The core problem tackled by this research is the opaque nature of many high-performing AI models used in fraud detection.

This study presents a valuable meta-analysis that highlights low and highly variable breast cancer survival rates across Africa, emphasizing the pressing need for public health in Africa. The evidence ...

In supervised learning, the mapping between paired input and output variables is iteratively optimised for use in regression ... testing and limited transparency around the processes by which DL ...

To understand this fit of exposure metric to disease process, it may be helpful to consider that the “black box” between exposure and disease ... The workers were tested on the neurobehavioural test ...

ORNL’s “black box” grid modeling method protects proprietary information about the inner workings of equipment while ...

Even AI developers can’t always explain how or why their complex models generate the outputs they do, leading to these tools being dubbed “black box” AI systems. Without clear insight into ...

AI's increasing role in decision-making necessitates transparency to combat the 'black box' problem. Moving towards 'glass box' AI models is crucial for explainability, fostering trust ...

The black box in all airplanes helps the experts determine and reconstruct the circumstances that led to the accident. Despite its name, you might be surprised to know that the black box isn't ...