S0023Significant

黑箱決策阻礙問責追溯

Operation & Monitoring

Risk Description

Deep learning model opacity makes it difficult to trace decision causes and accountability when AI systems cause harm. Affected individuals cannot obtain meaningful explanations to understand and challenge adverse AI decisions. This directly violates many regulations (e.g., GDPR Article 22) requiring explanation rights for automated decisions, and prevents organizations from identifying and correcting root causes of adverse outcomes.

Framework Mappings

iso 23894R4
tw principle透明與可解釋
tw principle問責
tw risk type技術設計缺陷(Technical Design Flaw)

Controls English translation pending

  • 決策審計軌跡
  • 可解釋性工具部署

Implementation Steps English translation pending

  1. 對所有高影響 AI 決策建立完整的審計軌跡(包括輸入、輸出、中間步驟)
  2. 部署事後可解釋性工具(如 SHAP、LIME)產生決策解釋
  3. 建立使用者可存取的決策解釋介面
  4. 對無法提供充分解釋的 AI 決策設立人工覆審機制