• Collaboration is deepened. Regular cross-functional dialogue creates a feedback loop that continuously refines both AI ...

As the "black-box" problem creates challenges for AI, explainable AI can help reshape business-to-business operations by ...

In a new paper published in Nature Geoscience, experts from Fraunhofer Heinrich-Hertz-Institut (HHI) advocate for the use of explainable artificial intelligence (XAI) methods in geoscience.

The rapid growth of artificial intelligence (AI) has brought many benefits, from higher productivity to improved health ...

Artificial intelligence continues to push boundaries, and at Brown University, one project in particular is at the forefront of explainable AI. ClickMe AI, an initiative from the Serre Lab under ...

This is a crucial step in strengthening the responsible use of AI in society. More information: Nazneen Mansoor et al, Explainable AI for DeepFake Detection, Applied Sciences (2025). DOI: 10.3390 ...

However, the “black box” nature of many AI models—wherein the decision-making processes are opaque—has raised concerns regarding transparency, accountability, and trust. To address these issues, the ...

Europe is keeping a tight leash on the proliferation of AI with a landmark act, affecting Big Tech players in Silicon Valley ...

The AI-based application enables a precise and comprehensible evaluation of skin lesions, supported by the latest methods of explainable artificial intelligence. SkinDoc combines ongoing research ...

Explainable artificial intelligence (XAI) is a branch of AI that helps users to peek inside the black-box of AI models to understand how their output is generated and whether their forecasts can be ...