华侨大学学报（哲学社会科学版）Issue(3)：15-22,31,9.
算法推荐赋能道德教育的价值、风险及治理
The Value,Risks,and Governance of Algorithm Recommendations Enabling Moral Education
摘要
Abstract
Algorithm recommendation is an important technical means for content dissemination in the context of artificial intelligence.It can effectively improve the permeability of the content,the subjectivity of the educated,and the affinity of the dissemination,demonstrating the strong moral education value.At the same time,it should be noted that algorithm rec-ommendations may lead to risk problems such as narrow moral cognition,moral-emotional alienation,weakened moral will,and concealment of moral behavior when applied to moral education,thus resulting in negative effects.In view of this,starting from the fundamental task of cultivating moral character and cultivating people,the application of algorithm recom-mendation technology in the field of moral education should always be kept within a reasonable limit.Algorithm optimization should be used to promote the dissemination of diverse content,and human-machine collaboration should be used to en-hance virtual network care,system thinking should guide correct value orientation,and moral constraints should be used to achieve a balance between self-discipline and hetero-discipline,so that intelligent technology can better empower behav-iour guidance and character building in moral education.关键词
算法推荐/道德教育/道德风险Key words
algorithm recommendation/moral education/moral risk分类
社会科学引用本文复制引用
操菊华,许新茹..算法推荐赋能道德教育的价值、风险及治理[J].华侨大学学报（哲学社会科学版）,2024,(3):15-22,31,9.基金项目
国家社会科学基金高校思政课研究专项"人工智能背景下思想政治理论课教学精准化的路径研究"(21VSZ121) （21VSZ121）
湖北省社会科学基金前期资助项目"人工智能对青年道德发展的影响研究(23ZD102) （23ZD102）
武汉工程大学研究生教育创新基金项目"思想政治教育视域下算法推荐的价值意蕴、道德风险与治理路径"(CX2023450) （CX2023450）
