As Artificial Intelligence (AI) continues to advance rapidly, Friendly AI (FAI) has been proposed to advocate for more equitable and fair development of AI. Despite its importance, there is a lack of comprehensive reviews examining FAI from an ethical perspective, as well as limited discussion on its potential applications and future directions. This paper addresses these gaps by providing a thorough review of FAI, focusing on theoretical perspectives both for and against its development, and presenting a formal definition in a clear and accessible format. Key applications are discussed from the perspectives of eXplainable AI (XAI), privacy, fairness and affective computing (AC). Additionally, the paper identifies challenges in current technological advancements and explores future research avenues. The findings emphasise the significance of developing FAI and advocate for its continued advancement to ensure ethical and beneficial AI development.

翻译：随着人工智能（AI）的快速发展，友好人工智能（FAI）被提出以倡导更公平、公正的AI发展。尽管其重要性日益凸显，目前仍缺乏从伦理视角对FAI进行全面综述的研究，对其潜在应用和未来方向的探讨也较为有限。本文通过系统梳理FAI的相关研究，重点关注支持与反对其发展的理论观点，并以清晰易懂的形式提出正式定义，从而填补上述空白。本文从可解释人工智能（XAI）、隐私保护、公平性及情感计算（AC）等角度探讨了FAI的关键应用场景。此外，文章分析了当前技术发展面临的挑战，并展望了未来研究方向。研究结果强调了发展FAI的重要意义，并倡导持续推进其发展，以确保人工智能技术符合伦理并造福社会。