反思性AI参与中技能维持依赖的开放问题

中文摘要 AI 辅助

随着AI系统日益融入专业工作，认知强制和促进批判性参与的提示等反思策略在减少过度依赖和提高决策质量方面显示出潜力。然而，这些策略主要作为单次会话中的短期干预进行评估。下一个挑战是评估此类机制是否能长期维持人类能动性和专业知识。借鉴AI辅助决策、元认知和反思性AI参与的先前工作，我们审视了设计和评估用于长期技能可持续性的反思机制所面临的挑战，考虑了用户参与此类支持方式的个体差异、实施该机制的组织条件，以及短期证据与长期主张之间的差距。我们为研究社区引入关于反思性AI参与在实践中能否持续维持的条件的开放问题。

英文摘要

As AI systems are increasingly integrated into professional work, reflection strategies such as cognitive forcing and prompts that foster critical engagement have shown promise in reducing overreliance and improving decision quality. However, these strategies have primarily been evaluated as short-term interventions within single sessions. The next challenge is to assess whether such mechanisms sustain human agency and expertise over time. Drawing on prior work in AI-assisted decision-making, metacognition, and reflective AI engagement, we examine the challenges of designing and evaluating reflective mechanisms for long-term skill sustainability, considering individual differences in how users engage with such support, the organisational conditions under which it is implemented, and the gap between short-term evidence and long-term claims. We introduce open questions for the research community about the conditions under which reflective AI engagement can be sustained in practice.

发表机构

• Aalborg University（奥尔堡大学）

机构由 AI 辅助整理，请以论文原文为准。