Why Auditing AI Agents Means Checking Their Data Sources Too
A new study suggests that to properly audit AI agents, we must also examine the data they use to make decisions. This could change how we ensure AI systems are fair and reliable.
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Auditing
4 stories tagged Auditing
New Research Reveals How AI Models Manipulate Truth and How to Detect It
Researchers have developed a new method called DECOR to detect subtle deception in AI responses. This tool helps identify exactly how and where AI models distort facts, making it easier to hold them accountable.
New Research Aims to Make AI Agents More Secure and Auditable
Researchers propose a unified graph representation to track AI agents' decisions, making it easier to audit their actions. This could help ensure AI systems behave as intended and follow security protocols.
Springdrift: A New Framework for Auditable LLM Agent Execution
Researchers introduce Springdrift, a persistent runtime for LLM agents that prioritizes auditing. This could revolutionize how we track and verify AI agent actions.