探讨友好AI的伦理与应用，推动更公平的人工智能发展
Towards Friendly AI: A Comprehensive Review and New Perspectives on Human-AI Alignment
- 系统梳理友好AI的正反理论观点，给出清晰定义
- 涵盖可解释性、隐私、公平性与情感计算等应用场景
- 指出技术挑战并提出未来研究方向，适合伦理与政策研究者
随着人工智能快速发展，友好AI（FAI）被提出以倡导更公平、公正的发展。尽管其重要性突出，但现有研究缺乏从伦理角度对FAI的全面综述，且对其应用前景与未来方向讨论有限。本文填补这一空白，系统回顾了支持与反对发展FAI的理论观点，提出清晰易懂的正式定义。从可解释人工智能（XAI）、隐私保护、公平性及情感计算（AC）视角，探讨关键应用场景。同时分析当前技术进展中的挑战，展望未来研究路径。研究强调发展友好AI的重要性，呼吁持续推进以保障人工智能的伦理化与有益化发展。
原文摘要 · Abstract (English)
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.
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