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AI赋能人力资源管理—找到企业内第一块AI“试验田”
智享会· 2026-01-28 04:35
赋能人力资源管理 找到企业内第一块AI"试验田" 调研主办方 联合主办方 AI Empowering Human Resource Management: Finding the First AI Pilot Project Within Your Enterprise $HI&' A%7I40R 首席顾问 雷大伟 数字生态事业部总经理 北京外企德科人力资源服务上海有限公司 A%7I40R (R061 专家顾问 特别鸣谢,感谢以下调研团顾问成员在本次调研及案例采访过程中提出的宝贵建议。排名不分先后。 人事共享中心负责人 绿城中国控股有限公司 《进化:AI 时代 HR 的价值突围》作者 蒋越玥 创新与数字化方案售前中心总监 北京外企德科人力资源服务上海有限公司 招聘经理 敏实集团 赵鑫 中国电信 AI+ 学习产品总监 中国电信集团有限公司 薛扬 人力资源共享中心负责人 一汽 - 大众汽车有限公司 41&$IA- (6I%A/$& 特别指导 宋菲菲 副总经理 北京国际人力资本集团股份有限公司 党委书记、董事长、总经理 北京外企德科人力资源服务上海有限公司 A65H0R 作 者 方麻迪 MAY FANG may.f ...
AI内容要强制标识!实测31个政务AI,近七成尚未打标
Nan Fang Du Shi Bao· 2025-05-21 04:20
Core Viewpoint - The article discusses the implementation of explicit labeling for AI-generated content in government services in Guangdong Province, highlighting the need for transparency and user awareness in AI interactions [2][6][16]. Group 1: Digital Government Efficiency - The Southern Metropolis Big Data Research Institute launched a "Digital Government Efficiency Micro-Record" column to address blind spots and difficulties in government services for enterprises and the public [2]. - The initiative aims to enhance communication between service departments and users, focusing on specific government service items and methods [2]. Group 2: AI Content Labeling Regulations - A new regulation titled "Artificial Intelligence Generated Content Labeling Method" will take effect on September 1, 2025, requiring explicit labeling of AI-generated content [2][6]. - The regulation mandates that AI-generated content must include clear indicators that inform users about the nature of the content, either through explicit or implicit labeling [6][16]. Group 3: Current Status of AI Labeling in Guangdong - Among 31 AI government service applications in Guangdong, only 10 have explicit labels indicating that the content is AI-generated [6][7]. - Examples of AI services with explicit labeling include "Xiao Yu AI" and "Huangpu Government Intelligent Body," while many others lack clear indicators [9][11]. Group 4: Observations and Recommendations - Observations reveal that some government AI interfaces hide labeling information within disclaimers or user agreements, which does not meet the strict definition of explicit labeling [15][16]. - Experts recommend that clear labeling should be prominently displayed in AI-generated content interfaces to enhance user awareness and trust [16].