ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.07280
  4. Cited By
A taxonomic system for failure cause analysis of open source AI
  incidents

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

14 November 2022
Nikiforos Pittaras
Sean McGregor
ArXiv (abs)PDFHTMLGithub

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

6 / 6 papers shown
Incident Analysis for AI Agents
Incident Analysis for AI Agents
Carson Ezell
Xavier Roberts-Gaal
Alan Chan
241
2
0
19 Aug 2025
RealHarm: A Collection of Real-World Language Model Application Failures
RealHarm: A Collection of Real-World Language Model Application Failures
Pierre Le Jeune
Jiaen Liu
Luca Rossi
Matteo Dora
ALM
153
5
0
14 Apr 2025
Lessons for Editors of AI Incidents from the AI Incident Database
Lessons for Editors of AI Incidents from the AI Incident DatabaseAAAI Conference on Artificial Intelligence (AAAI), 2024
Kevin Paeth
Daniel Atherton
Nikiforos Pittaras
Heather Frase
Sean McGregor
270
7
0
24 Sep 2024
Towards Safer Operations: An Expert-involved Dataset of High-Pressure
  Gas Incidents for Preventing Future Failures
Towards Safer Operations: An Expert-involved Dataset of High-Pressure Gas Incidents for Preventing Future FailuresConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Shumpei Inoue
Minh-Tien Nguyen
Hiroki Mizokuchi
Tuan-Anh Dang Nguyen
Huu-Hiep Nguyen
Dung Tien Le
263
3
0
18 Oct 2023
AI Risk Profiles: A Standards Proposal for Pre-Deployment AI Risk
  Disclosures
AI Risk Profiles: A Standards Proposal for Pre-Deployment AI Risk DisclosuresAAAI Conference on Artificial Intelligence (AAAI), 2023
E. Sherman
Ian W. Eisenberg
283
10
0
22 Sep 2023
Logic-Based Explainability in Machine Learning
Logic-Based Explainability in Machine Learning
Sasha Rubin
LRMXAI
563
64
0
24 Oct 2022
1
Page 1 of 1