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.

As increasing use cases of AI in insurance add urgency to the need for explainability and transparency, experts are recommending "explainable AI" best practices to follow and key challenges to ...

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 ...

It is often necessary to subsequently apply explainable AI methods. Nonetheless, Bajorath warns against over-interpreting these explanations, that is, anticipating that features the AI considers ...

There’s excitement bubbling in Kigali, Rwanda, ahead of the Global AI Summit on Africa, which opens today, promising economic opportunities and innovation. Not least because of last week’s ...

Many AI models operate as "black boxes," making interpreting their decision-making processes difficult. To address this, explainable AI (XAI) and deep research models that enhance transparency ...

"And the question is like, where do they all go?" His answer is Ambient, a blockchain with deep capabilities in the AI space – the "future economy," as Good puts it – that could become a ...

More than 60% of the respondents said they expect AI will change human capabilities in a “deep and meaningful” or “fundamental, revolutionary” way over the next 10 years. Half said they ...