A major new systematic review finds that explainability has become the weakest link in the generative AI ecosystem, with ...

A new explainable AI technique transparently classifies images without compromising accuracy. The method, developed at the University of Michigan, opens up AI for situations where understanding why a ...

Explainable AI (XAI) exists to close this gap. It is not just a trend or an afterthought; XAI is an essential product capability required for responsibly scaling AI. Without it, AI remains a powerful ...

Explainable AI provides human users with tools to understand the output of machine learning algorithms. One of these tools, feature attributions, enables users to know the contribution of each feature ...

Artificial intelligence (AI) is a powerful accelerator that many industries recognize for its ability to predict, analyze, and detect anomalies.

When AI falters, it’s easy to blame the model. People assume the algorithm got it wrong or that the technology can’t be trusted. But here’s what I've learned after years of building AI systems at ...

As I sat down with Jim Wilson, global managing director of thought leadership and technology at Accenture and co-author of the newly updated book Human + Machine: Reimagining Work in the Age of AI, ...

Immune Checkpoint Blockade (ICB) has reshaped cancer care and can deliver durable remission in malignancies such as melanoma and non-small cell lung cancer.

Scientists have developed and tested a deep-learning model that could support clinicians by providing accurate results and clear, explainable insights – including a model-estimated probability score ...