Another option is to use these powerful black-box models alongside a separate explanation algorithm to clarify the model or ...

As digital finance continues to evolve at a rapid pace, so too does the complexity surrounding data security, fraud de ...

It was trained using a large collection of known tumor data and then tested on over 5,000 tumor samples. The model correctly ...

Black box AI, despite its lack of algorithm transparency and AI interpretability, delivers high accuracy in decision-making, making it really helpful for complex tasks where explainable AI might ...

Only 25% of AI projects meet ROI goals. IBM argues the solution is strategy-first, not more hype. Learn how to scale AI with ...

Researchers have developed an AI system capable of predicting whether and why proteins form sticky clumps, a process ...

Prof Saurabh Bagchi from Purdue University explains the purpose of AI black boxes and why researchers are moving towards ‘explainable AI’. For some people, the term ‘black box’ brings to ...

As artificial intelligence reshapes financial compliance practices, regulators across Latin America and globally are ...

Another option is to use these powerful black-box models alongside a separate explanation algorithm to clarify the model or its decisions. This approach, known as “explainable AI”, allows us ...