USE CASE

Discovering the dimensions of Explainable Artificial Intelligence (xAI)

The dimensions of Explainable Artificial Intelligence (xAI)

Are we moving towards an Explainable Artificial Intelligence?

As we gain in predictive accuracy through the use of complex models we lose the ability to explain both the variables and the results. But there is no future if decisions cannot be explained and understood.

In highly regulated industries, such as finance, insurance, telcos, health, pharmaceuticals… the black box model can be very problematic because there is no transparency about why decisions are being made.

Interpretability is increasingly essential within Artificial Intelligence. This paper will look at the different methods and approaches to achieving interpretable or, at least, explainable models. 

xAI can have a great impact on companies that are starting their journey towards AI, and even be fundamental to deepen the application of AI in companies experienced with more complex models, covering horizons not previously reached.

Get the Use Case

Take a deeper look by reading the full use case. Fill out this short form and we will send you by email the full use case.

If you do not receive the email, please check your folder for Spam or Unsolicited emails to see if our email is there.

    * Required fields

    Use cases

    We are a value-based company that believes in sharing, collaboration and respect. We are passionate about open source, forefront technology, communities and technical knowledge. Working with us means working in a caring and open environment.