面向负责任创新的人工智能专业人才伦理素养培养体系研究

Research on an Ethical Competence Development System for AI Professionals Committed to Responsible Innovation

摘要: 人工智能在高风险领域应用引发的伦理挑战，凸显专业人才“伦理素养”与“技术能力”融合培养的紧迫性。针对高校人工智能专业教育“重术轻道”、伦理与技术培养割裂的症结，本研究通过文献分析与对北京市建筑类高校师生调研，系统诊断现有教育模式在体系性、实践性、评价机制及师资支撑方面的结构性缺陷，创新性提出“三维四柱”一体化培养模型，通过“目标–内容–方法”三维教学框架与“资源–师资–平台–评价”四维支撑系统的深度耦合，构建递进式伦理素养培养路径。以《机器学习》课程“算法公平性”单元为例，设计融合教学方案实现伦理原则向技术实践的转化。研究为人工智能专业伦理教育系统化改革提供了兼具理论创新性与实践可操作性的解决方案，其核心目标是培育兼具技术能力与伦理自觉的“负责任人工智能架构师”，为人工智能技术的健康发展筑牢人才基础。

Abstract: The ethical challenges arising from artificial intelligence applications in high-risk domains underscore the urgency of integrating ethical literacy with technical proficiency in professional training. Addressing the core issues within university AI education—namely an overemphasis on technical skills at the expense of ethical principles, coupled with a disconnect between ethical and technical cultivation—this study employs literature analysis and surveys of faculty and students at Beijing-based architecture universities to systematically diagnose structural deficiencies in existing educational models concerning systemic coherence, practical application, assessment mechanisms, and faculty support. It innovatively proposes a “three-dimensional, four-pillar” integrated cultivation model. This model establishes a progressive ethical literacy development pathway through the deep integration of a “goal-content-method” three-dimensional teaching framework with a “resources-faculty-platform-evaluation” four-dimensional support system. Taking the “Algorithmic Fairness” module within the Machine Learning course as a case study, an integrated teaching scheme is designed to translate ethical principles into technical practice. This research offers a solution for the systematic reform of ethics education in artificial intelligence programmes, combining theoretical innovation with practical applicability. Its core objective is to cultivate “Responsible AI Architects” who possess both technical competence and ethical awareness, thereby laying a robust talent foundation for the healthy development of artificial intelligence technology.