants. Youth participation in learning, credentials, WILPs, portfolios, contribution records, Marketplace displays, Registry records, Reports, Campaigns, Foundry, Competence Cells, Nexus Universe, and National Portfolios shall be governed by age-appropriate design, lawful consent, privacy protection, limited display, safe communication, mentorship controls, and anti-exploitation rules. 19.3.2.2 Youth data shall not be used for unauthorized profiling, employer screening, AI training, public ranking, social scoring, sponsor targeting, provider marketing, public authority screening, or disclosure beyond recorded purpose. 19.3.2.3 Youth WILPs shall require additional review of supervision, health and safety, workload, hours, grievance channels, harassment prevention, fieldwork risks, data access, AI use, and public display. 19.3.2.4 Any youth safeguard incident may trigger immediate restriction, claims freeze, data freeze, WILP suspension, Marketplace delisting, Registry update, guardian or lawful representative notification where appropriate, public-safe notice where necessary, correction, archive, or escalation. ### **19.3.3 Worker Safeguards.** 19.3.3.1 SCF shall protect workers, career changers, displaced workers, informal workers, gig workers, platform workers, public sector workers, climate-affected workers, disaster-affected workers, migrants, refugees, diaspora talent, and public-good contributors from exploitation, disguised labor, unsafe work, discriminatory profiling, credential inflation, false employment promises, wage misrepresentation, surveillance, and misuse of skills records. 19.3.3.2 Worker safeguards shall include fair work controls, labor boundary notices, no-employment-by-implication notices, no-wage-guarantee notices, grievance channels, workload controls, occupational health and safety controls, data protection, no unauthorized employer scraping, no automated ranking by default, and correction pathways. 19.3.3.3 SCF shall not replace worker rights, labor law, collective bargaining, unions, worker organizations, professional associations, employer obligations, public employment services, or public authority protections. 19.3.3.4 Worker safeguard review shall apply especially to WILPs, Bounties, Quests, Builds, public-good contribution, iCRS, portfolios, employer-readable summaries, Marketplace display, and Nexus Universe talent displays. ### **19.3.4 Community Safeguards.** 19.3.4.1 SCF shall protect communities from extractive learning, extractive research, unauthorized data use, symbolic participation, consent overclaim, public display misuse, protected knowledge exposure, disaster-context exploitation, and conversion of community participation into approval. 19.3.4.2 Community safeguards shall require public-safe engagement, clear purpose, role clarity, non-extractive methods, local context respect, appropriate language, accessibility, community-facing correction, sensitive data controls, and consent boundary records. 19.3.4.3 Community participation in learning, WILPs, Competence Cells, National Portfolios, Campaigns, Reports, Nexus Universe, or public-safe displays shall not imply consent, endorsement, project approval, public authority approval, procurement status, deployment authorization, or execution. 19.3.4.4 Community-facing outputs shall avoid harm, stigmatization, ranking, sensitive location exposure, protected knowledge disclosure, and misleading claims about community support. ### **19.3.5 Indigenous Protocols Where Applicable.** 19.3.5.1 Where Indigenous peoples, Indigenous institutions, Indigenous knowledge, Indigenous lands, Indigenous data, Indigenous youth, Indigenous protocols, or Indigenous-governed contexts are involved, SCF shall apply Indigenous protocol-sensitive safeguards and shall not treat generic participation, learning, contribution, or display as consent. 19.3.5.2 Indigenous protocol-sensitive safeguards shall include respect for applicable Indigenous governance, knowledge protocols, data sovereignty principles, cultural restrictions, attribution conditions, protected knowledge controls, community-facing correction, and restrictions on public display where necessary. 19.3.5.3 Indigenous knowledge, cultural information, sacred site information, ecological knowledge, community-sensitive data, or protected knowledge shall not be converted into open learning objects, credentials, data objects, AI training material, public reports, Marketplace listings, Registry records, or Nexus Universe displays without appropriate authority, protocol review, consent where required, and public-safe restrictions. 19.3.5.4 Indigenous participation shall not create consent, endorsement, approval, data permission, knowledge permission, project authorization, public authority approval, procurement status, deployment authorization, or execution authority by implication. ### **19.3.6 Protected Knowledge Controls.** 19.3.6.1 SCF shall classify and protect knowledge that is culturally sensitive, community-sensitive, security-sensitive, cyber-sensitive, health-sensitive, youth-sensitive, infrastructure-sensitive, geospatial-sensitive, biosecurity-sensitive, commercially confidential, legally privileged, restricted, or otherwise unsuitable for open display. 19.3.6.2 Protected knowledge controls shall include restricted access, secure rooms, protected knowledge rooms, no-download rules, output review, metadata-only display where appropriate, sensitive location masking, aggregation, delay, redaction, sealing, archive, and correction. 19.3.6.3 Protected knowledge shall not be used for AI training, public learning objects, public credentials, public reports, Marketplace display, Registry display, portfolio display, or Nexus Universe display except where permitted by classification, consent or authority where required, public-safe transformation, and recorded review. 19.3.6.4 A protected knowledge incident shall trigger immediate containment, access review, data freeze, display restriction, correction, notification where appropriate, and archive or withdrawal where necessary. ### **19.3.7 Disability Inclusion.** 19.3.7.1 SCF shall embed disability inclusion as a governance requirement across competency design, learning design, assessment, WILPs, credentialing, portfolios, Marketplace, Registry, Reports, Nexus Universe, National Portfolios, and public-safe display. 19.3.7.2 Disability inclusion shall include accessibility-by-design, reasonable accommodations where applicable, multiple evidence pathways, accessible communication, assistive technology compatibility, flexible assessment formats, avoidance of ableist assumptions, disability-sensitive privacy, and protection from unwanted disclosure. 19.3.7.3 Disability-related information shall be treated as sensitive profile information and shall not be displayed, inferred, ranked, filtered, or shared without recorded permission and lawful basis. 19.3.7.4 Disability inclusion review shall support correction of inaccessible or discriminatory SCF objects and shall not create ranking, labeling, exclusion, or social scoring. ### **19.3.8 Humanitarian Sensitivity.** 19.3.8.1 SCF shall apply humanitarian sensitivity where learning, labor-market transition, WILPs, credentials, data, Reports, Campaigns, Competence Cells, National Portfolios, or Nexus Universe outputs involve conflict-affected, disaster-affected, displaced, refugee, migrant, crisis-affected, or vulnerable populations. 19.3.8.2 Humanitarian sensitivity shall require harm minimization, do-no-harm review, privacy protection, location sensitivity, trauma-informed engagement, consent boundary discipline, public-safe reporting, language access, accessibility, and protection against exploitation. 19.3.8.3 Humanitarian participation or data shall not be used to create public authority decisions, immigration determinations, aid allocation decisions, public finance decisions, employer screening, social scoring, country ranking, or public visibility that increases risk. 19.3.8.4 Humanitarian-sensitive outputs shall be controlled, aggregated, anonymized, redacted, delayed, restricted, or withheld where public display may cause harm. ### **19.3.9 Non-Extractive Learning.** 19.3.9.1 SCF shall require non-extractive learning practices. Learners, workers, communities, Indigenous participants where applicable, public-good contributors, WILP participants, and affected stakeholders shall not be used merely as sources of data, unpaid labor, testimonials, marketing, symbolic legitimacy, or public endorsement. 19.3.9.2 Non-extractive learning shall require reciprocal value, role clarity, fair workload, learning value, public-good purpose, consent or permission where required, contribution recognition where appropriate, grievance channels, correction pathways, and public-safe display controls. 19.3.9.3 Learning designs shall avoid uncompensated substitution for regular labor, unpaid production pressure, hidden commercial extraction, sponsor capture, provider capture, public authority overclaim, and conversion of participation into consent. 19.3.9.4 Non-extractive learning failures shall be treated as governance incidents subject to correction, suspension, withdrawal, public repair, archive, or escalation. ### **19.3.10 Community-Facing Correction.** 19.3.10.1 SCF shall provide community-facing correction where learning objects, Reports, Marketplace listings, Registry records, National Portfolio displays, Nexus Universe displays, WILPs, Competence Cells, Campaigns, public-safe summaries, or labor-market intelligence affect communities. 19.3.10.2 Community-facing correction shall be accessible, understandable, language-appropriate, public-safe, non-defensive, and clear about what changed, why it changed, what prior claim is limited, what remains uncertain, and what future use is restricted. 19.3.10.3 Community-facing correction shall preserve privacy, protected knowledge, Indigenous protocols where applicable, youth safeguards, humanitarian sensitivity, and legal obligations. 19.3.10.4 Community-facing correction shall not require communities to prove harm before obvious overclaims, misuse, misrepresentation, or boundary violations are corrected. *** ## **19.4 Data, Privacy, and Security Controls** ### **19.4.1 Learner Data Protection.** 19.4.1.1 SCF shall protect learner data through data minimization, purpose limitation, access controls, consent and permissions, AI-use restrictions, visibility settings, correction rights, withdrawal rights, retention rules, sealing, archive, and deletion where appropriate. 19.4.1.2 Learner data includes identity data, contact data, profile data, learning records, assessment records, credential records, portfolio records, WILP records, contribution records, mentor records, feedback records, accessibility needs, language needs, safeguard records, youth data, and sensitive profile data. 19.4.1.3 Learner data shall not be scraped, sold, used for unauthorized AI training, used for automated ranking, used for social scoring, disclosed to employers without permission, disclosed to public authorities beyond lawful basis, or used beyond recorded purpose. 19.4.1.4 Learner data incidents shall be recorded, contained, corrected, and escalated according to classification and applicable legal requirements. ### **19.4.2 Worker Data Protection.** 19.4.2.1 SCF shall protect worker data, including data relating to employment history, skills, portfolios, transition pathways, WILPs, public-good contributions, employer feedback, host feedback, wage context, job-quality concerns, grievance records, union or worker organization participation where applicable, and sensitive profile data. 19.4.2.2 Worker data shall not be used for unauthorized screening, ranking, surveillance, algorithmic management, social scoring, employer scraping, public authority screening, immigration inference, procurement eligibility, or finance or insurance decisions by default. 19.4.2.3 Worker data displayed through portfolios, Marketplace, Registry, Reports, National Skills Maps, or Nexus Universe shall be permissioned, minimized, purpose-limited, correctable, and protected from misuse. 19.4.2.4 Worker data protection shall include grievance pathways, correction rights, withdrawal rights, visibility controls, access logs where appropriate, and anti-retaliation principles. ### **19.4.3 Credential Data Protection.** 19.4.3.1 SCF shall protect credential data, including micro-credential records, badge metadata, evidence links, issuer identity, assessment results, renewal status, expiry status, suspension status, withdrawal status, revocation status where applicable, correction history, and portfolio display. 19.4.3.2 Credential data shall be displayed only according to recorded status, display permissions, public-safe language, privacy controls, and boundary notices. Sensitive evidence links shall not be exposed unless permitted by access class and lawful basis. 19.4.3.3 Credential verification shall be privacy-preserving where feasible and shall avoid unnecessary disclosure of personal data, sensitive profile data, assessment details, or unrelated learning history. 19.4.3.4 Credential data protection shall prevent misleading display of expired, suspended, withdrawn, revoked, superseded, archived, or non-continuing credentials. ### **19.4.4 Portfolio Visibility Controls.** 19.4.4.1 SCF shall provide portfolio visibility controls allowing private, controlled, employer-readable, public-good contributor, Marketplace-profile, Registry-profile, National Portfolio contributor, and Nexus Universe display configurations. 19.4.4.2 Portfolio visibility shall be learner-controlled or participant-controlled to the extent appropriate and lawful, subject to youth safeguards, data classification, protected knowledge controls, employer access permissions, public-safe display, and correction rules. 19.4.4.3 Portfolio visibility controls shall prevent unauthorized scraping, indexing, profiling, automated ranking, social scoring, employer misuse, sponsor misuse, provider misuse, and disclosure beyond recorded purpose. 19.4.4.4 Portfolio display shall include no-employment, no-certification, no-procurement, no-public-authority, no-endorsement, no-deployment, and no-execution notices where necessary. ### **19.4.5 Access Controls.** 19.4.5.1 SCF shall apply access controls appropriate to data classification, object class, user role, purpose, jurisdictional context, youth status, protected knowledge status, public authority sensitivity, employer sensitivity, and public display status. 19.4.5.2 Access controls may include identity verification, role-based access, least privilege, multi-factor authentication where appropriate, secure-room access, data-room access, no-download rules, output review, time-limited access, logging, access recertification, and revocation. 19.4.5.3 Access to learner, worker, credential, WILP, portfolio, protected knowledge, employer feedback, host feedback, and public authority learning records shall be restricted to authorized persons and recorded purposes. 19.4.5.4 Access violation may trigger incident response, access revocation, Marketplace delisting, Registry update, public-safe notice, correction, archive, or escalation. ### **19.4.6 Encryption Where Appropriate.** 19.4.6.1 SCF shall use encryption where appropriate to protect data in transit, data at rest, credentials, identifiers, sensitive profile data, youth data, worker data, protected knowledge, WILP records, credential evidence, access tokens, and restricted records. 19.4.6.2 Encryption requirements shall be proportionate to classification, sensitivity, legal requirements, jurisdictional context, platform architecture, threat model, and operational feasibility. 19.4.6.3 Encryption shall be supported by key management, access governance, recovery procedures, incident response, retention rules, and archive controls. 19.4.6.4 Encryption status shall not be represented as full compliance, security certification, privacy certification, service warranty, or public authority approval. ### **19.4.7 Secure Repositories.** 19.4.7.1 SCF shall use secure repositories for learning objects, credential objects, WILP records, assessments, evidence packs, Reports, public-safe materials, protected knowledge, data objects, AI-use records, correction records, and archive records according to classification. 19.4.7.2 Secure repository governance shall include steward assignment, access control, versioning, branch or change control where applicable, review status, dependency controls where applicable, metadata, audit logs where appropriate, public-safe release rules, correction pathways, and archive rules. 19.4.7.3 Repository access shall not create data rights, credential rights, reuse rights, publication rights, employment rights, public authority rights, procurement rights, or handoff permission. 19.4.7.4 Repository compromise, unauthorized access, unauthorized publication, or repository misuse shall be treated as a security or data incident. ### **19.4.8 Identity and Verification Controls.** 19.4.8.1 SCF shall apply identity and verification controls for learners, workers, mentors, reviewers, issuers, assessors, hosts, employers, public authority learning participants, sponsors, providers, stewards, Registry administrators, Marketplace administrators, and lawful downstream recipients according to role and risk. 19.4.8.2 Identity controls may include verified identity, pseudonymous identity where appropriate, institutional affiliation, role verification, issuer verification, host verification, mentor standing, reviewer standing, conflict disclosure, and access authorization. 19.4.8.3 Verification controls shall be proportionate and shall avoid unnecessary exclusion, privacy invasion, sensitive profile exposure, surveillance, or discrimination. 19.4.8.4 Identity verification shall not create professional license, employment status, public authority approval, credential recognition, procurement qualification, financeability, insurability, or execution authority. ### **19.4.9 Incident Response.** 19.4.9.1 SCF shall maintain incident response procedures for credential misuse, assessment integrity failures, learner data incidents, worker data incidents, AI assessment incidents, bias or discrimination incidents, worker exploitation incidents, WILP misclassification incidents, provider validation incidents, sponsor control incidents, public authority overclaim incidents, procurement or employment overclaim incidents, consent overclaim incidents, protected knowledge incidents, security incidents, privacy incidents, and public-safe display incidents. 19.4.9.2 Incident response shall include intake, classification, containment, evidence preservation, impact assessment, affected record identification, access restriction where needed, claims freeze where needed, data freeze where needed, display restriction where needed, notification where appropriate, correction plan, public-safe notice where necessary, appeal pathway where applicable, archive, and post-incident review. 19.4.9.3 Incident response shall protect privacy, confidentiality, youth data, worker data, protected knowledge, Indigenous protocols where applicable, community safety, and legal obligations. 19.4.9.4 Incident records shall be maintained in appropriate incident, correction, Registry, and archive records. ### **19.4.10 Deletion, Sealing, and Archive.** 19.4.10.1 SCF shall provide deletion, sealing, and archive controls consistent with data classification, legal obligations, retention rules, learner rights, worker rights, credential accountability, correction needs, audit needs, public-safe publication, and institutional memory. 19.4.10.2 Deletion may apply where data is no longer needed, consent is withdrawn where applicable, retention is not required, or continued processing is unlawful or unnecessary. 19.4.10.3 Sealing may apply where records must be preserved for accountability but removed from ordinary display or access due to sensitivity, dispute, youth protection, protected knowledge, legal hold, or correction status. 19.4.10.4 Archive may apply where an object is outdated, superseded, withdrawn, revoked where necessary, non-continuing, historically relevant, or required for institutional memory. Archived records shall include archive-not-current notices and shall not be displayed as active. *** ## **19.5 AI Governance** ### **19.5.1 AI-Use Labels.** 19.5.1.1 SCF shall require AI-use labels for learning objects, assessments, credential review, portfolio summaries, labor-market intelligence, skills mapping, competency mapping, Reports, Marketplace listings, Registry records, WILP tools, public-safe summaries, and Nexus Universe displays where AI is used or AI use is restricted. 19.5.1.2 AI-use labels may include no-AI use, retrieval-only, summarization with review, classification with review, evaluation-only, fine-tuning permitted, training permitted, agentic use prohibited, secure-room AI only, public-safe AI output only, or other approved labels. 19.5.1.3 AI-use labels shall identify permitted uses, prohibited uses, review requirements, data limits, human oversight requirements, output limits, correction pathway, incident pathway, and public-safe display restrictions. 19.5.1.4 Absence of an AI-use label shall not authorize AI use. ### **19.5.2 Human Review.** 19.5.2.1 SCF shall require human review for AI-assisted outputs that affect competency mapping, assessment support, credential review, learner profiles, worker profiles, portfolio summaries, labor-market intelligence, Marketplace listings, Registry status, Reports, WILP records, or public-safe display. 19.5.2.2 Human review shall assess source fidelity, accuracy, bias, discrimination risk, hallucination risk, data leakage, sensitive inference, public-safe language, credential overclaim, employment overclaim, procurement overclaim, public authority overclaim, and correction needs. 19.5.2.3 Human review shall be performed by persons with appropriate competence, role authority, conflict controls, and safeguard obligations. 19.5.2.4 Human review shall not convert AI output into certification, credential authority, hiring decision, public authority decision, procurement decision, finance decision, insurance decision, or execution authority. ### **19.5.3 AI-Assisted Assessment Controls.** 19.5.3.1 AI-assisted assessment shall be used only where permitted, labeled, reviewed, evidence-based, explainable to a degree appropriate to context, bias-reviewed, privacy-protective, appealable where applicable, and non-discriminatory. 19.5.3.2 AI-assisted assessment shall not by default make automated pass/fail determinations, credential issuance decisions, high-stakes learning decisions, employment decisions, WILP eligibility decisions, public authority learning eligibility decisions, procurement qualification decisions, or professional license determinations. 19.5.3.3 AI-assisted assessment shall preserve human review, assessor accountability, data minimization, learner notice, correction rights, appeal rights where applicable, and incident recording. 19.5.3.4 AI-assisted assessment outputs shall be recorded with AI-use label, model or system context where appropriate, prompt or workflow context where appropriate, review status, limitations, correction pathway, and archive rule. ### **19.5.4 Bias and Discrimination Review.** 19.5.4.1 SCF shall require bias and discrimination review for AI-assisted tools, assessments, credential workflows, labor-market intelligence, skills mapping, learner profiling, portfolio summaries, Marketplace recommendations, Registry displays, Reports, and Nexus Universe displays where such tools may affect access, visibility, recognition, or opportunity. 19.5.4.2 Bias and discrimination review shall examine protected characteristics, proxy variables, sensitive profile inference, disability effects, language effects, gender effects, youth effects, rural and remote access, migration status risks, socioeconomic barriers, digital divide effects, and historical exclusion. 19.5.4.3 Bias and discrimination review may result in redesign, restriction, human review requirements, display limitation, withdrawal, correction, appeal rights, or prohibition of AI use. 19.5.4.4 SCF shall not use AI to rank people, automate exclusion, create social scores, or make high-stakes decisions by default. ### **19.5.5 No Automated High-Stakes Credentialing by Default.** 19.5.5.1 SCF shall not permit automated high-stakes credentialing by default. Micro-credential issuance, suspension, withdrawal, revocation where necessary, renewal denial, reviewer standing, maintainer standing, or public display of credential status shall require human-governed processes where the decision has material consequence. 19.5.5.2 AI may assist with evidence organization, completeness checks, rubric support, anomaly identification, summarization, translation, accessibility support, or reviewer workflow, but shall not by default be the credentialing authority. 19.5.5.3 Where AI materially supports credentialing, the record shall include AI-use label, human review, evidence basis, limitations, appeal or correction pathway, and incident pathway. 19.5.5.4 Automated credentialing misuse shall be treated as an AI assessment incident or credential misuse incident. ### **19.5.6 No Automated Hiring Decision by SCF.** 19.5.6.1 SCF shall not make automated hiring decisions. SCF records, portfolios, credentials, skills wallets, Marketplace profiles, Registry records, WILP records, Foundry talent records, National Skills Maps, and Nexus Universe displays shall not be used by SCF as automated hiring determinations. 19.5.6.2 Employer-readable summaries may be generated only according to recorded permission, purpose limitation, human review where appropriate, public-safe language, no-ranking defaults, and no-employment-guarantee notices. 19.5.6.3 Employers and hosts remain responsible for their own lawful hiring, selection, anti-discrimination, labor, data protection, and worker rights obligations outside SCF default posture. 19.5.6.4 Any attempt to convert SCF into an automated hiring system shall be treated as a boundary incident. ### **19.5.7 Learner Profiling Controls.** 19.5.7.1 SCF shall control learner profiling to prevent unauthorized inference, ranking, targeted exclusion, manipulation, sponsor targeting, provider marketing, employer scraping, public authority screening, social scoring, or sensitive attribute exposure. 19.5.7.2 Learner profiles shall be limited to recorded purpose, learner permission, data minimization, access controls, visibility settings, correction rights, withdrawal rights, and youth safeguards where applicable. 19.5.7.3 AI-generated learner summaries, skill maps, pathway recommendations, or portfolio summaries shall be labeled, reviewable, correctable, and non-determinative. 19.5.7.4 Learner profiling controls shall apply equally to worker profiles, contributor profiles, mentor profiles, reviewer profiles, and Foundry talent profiles where similar risks exist. ### **19.5.8 Algorithmic Transparency.** 19.5.8.1 SCF shall maintain algorithmic transparency appropriate to the risk and context of AI-assisted tools used for competency mapping, labor-market intelligence, learning recommendations, assessment support, credential support, Marketplace discovery, Registry display, Reports, and portfolio summaries. 19.5.8.2 Algorithmic transparency may include description of purpose, data inputs, model or system type, limitations, human review role, known bias risks, output interpretation rules, appeal or correction pathway, and prohibited uses. 19.5.8.3 Proprietary or sensitive technical details need not be disclosed where disclosure would create security, privacy, contractual, or protected knowledge risks, provided meaningful transparency is maintained for affected users. 19.5.8.4 Algorithmic transparency shall not imply algorithmic certification, AI safety approval, legal compliance determination, or public authority approval. ### **19.5.9 AI Incident Records.** 19.5.9.1 SCF shall maintain AI Incident Records for AI failures, AI misuse, hallucination leading to harmful display, biased assessment support, discriminatory recommendation, data leakage, prompt injection, unauthorized training use, unauthorized profiling, automated high-stakes decision attempt, agentic workflow misuse, public authority overclaim, or credential overclaim caused or amplified by AI. 19.5.9.2 AI Incident Records shall identify the AI-use context, affected data, affected users, affected records, affected displays, containment actions, correction actions, notification decisions, appeal pathways, withdrawal or suspension decisions, and archive status. 19.5.9.3 AI incidents may trigger claims freeze, data freeze, assessment freeze, credential suspension, Marketplace delisting, Registry update, public-safe notice, model or workflow withdrawal, access restriction, archive, or non-continuation. 19.5.9.4 AI Incident Records shall be protected from unnecessary disclosure while preserving accountability and correction. ### **19.5.10 AI Correction and Appeal.** 19.5.10.1 SCF shall provide correction and appeal pathways for AI-assisted errors affecting learners, workers, credentials, assessments, portfolios, Marketplace display, Registry records, Reports, WILPs, labor-market intelligence, National Skills Maps, or Nexus Universe displays. 19.5.10.2 AI correction may include human re-review, evidence re-check, output correction, model or workflow restriction, display revision, credential correction, assessment correction, portfolio correction, public-safe notice, suspension, withdrawal, archive, or non-continuation. 19.5.10.3 Appeal pathways shall be available where AI-assisted outputs materially affect recognition, display, access, credential status, WILP status, or reputation. 19.5.10.4 AI correction and appeal shall preserve human accountability and shall not require affected persons to prove technical model failure before obvious inaccuracies or harmful outputs are corrected. *** ## **19.6 Incidents** ### **19.6.1 Credential Misuse Incident.** 19.6.1.1 A Credential Misuse Incident occurs when a micro-credential, badge, credential record, ILA record, portfolio display, Registry record, Marketplace listing, Report, or Nexus Universe display is used or represented beyond its recorded scope. 19.6.1.2 Credential misuse includes false license claims, false degree equivalence, false professional recognition, expired credential display as current, suspended credential display as active, withdrawn credential display as valid, misleading issuer claims, forged badge metadata, evidence misrepresentation, employment overclaim, procurement overclaim, public authority overclaim, deployment overclaim, and execution overclaim. 19.6.1.3 Credential misuse may trigger credential suspension, withdrawal, revocation where necessary, Registry update, Marketplace delisting, public-safe notice, user notification, correction, archive, or escalation to competent processes. ### **19.6.2 Assessment Integrity Incident.** 19.6.2.1 An Assessment Integrity Incident occurs when an assessment process, evidence review, scoring process, reviewer process, AI-assisted assessment, proctoring process, portfolio review, WILP evaluation, or credential decision is compromised, unfair, invalid, biased, manipulated, undocumented, or outside recorded scope. 19.6.2.2 Assessment integrity incidents include cheating, assessor conflict, undisclosed AI use, invalid evidence, inaccessible assessment, discriminatory assessment, unauthorized data use, flawed rubric, unreviewed automated decision, corrupted records, or improper credential issuance. 19.6.2.3 Assessment integrity incidents may trigger assessment freeze, credential freeze, re-review, learner notice, appeal, correction, suspension, withdrawal, public-safe notice where necessary, and archive. ### **19.6.3 Learner Data Incident.** 19.6.3.1 A Learner Data Incident occurs when learner data is accessed, used, displayed, shared, scraped, exported, trained on, profiled, inferred, altered, lost, or disclosed outside recorded permission, purpose, classification, or lawful basis. 19.6.3.2 Learner data incidents include unauthorized portfolio exposure, youth data exposure, sensitive profile exposure, employer scraping, public display error, AI training misuse, profile inference, access control failure, data breach, unauthorized deletion, and incorrect record linkage. 19.6.3.3 Learner data incidents may trigger access restriction, data freeze, display restriction, affected user notification where appropriate, correction, deletion, sealing, archive, and incident review. ### **19.6.4 AI Assessment Incident.** 19.6.4.1 An AI Assessment Incident occurs when AI materially affects assessment, credentialing, scoring, evidence review, portfolio summary, pathway recommendation, or display in a manner that is inaccurate, biased, discriminatory, unreviewed, unauthorized, misleading, or harmful. 19.6.4.2 AI assessment incidents include unapproved automated scoring, hallucinated evidence, biased recommendation, unfair learner profiling, sensitive attribute inference, prompt injection, data leakage, model drift, undisclosed AI use, and failure of human review. 19.6.4.3 AI assessment incidents may trigger AI workflow suspension, human re-review, credential hold, assessment hold, correction, appeal, public-safe notice where necessary, model or workflow withdrawal, and archive. ### **19.6.5 Bias or Discrimination Incident.** 19.6.5.1 A Bias or Discrimination Incident occurs when SCF design, assessment, credentialing, WILP placement, Marketplace display, Registry display, labor-market intelligence, AI-assisted tool, portfolio display, Reports publication, or Nexus Universe display creates or reinforces unfair exclusion, discrimination, harassment, unequal access, or harmful profiling. 19.6.5.2 Bias or discrimination incidents may involve disability, gender, race, ethnicity, age, youth status, migration status, refugee status, socioeconomic status, language, rural location, Indigenous identity where applicable, community affiliation, health status, religion, or other protected or sensitive characteristics. 19.6.5.3 Bias or discrimination incidents may trigger equity review, access redesign, assessment correction, AI restriction, display restriction, credential review, WILP suspension, public-safe notice where necessary, grievance response, and correction propagation. ### **19.6.6 Worker Exploitation Incident.** 19.6.6.1 A Worker Exploitation Incident occurs when a WILP, Quest, Bounty, Build, contribution opportunity, internship, apprenticeship, volunteer role, stipend-supported role, public-good contribution, or Foundry activity is used to obtain labor unfairly, unsafely, deceptively, or outside recorded learning and contribution boundaries. 19.6.6.2 Worker exploitation incidents include disguised employment, unpaid substitution of regular labor, excessive workload, unsafe work, harassment, abuse, coercive conditions, wage misrepresentation, bounty misuse, misclassified work, unauthorized data collection, and retaliation. 19.6.6.3 Worker exploitation incidents may trigger work pause, WILP suspension, host review, mentor review, sponsor review, provider review, grievance process, correction, delisting, public-safe notice where necessary, archive, and escalation. ### **19.6.7 WILP Misclassification Incident.** 19.6.7.1 A WILP Misclassification Incident occurs when a Work-Integrated Learning Path is structured, represented, or operated as learning but functions as employment, contractor work, unpaid labor substitution, execution work, public authority work, or provider delivery outside recorded scope. 19.6.7.2 WILP misclassification may arise from excessive production demands, lack of supervision, absence of learning objectives, replacement of paid labor, operational deployment, public authority task substitution, unclear host obligations, or misleading employment claims. 19.6.7.3 WILP misclassification may trigger WILP suspension, reclassification, host restriction, learner protection, compensation review where appropriate outside SCF default posture, correction, public-safe notice where necessary, and archive. ### **19.6.8 Provider Validation Incident.** 19.6.8.1 A Provider Validation Incident occurs when provider participation, provider contribution, provider tools, provider platforms, provider-hosted learning, provider-supported WILPs, provider-supported Quests, Marketplace listing, Registry record, Report mention, or Nexus Universe display is represented as validation, endorsement, certification, preferred status, procurement readiness, security approval, deployment approval, or public authority approval. 19.6.8.2 Provider validation incidents may arise through promotional language, logo misuse, featured placement, case studies, credential claims, public statements, sales materials, Marketplace listings, Reports, or event displays. 19.6.8.3 Provider validation incidents may trigger claims freeze, listing correction, public-safe notice, provider boundary notice, Marketplace delisting, Registry update, sponsor/provider review, correction, and archive. ### **19.6.9 Sponsor Control Incident.** 19.6.9.1 A Sponsor Control Incident occurs when sponsor support is used or represented as control over curriculum, credentials, competency definitions, WILP selection, learner access, worker access, Marketplace ranking, Registry status, Reports content, Nexus Universe display, National Skills Maps, public authority learning, or lawful handoff routing. 19.6.9.2 Sponsor control incidents include pay-to-prioritize, pay-to-credential, pay-to-rank, pay-to-route, hidden influence, preferential display, sponsor veto, sponsor-controlled narrative, sponsor extraction of learner data, or sponsor use of support to imply authority. 19.6.9.3 Sponsor control incidents may trigger sponsor restriction, claims freeze, data freeze, listing correction, public-safe notice, Registry update, Reports correction, display restriction, correction, archive, or termination of sponsor interface according to applicable arrangements. ### **19.6.10 Public Authority Overclaim Incident.** 19.6.10.1 A Public Authority Overclaim Incident occurs when public authority participation, attendance, learning, review, data contribution, dialogue, room participation, Report mention, Marketplace listing, Registry record, Nexus Universe display, or National Portfolio interaction is represented as approval, adoption, official policy, official statistics, public finance allocation, procurement decision, credential recognition, public warning, emergency command, or execution authority. 19.6.10.2 Public authority overclaim incidents may arise through public communications, Reports, Marketplace listings, Registry records, credential language, public-safe summaries, event materials, campaign materials, or sponsor/provider statements. 19.6.10.3 Public authority overclaim incidents may trigger claims freeze, public-safe correction, public authority boundary notice, Registry update, Marketplace delisting, Report correction, communication restriction, archive, or escalation to the relevant public authority where appropriate. ### **19.6.11 Procurement or Employment Overclaim Incident.** 19.6.11.1 A Procurement or Employment Overclaim Incident occurs when SCF objects are represented as procurement eligibility, preferred supplier status, hiring approval, employer validation, job guarantee, wage guarantee, employment readiness certification, tender qualification, supplier approval, vendor validation, or workforce placement guarantee. 19.6.11.2 Such incidents may involve credentials, Marketplace listings, portfolio displays, WILPs, employer feedback, sector skill compacts, Foundry Quests, Bounties, Builds, Reports, Registry records, Nexus Universe showcases, or National Skills Maps. 19.6.11.3 Procurement or employment overclaim incidents may trigger correction, listing revision, public-safe notice, credential review, display restriction, Registry update, Marketplace delisting, employer or host review, sponsor/provider review, and archive. ### **19.6.12 Consent Overclaim Incident.** 19.6.12.1 A Consent Overclaim Incident occurs when participation by learners, workers, communities, Indigenous participants where applicable, public-interest actors, youth participants, WILP hosts, Competence Cells, or affected stakeholders is represented as consent, approval, endorsement, data permission, protected knowledge permission, project authorization, deployment authorization, or execution authority beyond what has been separately and lawfully recorded. 19.6.12.2 Consent overclaim incidents may involve Marketplace display, Registry records, Reports, National Portfolios, Nexus Universe showcases, Campaigns, WILPs, community-facing outputs, public authority learning rooms, or sponsor/provider communications. 19.6.12.3 Consent overclaim incidents may trigger public-safe correction, display restriction, community-facing correction, Indigenous protocol-sensitive correction where applicable, data restriction, claims freeze, archive, or escalation. *** ## **19.7 Correctionability** ### **19.7.1 Correction.** 19.7.1.1 Correction shall be the ordinary SCF mechanism for repairing inaccurate, incomplete, misleading, outdated, unsafe, inaccessible, biased, overclaimed, misclassified, or harmful records, displays, credentials, assessments, learning objects, WILPs, Reports, Marketplace listings, Registry statuses, Nexus Universe displays, National Portfolio displays, and labor-market intelligence. 19.7.1.2 Correction may include factual correction, language correction, scope correction, boundary notice correction, evidence correction, data correction, credential status correction, review status correction, accessibility correction, privacy correction, AI-use correction, safeguard correction, public-safe correction, or archive correction. 19.7.1.3 Correction shall be recorded and, where needed, propagated to affected records, displays, users, recipients, Reports, Marketplace listings, Registry entries, ILA records, iCRS records, WILP records, credential records, public-safe summaries, and archive records. ### **19.7.2 Addendum.** 19.7.2.1 An addendum shall be used where the original record or publication remains useful but requires additional information, limitation, clarification, evidence update, boundary notice, new context, correction history, or downstream use warning. 19.7.2.2 Addenda shall be linked to the original record and shall identify the date, steward, reason, affected scope, and continuing limits. 19.7.2.3 Addenda shall not silently overwrite material history where users may need to understand prior status, reliance limits, or correction history. ### **19.7.3 Credential Suspension.** 19.7.3.1 Credential suspension shall be used where a credential requires temporary restriction due to evidence concern, assessment integrity issue, misuse, expiry concern, review dispute, AI incident, bias concern, issuer issue, data issue, or boundary overclaim. 19.7.3.2 Suspended credentials shall be marked clearly in Registry records and shall not be displayed as active or current in Marketplace, portfolios, Reports, Nexus Universe displays, or National Portfolio displays. 19.7.3.3 Suspension shall include reason code, scope, effective date, review pathway, user notice where appropriate, appeal pathway where applicable, and conditions for reinstatement, withdrawal, revocation where necessary, or archive. ### **19.7.4 Credential Withdrawal.** 19.7.4.1 Credential withdrawal shall be used where a credential is no longer valid, supportable, appropriate for display, evidence-supported, within scope, or consistent with SCF governance. 19.7.4.2 Withdrawn credentials shall be marked as withdrawn in Registry records and removed or restricted from Marketplace, portfolio, Reports, Nexus Universe, and National Portfolio display as current credentials. 19.7.4.3 Withdrawal shall preserve necessary historical records for accountability, correction, dispute resolution, and archive, while preventing current-use overclaim. ### **19.7.5 Revocation Where Necessary.** 19.7.5.1 Revocation may be used where a credential, badge, standing, recognition, reviewer role, mentor role, maintainer role, or other SCF status was issued or maintained through fraud, serious misrepresentation, assessment integrity failure, material evidence defect, harmful misuse, or serious boundary violation. 19.7.5.2 Revocation shall require recorded review, proportionality, due process appropriate to context, appeal pathway where applicable, user notice where appropriate, Registry update, Marketplace restriction, display correction, and archive record. 19.7.5.3 Revocation shall not be used casually or punitively. It shall be used where correction, addendum, suspension, or withdrawal is insufficient to protect trust, users, learners, workers, communities, public-safe display, or institutional integrity. ### **19.7.6 Appeal.** 19.7.6.1 SCF shall provide appeal pathways for material decisions affecting credential status, assessment outcome, WILP status, Marketplace display, Registry status, reviewer standing, mentor standing, contributor record, portfolio display, AI-assisted output, or public-safe display where such decisions materially affect the person or entity concerned. 19.7.6.2 Appeals shall be recorded, reviewed by appropriate persons with conflict controls, handled within reasonable governance timelines, and resolved through confirmation, correction, addendum, reinstatement, suspension, withdrawal, revocation where necessary, archive, or non-continuation. 19.7.6.3 Appeal records shall protect privacy, sensitive data, youth data, worker data, protected knowledge, confidential information, and legal obligations. ### **19.7.7 Public Repair.** 19.7.7.1 Public repair shall be used where a public or controlled-public SCF record, Report, Marketplace listing, Registry display, Nexus Universe display, National Portfolio display, credential display, or public-safe summary has created or may create material misunderstanding, harm, overclaim, public authority implication, credential overclaim, employment overclaim, procurement overclaim, consent overclaim, or reputational harm. 19.7.7.2 Public repair may include correction notice, replacement notice, limitation notice, withdrawal notice, public-safe explanation, apology where appropriate, affected community communication, learner communication, worker communication, or sponsor/provider/public authority boundary clarification. 19.7.7.3 Public repair shall be proportionate, truthful, accessible, non-defensive, privacy-protective, and clear about what has changed and what claim shall no longer be relied upon. ### **19.7.8 Archive.** 19.7.8.1 Archive shall preserve SCF institutional memory for objects that are superseded, withdrawn, revoked where necessary, retired, unsupported, non-continuing, historically relevant, legally retained, or required for accountability. 19.7.8.2 Archive records shall include object identity, version, status, reason for archive, successor link where applicable, correction history, access class, public-safe status, display restrictions, retention rule, and archive-not-current notice. 19.7.8.3 Archived objects shall not be displayed as active, current, approved, valid, credential-conferring, employment-relevant, procurement-relevant, public-authority-approved, deployment-ready, or execution-authorizing. ### **19.7.9 Non-Continuation.** 19.7.9.1 Non-continuation shall be used where an SCF object, pathway, credential, WILP, Marketplace listing, Report, Registry status, Nexus Universe output, National Portfolio competency input, Competence Cell pathway, or public-good contribution opportunity will not continue after review. 19.7.9.2 Non-continuation may result from insufficient evidence, lack of support, safeguard concerns, outdated content, misalignment with SCF purpose, legal concern, public-safe concern, sponsor/provider boundary issue, labor concern, accessibility concern, duplication, replacement, or strategic deprioritization. 19.7.9.3 Non-continuation shall be recorded clearly and shall not be represented as failure, sanction, rejection of participants, public authority decision, employer decision, procurement decision, or credential invalidity unless separately recorded. ### **19.7.10 Correction Propagation.** 19.7.10.1 SCF shall propagate corrections to all affected downstream records and surfaces, including ILA records, iCRS records, credential records, WILP records, Marketplace listings, Registry records, Reports, Nexus Universe displays, National Portfolio displays, public-safe summaries, learning objects, assessments, mentor records, reviewer records, Competence Cell records, and archive records. 19.7.10.2 Correction propagation shall identify affected objects, affected users, affected displays, affected claims, affected downstream recipients, required notices, restrictions, successor objects, and archive actions. 19.7.10.3 Correction propagation shall prevent stale records from continuing to support credential claims, employment claims, procurement claims, public authority claims, finance claims, insurance claims, consent claims, deployment claims, or execution claims. *** ## **19.8 Final Part XIX Operating Statement** 19.8.1 SCF shall govern competence, learning, credentials, WILPs, contribution recognition, labor-market intelligence, Marketplace display, Registry status, Reports, Nexus Universe outputs, National Portfolios, and lawful handoff literacy through record, evidence, review, safeguard, public-safe display, data and AI controls, correction, and strict avoidance of credential overclaim. 19.8.2 SCF governance shall make competency systems trustworthy without converting them into professional licensing, degree issuance, public authority approval, employer validation, procurement qualification, financeability, insurability, deployment authorization, or execution authority. 19.8.3 SCF quality assurance shall ensure that competencies, assessments, credentials, curricula, WILPs, employer feedback, learner feedback, accessibility, equity, and correction are continuously reviewed, versioned, corrected, and archived according to recorded scope and public-good purpose. 19.8.4 SCF safeguards shall protect learners, youth, workers, communities, Indigenous participants where applicable, protected knowledge holders, persons with disabilities, humanitarian-sensitive populations, and public-good contributors from exploitation, unsafe participation, misrepresentation, data misuse, credential overclaim, social scoring, and participation-to-consent conversion. 19.8.5 SCF data, privacy, and security controls shall protect learner data, worker data, credential data, portfolios, repositories, identities, verification processes, incident records, deletion, sealing, and archive through purpose limitation, access control, secure governance, and correctionability. 19.8.6 SCF AI governance shall permit AI only as a bounded, labeled, reviewed, human-governed support layer. SCF shall not use AI by default for automated high-stakes credentialing, hiring decisions, worker ranking, learner ranking, social scoring, public authority decisions, procurement determinations, finance decisions, insurance decisions, or deployment decisions. 19.8.7 SCF incident governance shall recognize and correct credential misuse, assessment integrity failures, learner data incidents, AI assessment incidents, bias or discrimination, worker exploitation, WILP misclassification, provider validation, sponsor control, public authority overclaim, procurement or employment overclaim, and consent overclaim. 19.8.8 SCF correctionability shall remain permanent. Correction, addendum, suspension, withdrawal, revocation where necessary, appeal, public repair, archive, non-continuation, and correction propagation shall preserve trust by ensuring that SCF remains evidence-bearing, public-safe, privacy-protective, worker-protective, learner-protective, nationally useful, and legally bounded. 19.8.9 The final rule of Part XIX is that SCF shall be a governed public-good competence infrastructure, not a credential empire, employment gatekeeper, labor-extraction system, social scoring platform, public authority substitute, procurement platform, finance platform, or execution vehicle. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. 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