“Explainability” is the process of explaining why an ML model behaved in a certain way, such as approving or declining a bank loan.
By Steven Astorino, Mark Simmonds, and Jean-François Puget
Editor's Note: This article is excerpted from chapter 3 of Artificial Intelligence: Evolution and Revolution
Customers are trying to use AI as a catalyst to reimagine their workflows, transforming how customer call centers operate, how people complete their taxes, and how legal professionals make data-privacy compliance decisions. However, many organizations still continue to struggle in deploying their AI into production environments across their existing applications.