Efforts toward increasing user acceptance of AI/ML systems using XAI
In this section, we will discuss some recommended practices to increase the acceptance of AI/ML systems using XAI. In most software systems, the User Acceptance Testing (UAT) phase is used to determine the go or no-go for software. Similarly, before the final production phase, more and more organizations prefer doing a robust UAT process for AI/ML systems. But how important is the explainability of AI algorithms, when doing UAT of AI/ML systems? Can explainability increase the user acceptance of AI? The short answer is yes! Let's go through the following points to understand why:
- User acceptance is a testimony of the user's trust – Since XAI can increase the user's trust in AI, it increases the chance of the user's acceptance of the solution. Now, trust is something that cannot just be established during the UAT phase; rather, trust should be established from the beginning and maintained...