In it, explainable AI is placed at the peak of inflated expectations. In other words, we have reached peak hype for explainable AI. To put that into perspective, a recap may be useful.

With generative AI tools becoming commonplace in schools and universities, educators and policymakers are increasingly ...

As such, explainable AI is necessary to help companies pick up on the "subtle and deep biases that can creep into data that is fed into these complex algorithms.

Explainable AI asks ML algorithms to justify their decision-making in a similar way. For example, in 2016 researchers from the University of Washington built an explanation technique called LIME ...

In this day and age of shifting regulation, the position of tax technology is no longer merely operational—instead, it's ...

A peek under the hood. This is leading to a new field of study called explainable AI (XAI), which seeks to infuse AI algorithms with enough transparency so users outside the realm of data ...

Using artificial intelligence, researchers show how γ-secretase recognizes substrates - an important advance for fundamental ...

Employing explainable AI-driven drug discovery can be powerful in providing a computationally efficient way to down-sample chemical space. Instead of discovering one-off chemical hits, explainable ...