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#policy-design News & Analysis

2 articles tagged with #policy-design. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · Jun 56/10
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Safe Embodied AI for Long-horizon Tasks: A Cross-layer Analysis of Robotic Manipulation

A comprehensive survey examines safety mechanisms for embodied AI systems performing long-horizon robotic manipulation tasks, identifying critical gaps in current research across planning, policy design, and execution phases. The analysis reveals that while safety receives attention, evidence remains fragmented with limited formal guarantees, particularly for contact-rich manipulation scenarios in real-world deployment.

AINeutralarXiv – CS AI · May 96/10
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Understanding Annotator Safety Policy with Interpretability

Researchers introduce Annotator Policy Models (APMs), interpretable machine learning models that extract and visualize annotators' implicit safety policies from labeling behavior alone. By revealing disagreement sources—operational failures, policy ambiguity, and value pluralism—APMs enable more transparent and inclusive AI safety policy design without requiring costly additional annotation.