InfoQ 研讨会：生产环境 AI 的失效、有效与审批问题
原标题：AI in Production: What Breaks, What Works, and Who Approves It? | InfoQ Webinar
AI 摘要
InfoQ 将于 2026 年 10 月 14 日举办免费线上研讨会「AI in Production: What Breaks, What Works, and Who Approves It?」，由 Hien Luu 主持，邀请 Katharine Jarmul、Zichuan Xiong、Premanand Chandrasekaran、Lan Chu 五位从业者参与。讨论聚焦生产环境中 AI 系统的代理自主权、验证、数据暴露、生产级 RAG 平台以及内部推动更强管控等议题。注册者可获得回放。
正文节选
Once an AI system can retrieve internal documents, generate production code, or take independent actions through tools, the engineering challenges and associated risks increase. Teams need to know what the system accessed, which actions it was permitted to take, how its output was verified, and who remains accountable when it fails. Those questions become harder in production. Coding agents move beyond an individual developer's machine and into CI. RAG pipelines encounter sensitive or outdated d