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.

中文翻译：

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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

成熟的工业部门（例如，航空）在事件数据库中收集其真实世界的故障以告知安全改进。智能系统目前会对现实世界造成危害，而没有对其失败的集体记忆。结果，公司在智能系统的设计、开发和部署中反复犯同样的错误。需要收集现实世界中经历过的智能系统故障（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集合，旨在避免和减轻 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 多个事件报告进行分面和全文搜索。