In order to understand why businesses need explainable AI, and how to deliver it, we must first understand what explainable AI is. Explainable AI is defined as a subset of AI that deals with providing explanations for the results of an AI system.
There are several reasons why businesses need explainable AI. First, it allows businesses to build trust with their customers. Second, it helps businesses ensure that their AI systems are making decisions that are aligned with their business goals. Finally, it can help businesses avoid regulatory penalties and legal liabilities.
To deliver explainable AI, businesses need to use data visualization techniques and natural language processing algorithms. Data visualization techniques allow businesses to provide clear and concise explanations of the results of their AI system in a way that is easy for humans to understand. Natural language processing algorithms can be used to generate written explanations of the results of an AI system
