Skip to content

Author

M. Arowolo

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Review Open access Sep 2026

Cross-System Legibility of a Practitioner-Derived Workflow-Error Taxonomy for Conversational AI: A Three-Comparator Agreement Study

Practitioner-derived taxonomies of conversational artificial intelligence (AI) workflow errors show low inter-rater agreement among human coders, leaving open whether the instrument is ill-specified or the judgments are inherently difficult. We delivered a locked eight-category workflow-error taxonomy verbatim, under s...

D. Austria, B. McCollister, J. Lindsey et al. · 0 citations
Review Open access Aug 2026

From Output Errors to Workflow Harm: A Practitioner-Audit Method for LLM-Mediated Research

TRACE (Tracking Reliability of AI-generated Conversational Evidence), a practitioner-audit framework for evaluating the downstream workflow reliability of conversational AI, is presented, suggesting taxonomy legibility under standardized conditions even where human judgment diverged.

D. Austria, B. McCollister, J. Lindsey et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.