EXPLAINABLE AI(XAI)
EXPLAINABLE AI(XAI) A novel method for creating machine learning models that people can understand is called Explainable AI (XAI). Among the advantages of XAI are: Enhanced responsibility for choices made by automatic systems Increased openness and confidence in AI systems Lower risk of prejudice in decision-making. The practice of Explainable AI (XAI): A comparatively new area of study called Explainable AI (XAI) seeks to offer insight into how computers make decisions. Human-readable explanations that are autonomously produced from the computer's internal model can be used to accomplish this.\ Applications for XAI are numerous and include everything from production and public safety to healthcare, money, and insurance. For instance: With the assistance of XAI, doctors could identify illnesses more precisely or anticipate patient outcomes with greater certainty than they are currently able to, enabling them to choose the best course of therapy for their patients...