Educating Leaders for the Age of Artificial Intelligence: A Developmental Framework for Human–AI Leadership Learning and Trust Calibration

This study introduces the Human–AI Leadership Learning Framework (HAILLF), a four-phase developmental model for leadership education in AI-mediated organizational contexts. Combining systematic conceptual synthesis with Social Media Listening (SML) via VADER sentiment analysis of 80 Reddit posts (March 2026), the study empirically validates the framework through real-world discourse analysis across four themes: AI Decision Trust (60.0% positive, avg +0.1744), AI Leadership Anxiety (60.0% negative, avg −0.2230), AI Ethics Workplace (40.0% positive, avg +0.0614), and AI Replacing Managers (45.0% neutral, avg −0.0435). HAILLF proposes four developmental phases — Awareness, Interaction, Integration, and Co-Learning — grounded in socio-technical systems theory, experiential learning, and trust calibration research.本研究提出人机协同领导力学习框架（Human–AI Leadership Learning Framework，HAILLF），该框架是面向人工智能赋能组织场景下领导力教育的四阶段发展模型。本研究结合系统概念综合方法与社交媒体聆听（Social Media Listening，SML）技术，对2026年3月发布的80条Reddit帖子开展VADER情感分析，并通过覆盖四大主题的现实话语分析对该框架进行实证验证：人工智能决策信任（正向情感占比60.0%，平均情感值为+0.1744）、人工智能领导力焦虑（负向情感占比60.0%，平均情感值为−0.2230）、人工智能职场伦理（正向情感占比40.0%，平均情感值为+0.0614）以及人工智能取代管理者（中性情感占比45.0%，平均情感值为−0.0435）。HAILLF提出四大发展阶段——认知觉醒、交互协作、融合整合与协同学习，其理论根基涵盖社会技术系统理论、体验式学习理论以及信任校准相关研究。