arXiv (All)
open access
agent-risk: Risk Assessment for Changes to AI Agents
Before changing a deployed AI agent (a stricter safety gate, a new model), organizations must approve the change, starting from existing logs. Extending classical risk analysis to partial records and partial changes to running systems, agent-risk replays logged episodes, assuming nothing else change
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Open Problems in AI Risk Modeling: Insights from a Workshop on the Technical Foundations of AI Risk Modeling#925540
- Benchmarks are Not Enough: RAMP for Runtime Assessing of Agentic Models in Production Systems#241590
- Evolutionary Safety of Recursive Self-Improving AI: Taxonomy, Risk Discovery, and Evaluation#1105744
- Root-Cause Attribution Is a Search Problem: Continual Search for Long-Horizon Agent Failures#1071249
- Kepler: Auditable World Models for ARC-AGI-3#1155769
Record · ID 1327870
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive