Category: AI explainability

Recent coverage highlights that explainable AI (XAI) remains an unresolved challenge: even top AI executives admit they cannot always determine why a model arrives at a particular output, underscoring a lack of reliable transparency mechanisms. This gap matters…

Key developments: The European AI Office rolled out a Code of Practice on Transparency of AI‑Generated Content on 10 June 2026, mandating machine‑readable labeling and detection of synthetic media. At the same time, senior AI leaders acknowledge that explainability remains…