人工知能法のリスクベースのアプローチを補完する

Samuela Marchiori¹, Jeroen K G Hopster², Anna Puzio³

¹Department of Values, Technology and Innovation, Delft University of Technology, Delft, The Netherlands. s.marchiori@tudelft.nl.

Science and engineering ethics

|August 27, 2025

まとめ

適切なAIガバナンスにはリスク評価以上のものが必要です AI法を補完する社会的な破壊力に基づくアプローチは,よりよい規制のためにAIのより広範な社会的および倫理的な影響に対処します.

科学分野:

社会技術システム
AIのガバナンス
法的な規制

背景:

欧州連合のAI法は,AIシステムを規制するためにリスクベースのアプローチを採用しています.
既存のAIガバナンスフレームワークは,AIのより広範な社会技術的な意味を完全に捉えていない可能性があります.
社会的および倫理的な懸念は,法的リスクを超えた AI の破壊的可能性から生じます.

研究の目的:

人工知能のガバナンスに"社会的破壊力に基づく"アプローチを提案する.
AI法のリスクベースの枠組みを社会への影響に焦点を当てて補完する.
人工知能やその他の社会破壊的な技術のガバナンスを強化する.

主な方法:

人工知能法のリスクベースのアプローチの分析
社会的破壊力に基づくガバナンス・フレームワークの概念化
法的,倫理的,人間的な実践の考慮を統合する.

主要な成果:

リスクベースの評価と社会的な破壊力を組み合わせた二重アプローチは,AIの社会的影響についてより微妙な理解を提供します.
社会的破壊力には法的規制だけでは簡単に解決できない影響があります
この統合されたアプローチはAIシステムのガバナンスを改善することができます.

結論:

効果的なAIガバナンスには法的リスクとより広範な社会的混乱の両方に対処する必要があります
社会的破壊的なレンズを統合することで,AI規制の包括性を高めます.
この枠組みは,ダイナミックな社会技術的な環境における適応的なガバナンスをサポートします.

キーワード:

AI アクト人工知能 (AI)統治について責任ある研究とイノベーション (RRI)社会的な混乱社会的に破壊的な技術

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