设计跨学科AI治理课程，培养懂技术、守伦理、会监管的复合型人才。
AI Governance in Higher Education: A course design exploring regulatory, ethical and practical considerations
- 构建模块化课程框架，融合技术、伦理与政策教学。
- 聚焦偏见、目标错位等五大典型失败，对应设计教学策略。
- 适合高校教师、政策制定者及科技企业治理人员参考。
随着人工智能系统渗透关键领域，具备应对伦理、法律与治理挑战的专业人才需求日益迫切。当前AI伦理教育仍呈碎片化，常局限于单一学科且脱离实践。本文综合文献与监管发展，提出一种模块化、跨学科课程设计，将技术基础与伦理、法律、政策相融合。文中指出人工智能常见的五类运营失败——偏见、目标设定错误、泛化误差、滥用及治理失效，并将其与教学策略相对应。结合欧盟、中国及国际框架视角，设计了一套以学期为单位的教学计划，强调伦理整合、利益相关方参与和实践学习。该课程旨在培养学生识别风险、应对监管、协调多方的能力，培育适应性强、伦理意识强的AI治理专业人才。
原文摘要 · Abstract (English)
As artificial intelligence (AI) systems permeate critical sectors, the need for professionals who can address ethical, legal and governance challenges has become urgent. Current AI ethics education remains fragmented, often siloed by discipline and disconnected from practice. This paper synthesizes literature and regulatory developments to propose a modular, interdisciplinary curriculum that integrates technical foundations with ethics, law and policy. We highlight recurring operational failures in AI - bias, misspecified objectives, generalization errors, misuse and governance breakdowns - and link them to pedagogical strategies for teaching AI governance. Drawing on perspectives from the EU, China and international frameworks, we outline a semester plan that emphasizes integrated ethics, stakeholder engagement and experiential learning. The curriculum aims to prepare students to diagnose risks, navigate regulation and engage diverse stakeholders, fostering adaptive and ethically grounded professionals for responsible AI governance.
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