Law codes and regulations help organise societies for centuries, and as AI
systems gain more autonomy, we question how human-agent systems can operate as
peers under the same norms, especially when resources are contended. We posit
that agents must be accountable and explainable by ref
本文研究了 AI 系统解释决策的重要性，探究了现有的端用户可解释性是否满足了解释决策的法律需求，发现端用户可解释性虽然在某些方面表现出色，但在满足理解人类决策者的需求方面表现欠佳，因此提出 AI 系统的解释权可能带来更多负面影响的观点，呼吁相关管理者和机器学习从业者重新考虑 AI 系统的端用户可解释性与解释权。