Kandikatla and Radeljic
View original resourceKandikatla and Radeljic propose a risk-based framework for calibrating human oversight of AI, tying oversight intensity to capability, context, and consequence. Maps oversight patterns (in-the-loop, on-the-loop, out-of-the-loop) to concrete risk tiers.
Published
2025
Jurisdiction
International
Category
Governance frameworks
Access
Public access
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