In order for Artificial Intelligence (AI) and Machine Learning (ML) to be useful, it must be trusted. And in order for it to be trusted, there needs to be a way to understand how decisions are being made by intelligence machines. The challenge is that some of the technologies being adopted for AI are not transparent and therefore not trustworthy. What do we need to make AI systems explainable and therefore reliable? This infographic, sponsored by simMachines, explains the details of what Explainable AI (XAI) is all about, what problems it addresses, and some use cases of XAI in practice.
Infographic PDF. Source: Copyright © Cognilytica LLC

Free Download

Recent Market Intelligence

Login Or Register


Login to register for events. Don’t have an account? Just register for an event and an account will be created for you!