| Abstract Scope |
As artificial intelligence rapidly matures across industries, we face fundamental questions about the nature of human intelligence, decision-making, and professional expertise. This session begins with a critical examination of AI's broader implications for human cognition and workplace dynamics before diving deep into how these forces are reshaping the welding inspection profession.
The first half of the discussion explores the essential human factors that must be preserved as AI adoption accelerates: the irreplaceable role of critical thinking in evaluating AI recommendations, the nuanced problem-solving capabilities that distinguish human judgment from algorithmic processing, and the crucial skill of knowing when—and when not—to deploy AI solutions. These cognitive capabilities become especially vital in safety-critical environments where lives depend on sound decision-making.
From aerospace manufacturing to pipeline construction, welding quality has always been the invisible foundation of modern infrastructure. Certified Welding Inspectors—professionals who ensure welds meet rigorous safety standards through visual inspection, code compliance verification, and quality documentation—have served as the critical human gatekeepers of structural integrity for decades. However, emerging AI technologies can now detect weld defects, classify spatter patterns, and identify anomalies that human inspectors cannot perceive or quantify, creating a compelling case study of how AI transforms professional practice while highlighting the enduring need for human oversight and critical judgment. |