Google Research·· 11 d ago
Open and Emergent Problems in Agentic Privacy and Security: A Contextual Angle
Open and Emergent Problems in Agentic Privacy and Security: A Contextual Angle
AI summary
We're rapidly transitioning to a computing landscape defined by highly general, increasingly autonomous agents. Driven by large language models (LLMs) that can dynamically generate plans and invoke external tools, these systems offer the potential for AI to seamlessly handle complex, multi-step tasks on our behalf.
Selection record
Threshold 60Official, first-handFirst 34Second 34
Not admittedSum of both 68 < twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：讨论AI智能体隐私安全与上下文完整性
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: Google Research · research.google