The recent advances of artificial intelligence have been largely focused on the text, but the AI is increasingly promising in other contexts, including manufacturing and the service industry. In these sectors, the specific IA improvements can improve the quality of the product and the safety of workers, according to a new co -authorship study of an interdisciplinary team of experts from the University of Notre Dame.
The study, published in Information fusionExplore how a kind of AI tools capable of processing multiple types of entries and reasoning can affect the future of work. These tools, which include chatgpt, are known as multimodal large models. And although most studies on AI and work have focused on office work, this new research examined production work configuration, where the benefits of AI may seem less evident.
Notre Dame researchers collaborated with Indiana welding experts at the Elkhart area, Plymouth High School, Career Academy South Bles university. North Indiana has one of the highest concentrations of manufacturing jobs in the United States and Industry Labs has collaborated with more than 80 companies in the region in more than 200 projects.
The research focused on welding in several industries: RV and Marina, Aeronautics and Agriculture. The study examined how large language models evaluated welding images to determine if the welds shown would work for different products. The researchers found that while these AI tools were promising to assess the quality of welding, they performed a significantly better analysis that was selected online compared to real welds.
“This discrepancy underlines the need to incorporate welding data into the real world by training these AI models, and use more advanced knowledge distillation strategies when interacting with AI,” said co -author Nitesh Chawla, professor of science and computer engineering from Frank M. Freimann at the University of Notre Dame and the founding director of the Lucy Family Institute of the Lucy Family of the Lucy Family for data and Data. “That will help AI systems to ensure that welds work as they should. Ultimately, this will help improve workers’ safety, product quality and economic opportunities.”
The researchers discovered that the specific indications of the context can improve the performance of AI models in some cases, and pointed out that the size or complexity of the models did not necessarily lead to better performance. Ultimately, the study co -authors recommended that future studies focus on improving the ability of models to reason in unknown domains.
“Our study shows that the need to adjust AI to be more effective in manufacturing and provide more solid reasoning and responses in industrial applications,” said Grigorii Khvatski, a doctoral student in the Department of Computer Science and Engineering of Notre Dame and a scholar of the Lucy Family Institute.
Yong Suk Lee, Associate Professor of Technology, Economics and Global Affairs at the School of Global Affairs of Notre Dame and President of Programs for the Ethics of Technology at the Institute of Ethics of Notre Dame and the common good, said that the study findings have important implications for the future of work.
“As the adoption of AI grows in industrial contexts, professionals will need to balance compensation between the use of complex and expensive models of general purpose and opt for adjusted models that better meet the needs of the industry,” Lee said. “The integration of the AI explainable in these decision -making frameworks will be essential to ensure that the AI systems are not only effective but also transparent and responsible.”
The study received funds from the work program of the National Foundation of Sciences of the USA and is one of the research projects financed by the Federal Government at the University of Notre Dame.
In addition to Chawla, Khvatski and Lee, the study co -authors include Corey Angst, the university professor of the Jack Family and Joan McGraw of IT, analysis and operations at the Mendoza College of Business of the University; Maria Gibbs, senior director of Notre Dame’s Industry Labs; and Robert Landers, an advanced university professor at the Faculty of Engineering of Notre Dame.