| { |
| "schema_version": 1, |
| "model_key": "sentinel-mb-c-d11", |
| "model_version": "sentinel-mb-c-d11-20260424", |
| "release_repo_id": "AurelexAI/sentinel-01-pub-ths", |
| "release_channel": "sentinel-01-pub-ths", |
| "source_repo_id": "AurelexAI/sentinel-01-pub", |
| "artifact_format": "torchscript_graph", |
| "graph_file": "model.torchscript.pt", |
| "inputs": [ |
| { |
| "name": "input_ids", |
| "dtype": "int64", |
| "shape": [ |
| "batch", |
| "sequence" |
| ] |
| }, |
| { |
| "name": "attention_mask", |
| "dtype": "int64", |
| "shape": [ |
| "batch", |
| "sequence" |
| ] |
| } |
| ], |
| "output_order": [ |
| "violation", |
| "severity", |
| "domain", |
| "subtype", |
| "jurisdiction", |
| "why", |
| "impacted_principles", |
| "remediation_actions", |
| "content_type", |
| "audience_segment", |
| "detection_difficulty", |
| "aggravating_factors" |
| ], |
| "output_signature": { |
| "violation": { |
| "type": "binary" |
| }, |
| "severity": { |
| "type": "multiclass", |
| "labels": [ |
| "sev_0_compliant_or_ok", |
| "sev_1_minor", |
| "sev_2_moderate", |
| "sev_3_high" |
| ] |
| }, |
| "domain": { |
| "type": "multiclass", |
| "labels": [ |
| "performance_claims_forecasting", |
| "investment_advice_suitability", |
| "conflicts_inducements", |
| "marketing_solicitation_advertising", |
| "selective_disclosure_fair_access", |
| "mnpi_insider_trading", |
| "recordkeeping_supervision", |
| "ai_automation_capability_claims", |
| "privacy_confidentiality", |
| "cybersecurity_internal_controls", |
| "employment_favoritism_role_conflict", |
| "aml_and_suspicious_activity", |
| "other_unknown" |
| ] |
| }, |
| "subtype": { |
| "type": "multiclass", |
| "labels": [ |
| "speculative_outcomes_unqualified", |
| "implicit_or_explicit_guarantee", |
| "risk_context_omitted_or_unbalanced", |
| "unregistered_personalized_investment_advice", |
| "undisclosed_economic_conflict_or_referral", |
| "pressure_or_coercion", |
| "selective_disclosure", |
| "mnpi_misuse_or_encouragement", |
| "recordkeeping_or_preapproval_evasion", |
| "ai_autonomy_or_safety_overstatement", |
| "credentials_validation_or_compliance_misrepresentation", |
| "confidential_data_leakage", |
| "internal_controls_or_exception_process_leakage", |
| "academic_commercial_role_blurring_or_quid_pro_quo", |
| "improper_solicitation_offering_pressure", |
| "excessive_trading_or_account_churning", |
| "product_switching_without_cost_benefit_analysis", |
| "dual_registrant_capacity_or_wrap_fee_conflict_confusion", |
| "elder_exploitation_or_vulnerable_client_signal", |
| "suspicious_activity_indicator_or_structuring", |
| "influencer_or_social_media_promotion_compliance_failure", |
| "crypto_asset_misrepresentation_or_inadequate_disclosure", |
| "other_unknown" |
| ] |
| }, |
| "jurisdiction": { |
| "type": "multiclass", |
| "labels": [ |
| "US", |
| "EU", |
| "UK", |
| "Other", |
| "Unknown" |
| ] |
| }, |
| "why": { |
| "type": "multilabel", |
| "labels": [ |
| "forward_looking_statement_unqualified", |
| "guarantee_or_assurance_language", |
| "omits_material_risk_or_downside", |
| "implies_downside_protection_or_no_drawdown", |
| "cherry_picks_performance_period", |
| "omits_performance_methodology_or_gross_net_context", |
| "personalized_trade_or_allocation_recommendation", |
| "timing_or_sizing_guidance", |
| "creates_implied_advisory_relationship", |
| "conflict_not_disclosed", |
| "referral_relationship_not_disclosed", |
| "omits_fees_costs_or_reasonably_available_alternatives", |
| "selective_private_performance_or_fundraising_update", |
| "off_the_record_or_not_in_writing_language", |
| "mnpi_possession_indicated", |
| "encourages_action_before_public_release", |
| "avoid_recordkeeping_channel_shift", |
| "bypasses_required_preapproval", |
| "pressure_scarcity_urgency", |
| "unsubstantiated_social_proof_or_validation", |
| "omits_testimonial_endorsement_or_rating_disclosure", |
| "obscures_required_disclosure_or_form_crs", |
| "minimizes_need_for_diligence_or_compliance", |
| "overstates_ai_capability_or_removes_human_oversight", |
| "claims_compliance_risk_eliminated", |
| "shares_sensitive_personal_or_financial_data", |
| "violates_need_to_know_data_minimization", |
| "shares_sensitive_internal_controls_or_exceptions", |
| "role_power_imbalance_or_favoritism", |
| "excessive_trading_cost_to_equity", |
| "inadequate_customer_profile_or_suitability_basis", |
| "exploits_vulnerable_or_elderly_client", |
| "aml_suspicious_activity_indicator", |
| "omits_switching_costs_and_product_comparison", |
| "conflict_language_understates_actual_relationship", |
| "omits_influencer_compensation_or_affiliation_disclosure", |
| "misrepresents_sipc_or_regulatory_protection_for_crypto", |
| "data_breach_notification_obligation_triggered", |
| "impedes_regulatory_reporting_or_whistleblower_rights" |
| ] |
| }, |
| "impacted_principles": { |
| "type": "multilabel", |
| "labels": [ |
| "truthful_non_misleading_communications", |
| "balanced_risk_reward_presentation", |
| "no_performance_guarantees_or_promissory_language", |
| "registration_and_scope_of_advice", |
| "duty_of_loyalty_conflict_disclosure", |
| "fair_access_to_material_information", |
| "insider_trading_and_mnpi_controls", |
| "supervision_and_books_records", |
| "privacy_confidentiality_and_secure_handling", |
| "security_control_integrity", |
| "role_separation_and_fair_access_in_academia", |
| "non_coercion_and_no_undue_influence", |
| "accurate_ai_capability_and_human_oversight", |
| "client_vulnerability_and_exploitation_prevention", |
| "aml_and_sanctions_compliance" |
| ] |
| }, |
| "remediation_actions": { |
| "type": "multilabel", |
| "labels": [ |
| "add_forward_looking_disclaimer", |
| "reframe_as_scenarios_not_expectations", |
| "add_balanced_risk_and_downside_section", |
| "remove_or_soften_guarantee_language", |
| "remove_personalized_recommendations", |
| "add_registered_advice_boundary_language", |
| "disclose_conflicts_and_compensation", |
| "add_fees_costs_and_alternatives_comparison", |
| "use_standardized_approved_performance_materials", |
| "add_performance_methodology_and_gross_net_context", |
| "avoid_selective_disclosure_share_broadly", |
| "escalate_mnpi_to_compliance_and_halt", |
| "keep_discussion_on_retained_channels", |
| "require_formal_preapproval_before_send", |
| "remove_pressure_scarcity_and_use_factual_timeline", |
| "substantiation_or_remove_credibility_claims", |
| "add_testimonial_endorsement_and_rating_disclosure", |
| "make_required_disclosure_clear_and_prominent", |
| "avoid_minimizing_compliance_or_diligence", |
| "clarify_ai_is_assistive_with_human_review", |
| "remove_claims_that_ai_eliminates_risk", |
| "redact_and_minimize_sensitive_data", |
| "use_secure_transfer_and_limit_access", |
| "avoid_sharing_internal_controls_or_sanitize", |
| "route_academic_opportunities_through_institution", |
| "separate_recommendation_letters_from_work", |
| "assess_cost_to_equity_against_client_profile", |
| "flag_for_elder_exploitation_review_and_hold", |
| "assess_sar_filing_obligation_and_escalate", |
| "initiate_breach_notification_review_and_timeline", |
| "remove_provisions_impeding_regulatory_communications" |
| ] |
| }, |
| "content_type": { |
| "type": "multiclass", |
| "labels": [ |
| "email", |
| "message" |
| ] |
| }, |
| "audience_segment": { |
| "type": "multiclass", |
| "labels": [ |
| "client", |
| "internal", |
| "prospect_or_investor", |
| "public", |
| "third_party" |
| ] |
| }, |
| "detection_difficulty": { |
| "type": "multiclass", |
| "labels": [ |
| "obvious", |
| "moderate", |
| "subtle" |
| ] |
| }, |
| "aggravating_factors": { |
| "type": "multilabel", |
| "labels": [ |
| "intentional", |
| "reckless", |
| "negligent", |
| "concealment_present", |
| "customer_harm_potential", |
| "financial_benefit_to_respondent", |
| "vulnerable_client", |
| "pattern_or_duration" |
| ] |
| } |
| }, |
| "thresholds": { |
| "violation": 0.5, |
| "why": 0.55, |
| "impacted_principles": 0.7, |
| "remediation_actions": 0.5, |
| "aggravating_factors": 0.4 |
| }, |
| "max_length": 512, |
| "tokenizer_class": "PreTrainedTokenizerFast", |
| "torch_version": "2.1.0" |
| } |
|
|
