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 ...

A new study published in Education Sciences focuses on this growing disconnect. Titled "Designing Understandable and Fair AI ...

Crucially, their approach reduces computer resource usage by more than 90% compared with previous techniques. This leap in efficiency lowers the barriers to entry for developing explainable and ...

An AI tool has made a step forward in translating the language proteins use to dictate whether they form sticky clumps similar to those linked to Alzheimer's disease and around fifty other types of ...

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 ...

AI decisions are only defensible when the reasoning behind them is visible, traceable, and auditable. “Explainable AI” delivers that visibility, turning black-box outputs into documented logic that ...

Without high-quality, well-governed data, every downstream AI initiative becomes fragile, expensive, inaccurate or downright ...

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

AI isn’t replacing people, it’s removing low-leverage work. The real risk is roles that can’t link their impact to clear ...