Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database
نویسندگان
چکیده
Mature industrial sectors (e.g., aviation) collect their real world failures in incident databases to inform safety improvements. Intelligent systems currently cause harms without a collective memory of failings. As result, companies repeatedly make the same mistakes design, development, and deployment intelligent systems. A collection system experienced (i.e., incidents) is needed ensure benefit people society. The AI Incident Database an initiated by industrial/non-profit cooperative enable avoidance mitigation. database supports variety research development use cases with faceted full text search on more than 1,000 reports archived date.
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ژورنال
عنوان ژورنال: Proceedings of the ... AAAI Conference on Artificial Intelligence
سال: 2021
ISSN: ['2159-5399', '2374-3468']
DOI: https://doi.org/10.1609/aaai.v35i17.17817