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Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database
arXiv - CS - Computers and Society Pub Date : 2020-11-17 , DOI: arxiv-2011.08512 Sean McGregor
arXiv - CS - Computers and Society Pub Date : 2020-11-17 , DOI: arxiv-2011.08512 Sean McGregor
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:
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。
更新日期:2020-11-18
中文翻译:
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。