What is Version Drift in AI?

Version drift in AI refers to the issue of outdated information affecting the performance and reliability of artificial intelligence systems. This is becoming a significant concern for enterprises, as relying on stale data can lead to poor decision-making and increased risks, potentially more so than the well-known problem of AI hallucination. Understanding and addressing version drift is crucial for businesses to ensure their AI tools remain effective and trustworthy.