The Risks of Using Large Language Models to Write Incident Reports
Lorin Hochstein analyzed the systemic risks of using Large Language Models to generate incident reports in software engineering. While LLMs reduce manual effort during initial data gathering, delegating the drafting phase to generative AI removes critical human cognitive processing. Writing forces engineers to confront gaps in their understanding, whereas AI-generated text often produces plausible but unverified explanations. Unlike code generation, which benefits from immediate compilation and test feedback, faulty incident reports lack clear validation loops, resulting in superficial documentation that degrades long-term organizational learning and safety practices. (source: https://surfingcomplexity.blog/2026/06/19/i-am-dreading-our-llm-written-incident-report-future/)