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.

本研究解决了友好人工智能（FAI）在伦理视角下缺乏全面评审的问题，并探讨其潜在应用及未来方向。论文提出了FAI的正式定义，讨论了可解释人工智能、隐私、公平性和情感计算等关键应用，强调了继续推动FAI发展的重要性，以确保人工智能的伦理和有益发展。

迈向友好人工智能：人机对齐的全面评审与新视角