AI Failures in the Eyes of the Downstream Developer: A First Look at Concerns, Practices, and Challenges
Published in arXiv preprint (Major Revision at EMSE), 2025
Recommended citation: Haoyu Gao, Mansooreh Zahedi, Wenxin Jiang, Hong Yi Lin, James C. Davis, and Christoph Treude. 2025. AI Failures in the Eyes of the Downstream Developer: A First Look at Concerns, Practices, and Challenges. arXiv:2503.19444. https://arxiv.org/abs/2503.19444
A mixed-method study (16 interviews, 86 survey responses, and 874 real-world AI incident cases) investigating downstream developers’ concerns, practices, and challenges regarding AI failures when reusing pre-trained models in AI-based software.