Researchers, practitioners, and policymakers with an interest in AI ethics need more integrative approaches for studying and intervening in AI systems across many contexts and scales of activity. This paper presents AI value chains as an integrative concept that satisfies that need. To more clearly theorize AI value chains and conceptually distinguish them from supply chains, we review theories of value chains and AI value chains from the strategic management, service science, economic geography, industry, government, and applied research literature. We then conduct an integrative review of a sample of 67 sources that cover the ethical concerns implicated in AI value chains. Building upon the findings of our integrative review, we recommend four future directions that researchers, practitioners, and policymakers can take to advance more ethical practices of AI development and use across AI value chains. Our review and recommendations contribute to the advancement of research agendas, industrial agendas, and policy agendas that seek to study and intervene in the ethics of AI value chains.

翻译：关注人工智能伦理的研究者、从业者及政策制定者需要更具整合性的方法，以便跨越多重情境与活动规模研究并干预人工智能系统。本文提出将人工智能价值链作为满足这一需求的整合性概念。为更清晰地理论化人工智能价值链，并在概念上将其与供应链区分开来，我们系统梳理了战略管理、服务科学、经济地理学、产业界、政府及应用研究文献中的价值链与人工智能价值链理论。随后，我们对涵盖人工智能价值链伦理关切的67篇文献样本进行了整合性评述。基于评述发现，我们建议研究者、从业者及政策制定者可从四个未来方向着手，推动人工智能价值链中开发与使用环节的伦理实践。本文的评述与建议有助于推进旨在研究并干预人工智能价值链伦理的研究议程、产业议程与政策议程。