组织如何应对智能体式AI的伦理挑战，影响其落地成效与回报。
Perceptions of Agentic AI in Organizations: Implications for Responsible AI and ROI
- 通过调研一线AI从业者，分析组织对自主智能体的认知与应对策略。
- 发现知识缺口和重控制轻参与，阻碍负责任AI落地与投资回报实现。
- 适合关注AI治理、企业落地与伦理实践的研究者与管理者阅读。
随着人工智能系统自主性快速提升，建立稳健的负责任AI框架变得至关重要。本文采用解释性定性方法，探究人工智能专业人员在日益复杂的自主智能体（agentic AI）背景下对责任框架的感知与适应情况。研究发现，智能体系统的内在复杂性及其负责任实施的挑战——源于负责任AI各维度的内在关联及从数据中提炼出的主题分析框架——与智能体技术的新颖性共同导致组织适应困难。具体表现为知识空白、对利益相关方参与重视不足，以及过度强调控制。这些因素阻碍了有效适应与实施，最终削弱了负责任AI的实现潜力与投资回报（ROI）的达成。
原文摘要 · Abstract (English)
As artificial intelligence (AI) systems rapidly gain autonomy, the need for robust responsible AI frameworks becomes paramount. This paper investigates how organizations perceive and adapt such frameworks amidst the emerging landscape of increasingly sophisticated agentic AI. Employing an interpretive qualitative approach, the study explores the lived experiences of AI professionals. Findings highlight that the inherent complexity of agentic AI systems and their responsible implementation, rooted in the intricate interconnectedness of responsible AI dimensions and the thematic framework (an analytical structure developed from the data), combined with the novelty of agentic AI, contribute to significant challenges in organizational adaptation, characterized by knowledge gaps, a limited emphasis on stakeholder engagement, and a strong focus on control. These factors, by hindering effective adaptation and implementation, ultimately compromise the potential for responsible AI and the realization of ROI.
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