In today’s era of artificial intelligence, it is increasingly tempting to pursue models that deliver the highest possible statistical performance—often at the cost of transparency. Many of today’s ...

Read more about From disease detection to biomass forecasting: AI improves aquaculture risk strategy on Devdiscourse ...

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 ...

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 ...

As Artificial Intelligence (AI) becomes an indispensable tool in enterprise financial operations, businesses are swiftly adopting automated solutions for processing invoices, detecting fraud, and ...

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 ...

As artificial intelligence systems become more powerful and widely adopted, they’re not becoming more clear—in fact, it’s often the reverse. Even AI developers can’t always explain how or why their ...

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 ...

Artificial Intelligence (AI) systems are increasingly being deployed across critical domains such as governance, finance, policing, healthcare, and education. From automating loan approvals to facial ...