AI助力HR,效率提升靠谱吗?HR工作,哪些痛点能解决?

2025-10-18 11:00:18 作者:Vali编辑部
以下是针对您提供的链接列表的分类整理和简要说明,方便快速查找相关内容: --- ### **AI在人力资源管理中的应用** 1. **招聘与人才管理** - [85] General-purpose LLMs fall short in fair, accurate hiring — here's what to use instead - Eightfold AI *探讨通用大模型在招聘中的局限性,推荐更精准的AI工具* - [50] How is artificial intelligence being integrated into Succession ... *AI在继任计划中的整合方式* - [51] How can AI help in predicting employee turnover and improving retention strategies? *AI预测员工流失与提升保留策略* 2. **绩效评估与反馈** - [66] What are the ethical considerations of using AI in employee performance evaluation? *AI在绩效评估中的伦理考量* - [69] 27 Positive Employee Feedback Examples & How to Use Them - Leapsome *AI驱动的积极反馈示例* - [70] 心理学影响:连续反馈工具对员工表现与参与度的影响 *研究AI连续反馈工具的心理学效应* 3. **组织设计与团队管理** - [71] Trends in organizational design: embracing agility, flexibility, and technology in enterprise workplace - Nakisa *组织设计趋势:敏捷性与技术应用* - [72] AI Isn't Just Data Science, It's Organizational Design *AI不仅是数据科学,更是组织设计* - [61] 五大成功团队动态与应用 *Google Project Aristotle团队成功要素* 4. **AI工具与平台** - [82] Talent Intelligence Platform. AI for HR | Eightfold.ai *Eightfold AI的人才智能平台* - [83] Talent Intelligence Platform - AI powered recruitment platform | Eightfold *AI驱动的招聘平台* - [88] AI in HR | Galileo Learn *Galileo Learn的AI在HR中的应用* 5. **AI伦理与挑战** - [67] AI协作对反生产行为的影响:领导者情感支持作为调节变量 *AI协作对员工行为的影响研究* - [90] AI Liability Insurance: The Next Step in Safeguarding Businesses from AI Failures *AI责任保险:应对AI失败的新步骤* --- ### **关键资源** - **权威机构** - [92] Agentic AI Is Already Changing the Workforce | Harvard Business Review - BrianHeger.com *哈佛商业评论:代理AI如何改变劳动力* - [73] Why AI Demands a New Breed of Leaders - MIT Sloan Management Review *MIT斯隆管理评论:AI需要新一代领导者* - **案例与实践** - [75] Customer stories | Gloat *Gloat的客户案例* - [77] Driving adoption of Microsoft Viva at Microsoft: Lessons learned - Inside Track Blog *微软Viva工具的采用经验* - **技术与工具** - [89] Microsoft's AI Journey in HR | All in on AI - YouTube *微软HR中的AI发展之路* - [80] The impact of AI in data privacy protection - Lumenalta *AI在数据隐私保护中的作用* --- ### **需验证的链接** - [64] 与[63]内容相似,可能重复 - [69] 与[68]均为反馈示例,需确认是否重复 - [64]、[79]访问时间为1970年1月1日,可能是错误,建议检查链接有效性 --- ### **总结** 此列表涵盖AI在招聘、绩效评估、组织设计、伦理及工具应用等领域的资源,适合用于研究或实践参考。建议优先查看哈佛商业评论、MIT Sloan、Eightfold AI等权威来源,并注意重复链接的验证。