What does Xai mean?

XAI aims to explain how these algorithms reach these conclusions and what factors affected the conclusion. In Wikipedia, XAI is defined as: Explainable AI ( XAI) refers to methods and techniques in the application of artificial intelligence technology (AI) such that human experts can understand the results of the solution.

Can Xai be used in medical research?

XAI has the potential to be extremely beneficial to the AI research community. This subsection explores several prospective areas of research where explainable models are currently being used. Applications of XAI. Meske et al. described the theoretical impact of explainability on AI trust and how XAI may be utilized in a medical setting.

Will Xai try to develop a safer & fairer AI system?

Besides attempting to understand the universe, it seems likely that xAI will try to develop what Musk deems a safer, fairer AI system. Musk has previously signed a letter calling for a pause on the development of AI systems, citing safety fears about their untrammelled advance.

What are Xai tools?

Researchers in the XAI domain are currently developing tools for the exploration, debugging, and validation of AI models. These tools enable users to test models with a wide range of structures, allowing users to pick the best model for their task based on specific metrics.