Artificial Intelligence (AI) is gathering strength, now more than ever. With new applications appearing in the arena, and a forecasted CAGR greater than 40% for the upcoming years, the expectations for AI are exciting. However, algorithms powered by AI are usually difficult to understand for companies as they lack transparency and explicability. The surprising fact is the little action taken in the field to stop the opacity of the models. Hoping for a more transparent and trustworthy AI, a new field has appeared: Explainable AI (XAI).

EXPAI has joined the XAI movement, helping companies and the overall the society to gain a better understanding and greater control of the decisions made by AI . Focusing efforts in attacking both major risks associated to this technology: lack of model understanding and bias generation.

Due to AI’s opacity and difficult model understanding, decision makers might be led to take untrustworthy or suboptimal decisions. Low AI adoption, damaged stakeholder trust or difficult transfer of knowledge inside the firm, are just few of the consequences.

Bias generation is another big issue. When the training data used has implied biases, creating a discriminatory model is as easy as it gets. That is why many examples from companies using discriminatory algorithms without them even realizing, come up on a regular basis.

Thanks to Explainable AI, the outputs provided by models can be fully transparent to everyone. Therefore, making sure that your company is not creating discriminatory procedures and basing your decisions in trusted outputs is now a reality.

In a nutshell, in EXPAI will help your company increase trust and efficiency derived from AI, which will positively impact your bottom line.