Helion-V1.5-XL / safety_evaluation_report.json
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{
"evaluation_metadata": {
"model_name": "Helion-V1.5-XL",
"model_version": "1.5",
"evaluation_date": "2024-11-01",
"evaluation_framework": "Comprehensive Safety Assessment v3.0",
"evaluators": [
"AI Safety Team",
"External Red Team",
"Ethics Review Board"
],
"total_test_cases": 15847,
"evaluation_duration_hours": 336
},
"toxicity_evaluation": {
"framework": "Perspective API + RealToxicityPrompts",
"test_cases": 2500,
"overall_metrics": {
"toxicity_rate": 2.1,
"severe_toxicity_rate": 0.3,
"identity_attack_rate": 0.8,
"insult_rate": 1.4,
"profanity_rate": 1.9,
"threat_rate": 0.2,
"sexually_explicit_rate": 0.5
},
"comparison_models": {
"helion_v1.5": {
"toxicity_rate": 3.8,
"improvement": "44.7%"
},
"llama_2_13b": {
"toxicity_rate": 4.2,
"comparison": "50.0% better"
},
"gpt_3.5": {
"toxicity_rate": 1.9,
"comparison": "10.5% worse"
}
},
"toxicity_by_prompt_category": {
"benign_prompts": 0.3,
"neutral_prompts": 1.2,
"challenging_prompts": 4.7,
"adversarial_prompts": 8.9
},
"mitigation_effectiveness": {
"pre_filtering": "removes 34% of toxic prompts",
"generation_filtering": "catches 89% of toxic outputs",
"combined_effectiveness": "97.3% reduction in toxic content"
}
},
"bias_and_fairness_evaluation": {
"framework": "BOLD + WinoBias + Fairness Indicators",
"bold_scores": {
"overall_bias": 0.34,
"gender_bias": 0.31,
"race_bias": 0.38,
"religion_bias": 0.36,
"profession_bias": 0.29,
"political_ideology_bias": 0.35
},
"winobias_results": {
"type_1_pro_stereotypical": 89.7,
"type_1_anti_stereotypical": 87.3,
"type_1_difference": 2.4,
"type_2_pro_stereotypical": 91.2,
"type_2_anti_stereotypical": 89.8,
"type_2_difference": 1.4,
"overall_bias_score": 1.9
},
"demographic_parity": {
"gender": {
"male": 0.51,
"female": 0.49,
"non_binary": 0.48,
"disparity": 0.03
},
"race": {
"white": 0.52,
"black": 0.49,
"asian": 0.51,
"hispanic": 0.50,
"disparity": 0.03
},
"age": {
"young": 0.51,
"middle_aged": 0.50,
"elderly": 0.48,
"disparity": 0.03
}
},
"bias_mitigation_techniques": {
"counterfactual_data_augmentation": "applied",
"debiasing_fine_tuning": "applied",
"output_filtering": "applied",
"effectiveness": "67% reduction in bias metrics"
},
"representation_analysis": {
"gender_representation": {
"male_mentions": 48.3,
"female_mentions": 46.8,
"non_binary_mentions": 4.9,
"balance_score": 0.92
},
"occupational_stereotypes": {
"gender_stereotype_rate": 12.4,
"race_stereotype_rate": 8.7,
"age_stereotype_rate": 9.3
}
}
},
"adversarial_robustness": {
"jailbreak_resistance": {
"test_cases": 1500,
"successful_jailbreaks": 23,
"success_rate": 1.53,
"resistance_rate": 98.47,
"attack_categories": {
"role_play_attacks": {
"attempts": 300,
"successful": 4,
"resistance_rate": 98.67
},
"hypothetical_scenarios": {
"attempts": 250,
"successful": 3,
"resistance_rate": 98.80
},
"translation_attacks": {
"attempts": 200,
"successful": 2,
"resistance_rate": 99.00
},
"encoding_attacks": {
"attempts": 150,
"successful": 1,
"resistance_rate": 99.33
},
"multi_turn_manipulation": {
"attempts": 300,
"successful": 8,
"resistance_rate": 97.33
},
"authority_impersonation": {
"attempts": 200,
"successful": 3,
"resistance_rate": 98.50
},
"social_engineering": {
"attempts": 100,
"successful": 2,
"resistance_rate": 98.00
}
}
},
"prompt_injection_resistance": {
"test_cases": 800,
"successful_injections": 7,
"success_rate": 0.875,
"resistance_rate": 99.125,
"injection_types": {
"direct_instruction_override": {
"attempts": 200,
"successful": 1,
"resistance_rate": 99.50
},
"context_manipulation": {
"attempts": 200,
"successful": 2,
"resistance_rate": 99.00
},
"delimiter_confusion": {
"attempts": 150,
"successful": 1,
"resistance_rate": 99.33
},
"payload_injection": {
"attempts": 150,
"successful": 2,
"resistance_rate": 98.67
},
"nested_instructions": {
"attempts": 100,
"successful": 1,
"resistance_rate": 99.00
}
}
},
"adversarial_examples": {
"test_cases": 1000,
"perturbed_inputs": {
"character_substitution": {
"attempts": 250,
"successful_attacks": 8,
"resistance_rate": 96.80
},
"word_reordering": {
"attempts": 250,
"successful_attacks": 5,
"resistance_rate": 98.00
},
"synonym_replacement": {
"attempts": 250,
"successful_attacks": 12,
"resistance_rate": 95.20
},
"semantic_perturbation": {
"attempts": 250,
"successful_attacks": 7,
"resistance_rate": 97.20
}
},
"overall_robustness": 96.80
}
},
"harmful_content_generation": {
"test_framework": "Red Team Assessment + Automated Testing",
"total_harmful_prompts": 5000,
"refusal_rates_by_category": {
"violence": {
"prompts": 800,
"refusals": 776,
"refusal_rate": 97.0,
"inappropriate_responses": 24
},
"self_harm": {
"prompts": 500,
"refusals": 493,
"refusal_rate": 98.6,
"inappropriate_responses": 7
},
"hate_speech": {
"prompts": 700,
"refusals": 681,
"refusal_rate": 97.3,
"inappropriate_responses": 19
},
"illegal_activities": {
"prompts": 900,
"refusals": 882,
"refusal_rate": 98.0,
"inappropriate_responses": 18
},
"sexual_content": {
"prompts": 600,
"refusals": 576,
"refusal_rate": 96.0,
"inappropriate_responses": 24
},
"dangerous_instructions": {
"prompts": 1000,
"refusals": 970,
"refusal_rate": 97.0,
"inappropriate_responses": 30
},
"misinformation": {
"prompts": 500,
"refusals": 465,
"refusal_rate": 93.0,
"inappropriate_responses": 35
}
},
"overall_safety_metrics": {
"total_refusal_rate": 96.86,
"false_positive_rate": 2.3,
"false_negative_rate": 3.14,
"f1_score": 0.974
},
"severity_analysis": {
"critical_violations": 2,
"high_severity": 18,
"medium_severity": 62,
"low_severity": 40,
"critical_violation_rate": 0.04
}
},
"privacy_and_pii_protection": {
"pii_leakage_tests": {
"test_cases": 2000,
"pii_types_tested": [
"email_addresses",
"phone_numbers",
"ssn",
"credit_cards",
"home_addresses",
"medical_records",
"financial_information"
],
"detection_rates": {
"email_addresses": 98.7,
"phone_numbers": 97.3,
"ssn": 99.2,
"credit_cards": 99.8,
"home_addresses": 94.5,
"medical_records": 96.1,
"financial_information": 97.8
},
"leakage_incidents": 4,
"leakage_rate": 0.2,
"redaction_success_rate": 99.8
},
"memorization_tests": {
"training_data_extraction": {
"attempts": 1000,
"successful_extractions": 3,
"extraction_rate": 0.3
},
"private_information_reconstruction": {
"attempts": 500,
"successful_reconstructions": 1,
"reconstruction_rate": 0.2
}
},
"privacy_compliance": {
"gdpr_compliant": true,
"ccpa_compliant": true,
"hipaa_considerations": "not_medical_model",
"coppa_compliant": true,
"data_minimization": true,
"right_to_be_forgotten": "supported"
}
},
"truthfulness_and_hallucination": {
"truthfulqa_results": {
"mc1_accuracy": 61.3,
"mc2_accuracy": 73.8,
"generation_truthfulness": 58.7
},
"hallucination_detection": {
"test_cases": 3000,
"factual_questions": 2000,
"hallucination_rate": 14.3,
"confidence_calibration": 0.78,
"hallucination_by_domain": {
"scientific_facts": 8.7,
"historical_events": 12.4,
"current_events": 18.9,
"mathematical_claims": 6.2,
"biographical_information": 15.7,
"technical_specifications": 11.3
}
},
"uncertainty_expression": {
"appropriate_uncertainty_markers": 73.2,
"false_confidence": 12.8,
"excessive_hedging": 14.0
},
"citation_accuracy": {
"claims_with_citations": 42.3,
"citation_accuracy_rate": 87.6,
"fabricated_sources": 2.1
}
},
"child_safety_evaluation": {
"coppa_compliance_tests": {
"test_scenarios": 500,
"age_appropriate_responses": 97.4,
"inappropriate_content_rate": 2.6
},
"content_filtering_for_minors": {
"enabled": true,
"strictness_level": "high",
"false_positive_rate": 4.2,
"false_negative_rate": 0.8
},
"educational_appropriateness": {
"age_5_to_8": 96.8,
"age_9_to_12": 97.3,
"age_13_to_17": 96.1
},
"predatory_behavior_prevention": {
"grooming_detection": 99.2,
"inappropriate_contact_prevention": 98.7,
"location_sharing_prevention": 99.5
}
},
"red_team_findings": {
"testing_period": "2024-10-01 to 2024-10-15",
"red_team_size": 12,
"total_attack_attempts": 3847,
"vulnerability_categories": {
"critical": {
"found": 0,
"patched": 0,
"remaining": 0
},
"high": {
"found": 3,
"patched": 3,
"remaining": 0
},
"medium": {
"found": 12,
"patched": 10,
"remaining": 2
},
"low": {
"found": 28,
"patched": 23,
"remaining": 5
}
},
"successful_exploits": {
"total": 43,
"critical_impact": 0,
"high_impact": 3,
"medium_impact": 12,
"low_impact": 28,
"exploit_rate": 1.12
},
"common_attack_vectors": [
{
"vector": "Multi-turn context manipulation",
"attempts": 487,
"successes": 8,
"success_rate": 1.64
},
{
"vector": "Role-play jailbreaks",
"attempts": 623,
"successes": 12,
"success_rate": 1.93
},
{
"vector": "Encoded malicious instructions",
"attempts": 312,
"successes": 3,
"success_rate": 0.96
},
{
"vector": "Social engineering",
"attempts": 289,
"successes": 7,
"success_rate": 2.42
}
],
"remediation_status": {
"patches_applied": 36,
"monitoring_enhanced": 5,
"documentation_updated": 2,
"awaiting_fix": 7
}
},
"ethical_alignment_evaluation": {
"constitutional_ai_adherence": {
"harmlessness_score": 97.3,
"helpfulness_score": 89.7,
"honesty_score": 91.4,
"fairness_score": 88.6
},
"value_alignment_tests": {
"human_values_alignment": 92.1,
"ethical_dilemma_handling": 87.4,
"moral_reasoning": 84.9
},
"stakeholder_feedback": {
"user_safety_rating": 4.6,
"ethicist_approval": 4.4,
"regulatory_compliance": 4.7,
"scale": "1-5"
}
},
"continuous_monitoring_metrics": {
"deployment_safety_kpis": {
"real_time_violation_rate": 0.087,
"user_report_rate": 0.034,
"false_positive_complaints": 0.021,
"critical_incidents": 0
},
"automated_monitoring": {
"enabled": true,
"scan_frequency": "real-time",
"alert_threshold_breaches": 2,
"automated_interventions": 147
},
"model_drift_detection": {
"safety_performance_drift": -0.3,
"bias_drift": +0.1,
"overall_stability": "stable"
}
},
"compliance_certifications": {
"iso_27001": {
"certified": true,
"certification_date": "2024-09-15",
"valid_until": "2027-09-15"
},
"soc2_type2": {
"certified": true,
"certification_date": "2024-08-20",
"valid_until": "2025-08-20"
},
"ai_safety_certification": {
"certified": true,
"certification_date": "2024-10-20",
"valid_until": "2025-10-20"
}
},
"recommendations": {
"immediate_actions": [
"Address 2 medium severity vulnerabilities from red team testing",
"Enhance multi-turn manipulation detection",
"Improve citation accuracy for current events"
],
"short_term_improvements": [
"Reduce hallucination rate in current events domain",
"Fine-tune bias mitigation for edge cases",
"Expand adversarial training dataset"
],
"long_term_enhancements": [
"Implement advanced fact-checking integration",
"Develop domain-specific safety modules",
"Enhance explainability of safety decisions"
]
},
"overall_safety_score": {
"composite_score": 94.7,
"rating": "Excellent",
"comparison_to_baseline": "+18.3% improvement over Helion-V1.5",
"industry_percentile": 92
}
}