重庆科技大学学报（社会科学版）Issue(6)：114-124,11.DOI:10.19406/j.issn.2097-4523.2025.06.010
生成式人工智能社会角色分析及其调适路径优化研究
Analysis and Optimization Path of Social Roles in Generative Artificial Intelligence
摘要
Abstract
An"anthropomorphic"trait makes it possible for generative artificial intelligence to be assigned some social roles.Taking"social role-role expectation"or"role-responsibility"as the main analysis line,it systematically analyzes the advantages and disadvantages of generative artificial intelligence in social roles,and then clarifies its technical ethical responsibilities.Based on the triple social roles that generative artificial intelligence may play,namely cognitive enhancement agent,pseudo-social companion,and co-creation collaborator,an in-depth analysis is conducted on the deconstruction crises faced when undertaking social roles,including limitations of physical absence perception,trap of technological mediocrity,algorithmic inducement of bad friends,and risk of responsibility fragmentation,etc.To meet the role expectations and assume corresponding responsibilities,it is necessary to make role adjustment from multiple dimensions such as compensation mechanism of embodied technology,complementary and collaborative human-machine cognition,reliable anchoring of illusion governance,and guardianship and proxy of rights and responsibilities attribution.Based on this,it further reflects on whether the idea of setting social roles for generative artificial intelligence is feasible and potential concerns that may arise from its integration into human society.关键词
生成式人工智能/人机交互/社会角色/拟人化/优化路径Key words
generative artificial intelligence/human-computer interaction/social role/anthropomorphic/optimization path分类
社会科学引用本文复制引用
CUI Mudan,Rao Xupeng..生成式人工智能社会角色分析及其调适路径优化研究[J].重庆科技大学学报（社会科学版）,2025,(6):114-124,11.基金项目
教育部人文社会科学项目"新时代推进大中小学思政课一体化建设对策研究"(21XJA710004) （21XJA710004）
甘肃省教育厅研究生"创新之星"项目"生成式人工智能赋能思想政治教育高质量发展研究"(2025CXZX-590). （2025CXZX-590）
