The patient knowledge gap is considered to be a critical shortcoming for the medical community, particularly at a time when ...

Many past machine learning approaches to microplastic detection have been criticised for relying on idealised datasets ...

While AI can improve how legal practitioners function and how people access the justice system, Carla L. Reyes, a recognized ...

As customer expectations evolve, businesses are seeking more advanced AI solutions that can bridge the gap between automated ...

Gade explains, “for AI to be successfully implemented at scale, people need to learn to rely on similar abstractions, and AI needs to amplify trust. People need to understand how the machine is ...

In my previous article, I discussed the importance of AI explainability and the different categories of AI explainability, explainable predictions, explainable algorithms and interpretable ...

It is important that organizations understand who trains their AI systems, what data was used and, just as importantly, what went into their algorithms’ recommendations. A high-quality explainable AI ...

In an era where AI adoption frequently outpaces regulatory readiness, Archana Pattabhi, Senior Vice President at a leading global bank, led a forward-looking transformation that redefined how ...