Season 5, Episode 1: AI, Metrology, and the Limits of Automation Metrology Today returns for Season 5 with guest Stephen Puryear joining Ryan and Henry for a practical discussion about artificial intelligence and its growing role in metrology, calibration, technical education, and laboratory operations. The conversation examines both the value and the risks of AI. The group discusses inaccurate AI-generated metrology content, the importance of subject-matter expertise, and why technical professionals must verify anything produced by an AI system before using it for training, decision-making, procedures, or published material. They also explore useful applications of AI, including uncertainty-budget development, spreadsheet review, document standardization, procedure analysis, technical writing, image generation, data trending, and equipment troubleshooting. The discussion expands into the need for formal AI-use policies, validation of AI-assisted measurement systems, protection of sensitive information, and appropriate management oversight before new tools are implemented. The central message is straightforward: AI can be an exceptionally powerful companion tool, but it does not replace technical knowledge, professional judgment, or accountability. Topics include: AI-generated misinformation in metrology Using AI to support uncertainty analysis and spreadsheets The difference between assistance and reliance AI policies for laboratories, educators, and students Validation of AI-assisted measurement systems Data analysis, procedures, and technical documentation Artificial general intelligence and the work of Alan Turing and David Deutsch Why training, peer review, and professional networking remain essential This episode offers a balanced look at how metrology professionals can use AI to work more efficiently without compromising technical integrity.
