As increasing use cases of AI in insurance add urgency to the need for explainability, experts are recommending best practices.

This increase in transparency can prove to be the key to achieving explainable AI, something which is necessary for AI adoption in stagnant industries such as law, medicine and accounting.

Explainable Artificial Intelligence (XAI) is rapidly emerging as a crucial advancement, poised to tackle this pressing issue by providing clarity and justification for decisions made by AI algorithms.

advocate for the use of explainable artificial intelligence (XAI) methods in geoscience. The researchers aim to facilitate the broader adoption of AI in geoscience (e.g., in weather forecasting ...

Zehra Cataltepe is the CEO of TAZI.AI, an adaptive, explainable AI and GenAI platform for business users. She has 100+ AI papers & patents. For wealth management firms, finding and converting the ...

Explainable AI (xAI) is the answer – it makes the process more understandable. This article try to show how xAI can help banks be more transparent, reduce bias, and build more trust with their ...

In order to include the analyst and human user side, our AI, Machine Learning & Robotics faculty work in areas including explainable AI, fairness in AI, natural language processing and related topics.

HACARUS’ Sparse Modeling is a cutting-edge technology that enables AI to deliver fast, explainable results. It is energy efficient, can bring AI to embedded low-power applications and can ...