AI 中文总结
本研究通过分析1,143条美国隐私岗位招聘信息，发现隐私岗位为法律、技术与人际能力混合型，AI治理职责多嵌入现有岗位，推动混合职位兴起。
AI 中文摘要
隐私保护现已涵盖法律、技术和管理职责，各行业对隐私专业人才的需求日益增长。然而，关于雇主如何界定这些角色，目前知之甚少。我们分析了来自LinkedIn和Indeed的1,143条美国隐私岗位招聘信息。通过基于规则的文本挖掘，我们考察了职位名称、薪资、能力、认证、教育背景、经验、法规引用及与人工智能相关的语言。我们还对相同的招聘信息应用了主题建模（BERTopic），识别出18个潜在主题，并将其归为四类。我们的研究结果表明，隐私岗位具有混合性质，它们结合了法律知识、技术技能和人际交往能力。人工智能出现在超过半数的招聘信息中，AI相关语言分布于合规、法律、治理和安全等主题。我们的研究表明，AI治理职责往往嵌入现有的隐私岗位中，这促进了混合职位以及专门的AI治理岗位的兴起。
英文摘要
Privacy protection now spans legal, technical, and managerial duties, and demand for privacy professionals is growing across sectors. However, little is known about how employers define these roles. We analyze 1,143 U.S. privacy job postings from LinkedIn and Indeed. We examine job titles, salaries, competencies, certifications, education, experience, regulatory references, and AI-related language by using rule-based text mining. We also apply Topic Modeling (BERTopic) to the same postings and identify 18 latent themes which we grouped them into four categories. Our findings show that privacy roles are hybrid and they combine legal knowledge, technical skills, and interpersonal competence. Artificial intelligence appears in more than half of postings, with AI language spread across compliance, legal, governance and security themes. Our research indicates that AI governance responsibilities are often embedded within existing privacy roles, contributing to the rise of hybrid positions alongside dedicated AI governance roles.
Comments42 pages, 8 figures, 4 tables
