Stakeholder roles in artificial intelligence projects

Gloria J. Miller
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引用次数: 2

Abstract

Algorithmic decision-making implemented through artificial intelligence (AI) projects is augmenting or replacing human decision-making across numerous industries. Although AI systems may impact individuals and society in life-and-death situations, project organizations or plans may ignore the concerns of the passive stakeholders. This research describes the components, lifecycle, and characteristics of AI projects. It employs stakeholder theory and a systematic literature review with thematic analysis to identify and classify individuals, groups, and organizations into six stakeholder project roles. It configures the stakeholder salience model with a harm attribute to identify passive stakeholders—individuals affected by AI systems but powerless to affect the project—and their nexus to the project. The study contributes a novel method for identifying passive stakeholders and highlights the need to engage developers, operators, and representatives of passive stakeholders to achieve moral, ethical, and sustainable development.

人工智能项目中的利益相关者角色
通过人工智能(AI)项目实施的算法决策正在许多行业中增强或取代人类决策。尽管人工智能系统可能会在生死攸关的情况下影响个人和社会,但项目组织或计划可能会忽视被动利益相关者的担忧。本研究描述了人工智能项目的组成、生命周期和特征。它采用利益相关者理论和系统的文献综述与专题分析,以识别和分类个人,团体和组织为六个利益相关者项目角色。它为利益相关者显著性模型配置了一个危害属性,以识别被动的利益相关者——受人工智能系统影响但无力影响项目的个人——以及他们与项目的关系。该研究提供了一种识别被动利益相关者的新方法,并强调了开发商、运营商和被动利益相关者代表参与实现道德、伦理和可持续发展的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
6.70
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