A taxonomic system for failure cause analysis of open source AI incidents

14 November 2022

Papers citing "A taxonomic system for failure cause analysis of open source AI incidents"

6 / 6 papers shown

Title
RealHarm: A Collection of Real-World Language Model Application Failures Pierre Le Jeune Jiaen Liu Luca Rossi Matteo Dora ALM 33 0 0 14 Apr 2025
Lessons for Editors of AI Incidents from the AI Incident Database Kevin Paeth Daniel Atherton Nikiforos Pittaras Heather Frase Sean McGregor 26 1 0 24 Sep 2024
Towards Safer Operations: An Expert-involved Dataset of High-Pressure Gas Incidents for Preventing Future Failures Shumpei Inoue Minh-Tien Nguyen Hiroki Mizokuchi Tuan-Anh Dang Nguyen Huu-Hiep Nguyen Dung Tien Le 25 1 0 18 Oct 2023
AI Risk Profiles: A Standards Proposal for Pre-Deployment AI Risk Disclosures E. Sherman Ian W. Eisenberg 35 5 0 22 Sep 2023
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 50 39 0 24 Oct 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 345 12,003 0 04 Mar 2022