Researchers have been trying to demystify complex AI models by developing interpretable and transparent models, collectively ...

Artificial Intelligence should probably explain itself because it can. Another reason why AI tools need to be explainable is ...

As AI becomes more integrated into society, leaders must address key concerns around bias, data privacy and transparency.

To be clear, are you saying Google has completely solved the black box problem, or just that you're shining a bit of light in there? With the new Explainable AI tools we're able to help data ...

Explainable AI(XAI) is another AI which is the antithesis of Black Box AI. It aims to make complex AI decisions more ...

Its ‘black box’ process also makes it impossible ... HACARUS’ Sparse Modeling is a cutting-edge technology that enables AI to deliver fast, explainable results. It is energy efficient ...

We can expect the development of more sophisticated AI models that are transparent and explainable, addressing the current “black box” challenge. The integration of AI could also lead to the ...