Brett Reynolds is Professor of English for Academic Purposes and TESL at Humber Polytechnic, where he has taught since 2003, and adjunct professor of linguistics at the University of Toronto.
He studies when labels, scores, and categories support reliable inference, and when they don’t. The cases come from AI evaluation and assurance, English grammar, and the philosophy of science. In linguistics that means grammatical categories, syntactic annotation, usage-based and constructionist analysis, and what grammaticality judgments can – and can’t – tell us. In AI evaluation it means benchmark validity, evaluator reliability, language-mediated control, delegated authority, and audit evidence.
Recent AI work includes an adversarial-pragmatics seed benchmark and evaluation pipeline for instruction conflict, embedded commands, policy ambiguity, refusal calibration, and LLM-judge validation; a delegation-assurance framework for tool-using AI systems; and an evidentiary-assurance framework for audit, challenge, and remediation.
He co-authored the second edition of A Student’s Introduction to English Grammar (2022) and co-edited a new edition of Negation in English and Other Languages (2025). Language Landscapes, a TESL textbook, was published by Language Science Press in 2026. His current monograph is Words That Won’t Hold Still: How Linguistic Categories Work, a completed manuscript under review.
AI evaluation and assurance; benchmark validity; evaluator and gold-label validity; language-mediated control; delegated authority; audit evidence and contestability; category stability and inference; English grammar and grammatical categories; philosophy of science.
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