Coding Literacy in the Age of Generative AI

被引：0
|
作者：
Brennan, Robert W. [1 ]
McDermott, Brenda [1 ]
机构：
[1] Univ Calgary, 2500 Univ Dr NW, Calgary, AB T2N 1N4, Canada
来源：
SERVICE ORIENTED, HOLONIC AND MULTI-AGENT MANUFACTURING SYSTEMS FOR INDUSTRY OF THE FUTURE, SOHOMA 2023 | 2024年 / 1136卷
基金：
加拿大自然科学与工程研究理事会;
关键词：
Natural language coding; Automation system; Generative AI; OpenAI GPT-4;
D O I：
10.1007/978-3-031-53445-4_37
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
As demonstrated by recent advances in large language models and generative AI, it is now possible to generate code from simple natural language prompts. Given the importance of coding literacy to industry, this raises questions around the future of coding and the ethical implications of AI-generated code. In this paper, we review the recent work on automated code generation and place this in the context of industrial automation systems coding. Based on our experience, these new models have the potential to increase the importance of, as well as change the nature of coding literacy.
引用
收藏
页码：445 / 456
页数：12
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