Explainability

In the context of AI, explainability is the ability to explain the reasoning behind a model's decisions. This is a key area of research in AI safety, as it is important to be able to understand why a model is making the decisions it is making, especially in high-stakes applications like healthcare and finance.

Explainability is a key component of any successful AI strategy, as it can help to build trust and confidence in your AI systems.