NEWS
Ontologies are insufficient for catching errors in AI agentsResearch shows that ontologies used to audit the responses of agents operating on knowledge graphs carry a risk of erroneously filtering out correct answers rather than catching faulty ones. In particular, on the UniProt data, it emerged that carefully prepared ontologies are no more accurate than random alerts. This is a news summary compiled for the AiPulse newsletter — not the original article. The original article is at arxiv.org. Read the original article AI Critique → English (automatic translation) |