通过对事件进行编目来防止重复的现实世界AI故障：AI事件数据库
Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database
摘要：
成熟的工业部门（例如，航空）在事故数据库中收集他们的真实世界故障，以告知安全改进。目前，智能系统在没有集体记忆的情况下造成了现实世界的伤害。因此，公司在设计、开发和部署智能系统时一再犯同样的错误。在现实世界中经历的智能系统故障的集合（即，事件），以确保智能系统造福人类和社会。AI事件数据库是由工业/非营利合作组织发起的事件收集，旨在避免和缓解AI事件。该数据库支持各种研究和开发用例，对迄今为止存档的1，000多份事件报告进行分面和全文搜索。
英文摘要：
Mature industrial sectors (e.g., aviation) collect their real world failures in incident databases to inform safety improvements. Intelligent systems currently cause real world harms without a collective memory of their failings. As a result, companies repeatedly make the same mistakes in the design, development, and deployment of intelligent systems. A collection of intelligent system failures experienced in the real world (i.e., incidents) is needed to ensure intelligent systems benefit people and society. The AI Incident Database is an incident collection initiated by an industrial/non-profit cooperative to enable AI incident avoidance and mitigation. The database supports a variety of research and development use cases with faceted and full text search on more than 1,000 incident reports archived to date.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
