The paper introduces a foundational framework with definition, architecture, and processes for effective human oversight of AI systems, plus a documentation template and open research challenges.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Localization uncertainty visualization in AI predictions improves human annotation quality and speed by redirecting effort toward high-uncertainty boxes.
citing papers explorer
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Keeping an Eye on AI: A Framework for Effective Human Oversight of AI Systems
The paper introduces a foundational framework with definition, architecture, and processes for effective human oversight of AI systems, plus a documentation template and open research challenges.
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From Model Uncertainty to Human Attention: Localization-Aware Visual Cues for Scalable Annotation Review
Localization uncertainty visualization in AI predictions improves human annotation quality and speed by redirecting effort toward high-uncertainty boxes.