AI systems have tremendous potential, but the average user has little visibility and knowledge on how the machines make their decisions. AI explainability can build trust and further push the ...

A new scoping review of 73 studies argues that explanations in AI-driven 5G and 6G networks must balance fidelity, latency, ...

A new hybrid explainable machine learning framework combines satellite environmental data with health records to predict ...

AI explainability and AI interpretability are notions often used interchangeably, despite immense differences in intention and practical application. This can be fine for high-level conversations ...

Explainable Artificial Intelligence (XAI) seeks to render the operation and decisions of complex machine learning systems transparent and interpretable to users, regulators and other stakeholders. As ...

Is AI a Black box or is it possibly more easily understandable than we previously thought? New research implies that ...

Forbes contributors publish independent expert analyses and insights. Dr. Gerui Wang writes about AI, society, media, and culture. SUQIAN, CHINA - JANUARY 27, 2025 - An illustration photo shows the ...

Credit history shows how a person has handled past loans. But it does not show what their money looks like today. Two ...

Two of the biggest questions associated with AI are “why does AI do what it does”? and “how does it do it?” Depending on the context in which the AI algorithm is used, those questions can be mere ...

An area of great hope and promise for applied artificial intelligence (AI) deep learning is at the intersection of neuroscience and oncology, both challenging fields known for their inherent ...

Found in knee replacements and bone plates, aircraft components, and catalytic converters, the exceptionally strong metals known as multiple principal element alloys (MPEA) are about to get even ...