{
  "node_id": "ieee-ethics-ai-system",
  "title": "IEEE Ethics (AI Systems)",
  "domain": "AI Governance & Law",
  "version": "1.1.0",
  "last_updated": "2026-04-09",
  "bluf": "Compliance verification for this node mandates adherence to a comprehensive framework of IEEE standards governing ethical AI system development and deployment. The process begins by prioritizing human well-being, a principle central to Ethically Aligned Design, requiring both an approved human_rights_impact_assessment_approved and active wellbeing_metrics_defined_and_tracked. Stakeholder values are integrated through a formal process, outlined in IEEE 7000-2021, which necessitates no fewer than the stakeholder_engagement_sessions_min of three completed sessions. System transparency, a core tenet of IEEE 7001-2021, is quantitatively enforced by a transparency_explainability_score_min threshold of 0.85, supported by enabled accountability_traceability_logging_enabled and an available automated_decision_appeal_mechanism. In alignment with the IEEE 7002-2022 standard, data privacy is upheld by ensuring data_agency_user_control_enabled is active. To address fairness, algorithmic bias considerations from IEEE 7003-2023 impose a strict algorithmic_bias_variance_max of 0.05 between specified groups. Finally, system safety and reliability are governed by IEEE 7009-2024 principles for fail-safe design, mandating a human_override_capability_active, a completed misuse_risk_simulation_completed analysis, and a validated system performance achieving a system_competence_validation_score_min of 0.9 before operational clearance is granted.",
  "paywall": {
    "status": "LOCKED",
    "unlock_cost_usd": "0.01",
    "skyfire_id": "41779894-ece2-4163-9761-b3b1b76e19b0"
  },
  "crosswalks": {
    "_available_keys": [
      "nist_framework",
      "iso_standard",
      "ai_overlay_2026",
      "industry_mapping"
    ],
    "_note": "Full crosswalk values included in vault response"
  },
  "dependencies": [
    "nist-ai-rmf-1-0",
    "oecd-ai-principles",
    "unesco-ethics-ai",
    "iso-42001-risk-assess",
    "nist-sp-1270-managing-ai-bias",
    "nistir-8312-explainable-ai-principles"
  ],
  "primary_citations_count": 6
}