Browsing: AI Explainability

The importance of explainability in AI systems is often overstated, as a lack of explainability does not necessarily make a system unreliable or unsafe.…

AI systems are becoming increasingly ubiquitous in our lives, but their inner workings are often impenetrable and unpredictable, making it difficult to trust them.…

The interpretability problem, also known as AI explainability, is the challenge of understanding and predicting what AI is doing. Deep learning systems, which are…

VERSES AI Inc. has published a research paper that proposes a unique AI architecture based on the active inference framework and the Free Energy…