With Xai, potentially billions of traditional gamers can own and trade valuable in-game items in their favorite games for the first time, without the need to use crypto-wallets.
FUTIRE OF XAI
The eXplainable AI obviously represents a new frontier of artificial intelligencethat is gaining increasing importance and attention. Creating machine learning models that are explainable and transparent can help improve user confidence in AI and identify and correct any bias or distortions in training data. XAI aims to create a suite of machine learning techniques that produce more explainable models, while maintaining a high level of learning performance (prediction accuracy). The overall goal of XAI is to advance human understanding of artificial systems in order to satisfy a given desideratum. XAI techniques will be developed to provide deeper and more comprehensive explanations. The ultimate goal is to create a future where AI and humans can work together seamlessly, with humans understanding and trusting the decision-making processes of AI system.
Thus, the explicability of Artificial Intelligences (XAI) has become one of the challenges of Machine Learning and is now an integral part of the job of Data Scientists, who are called upon to convince users of the acceptability of their models' reasoning.