• msm259

The Value of Explainable AI (XAI) in Financial Services

Published on 06/10/2020

By Alexei Markovits, AI Team Manager, Element AI

The world around us is constantly changing due to ground-breaking advances in artificial intelligence (AI). AI systems are being used to buy and sell millions of financial instruments, assessing insurance claims, assigning credit scores and optimising investment portfolios. Along with these advancements, we also need a framework for understanding how AI arrives at its findings and suggestions, in order to build trust to use them to their full potential.

The processes behind how modern AI works isn’t always obvious. Many of today’s advanced machine learning algorithms that power AI systems are inspired by the processes of the human brain, but are limited by their lack of human ability to explain actions or reasoning.

With this in mind, an entire research field is now working towards describing the rationale behind AI decision-making: Explainable AI (XAI). While modern AI systems demonstrate performance and capabilities far beyond previous technologies, practicality and legal compliance present hurdles to successful implementation.


0 views0 comments

In Mática we want and we can help you to improve your decision making process, thanks to the transformation and the interpretation of your business data using Big Data technologies and Artificial Intelligence.

Contact us and find out how we can help you

we help to solve great impact and complex problems using data, technology and artificial intelligence in a responsible way.

Mática Barcelona

Av de Roma 13 Esc B Entr 2º 

08029 Barcelona

Spain (Europe)

Mática Madrid

Calle Miguel Yuste 33B 

28037 Madrid

Spain (Europe)

  • LinkedIn - Círculo Negro
  • YouTube - Círculo Negro
  • Twitter - Círculo Negro

copyright © 2020 Mática Partners SL - All rights reserved