Benefits and Concerns of Using Emerging Artificial Intelligence Chatbots With Work in NDT

IF 0.5 4区材料科学 Q4 MATERIALS SCIENCE, CHARACTERIZATION & TESTING

Materials Evaluation Pub Date : 2023-07-01 DOI:10.32548/2023.me-04361

John Aldrin

引用次数: 0

Abstract

While most of the papers in this special issue explore the use of artificial intelligence and machine learning (AI/ML) to support the evaluation of nondestructive testing (NDT) data and assist with the classification of NDT indications, there are other important ways that emerging AI tools may impact how we work in NDT. The article discusses the recent emergence of AI chatbots, also referred to as generative artificial intelligence agents or large language models (LLMs), and highlights the potential benefits and risks as part of work in the NDT field.

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在无损检测中使用新兴人工智能聊天机器人的好处和关注

虽然本期特刊中的大多数论文都探讨了使用人工智能和机器学习（AI/ML）来支持无损检测（NDT）数据的评估并帮助无损检测指示的分类，但新兴的人工智能工具可能会影响我们在无损检测中的工作方式。这篇文章讨论了最近出现的人工智能聊天机器人，也称为生成人工智能代理或大型语言模型（LLM），并强调了作为无损检测领域工作的一部分的潜在好处和风险。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Materials Evaluation 工程技术-材料科学：表征与测试

CiteScore

0.90

自引率

16.70%

发文量

审稿时长

6-12 weeks

期刊介绍： Materials Evaluation publishes articles, news and features intended to increase the NDT practitioner’s knowledge of the science and technology involved in the field, bringing informative articles to the NDT public while highlighting the ongoing efforts of ASNT to fulfill its mission. M.E. is a peer-reviewed journal, relying on technicians and researchers to help grow and educate its members by providing relevant, cutting-edge and exclusive content containing technical details and discussions. The only periodical of its kind, M.E. is circulated to members and nonmember paid subscribers. The magazine is truly international in scope, with readers in over 90 nations. The journal’s history and archive reaches back to the earliest formative days of the Society.