Explainable AI (XAI)
摘要
The new generation of AIArtificial Intelligence (AI) technology should enable creation of explainable systems that usersUser can understand. Although the behaviour and thus the output of AI systems might be affected by various factors, such as algorithms, architecture, training, and data, the ultimate goal is to guarantee a transparent and human-centred approach. In this respect, the characteristics as emerging hereby to be crucial in chatbotChatbot efficiency and agency should be applied to lifting AIArtificial Intelligence (AI) capacity. The present chapter further discusses the continuous improvement of explainable AI (XAI)Explainable AI (XAI) and the possibility of enhancing software testing approaches. It is important to manage machine behaviour so that human–computer interaction (HCI) design is delivered through informed human-centred solutions. The distinctive constellation of cognitive, emotional, and social aspects suggested by the current work is a prerequisite for providing the desired human–AI interaction. Moreover, offering the right unique selling points (USPs)Unique Selling Point (USP) will facilitate the design of experienceExperience bringing customers to a journey beyond the traditional market space in extraordinary life activities.