AI招聘系统综述：从匹配模型到招聘代理的评估与治理
原标题：From Matching Models to Recruiting Agents: A Systematized Narrative Review of AI Recruitment Systems, Evaluation, and Governance
AI 摘要
这篇系统化综述梳理了AI招聘系统从匹配模型到智能招聘代理的演变，分析了从相似性匹配到互惠适配、从单一模型到复合工作流、从离线预测到证据与生产力对齐评估的三重转变。综述指出当前评估存在行为标签混淆、数据外部有效性有限、最终输出掩盖流程失败等问题，并提出分阶段映射评估证据与可辩护结论的框架，强调未来系统应具备证据基础、可审计性和成本风险约束。
正文节选
From Matching Models to Recruiting Agents: A Systematized Narrative Review of AI Recruitment Systems, Evaluation, and Governance Abstract Artificial intelligence in recruitment has shifted the object being automated from profile pairs and ranked lists to multi-stage workflows that retrieve evidence, compare candidates, and support or execute actions. This systematized narrative review traces that development from bilateral retrieval and behavioral ranking through neural person–job matching, larg