风险管理
独创性
客观性(哲学)
背景(考古学)
鉴定(生物学)
计算机科学
项目管理
知识管理
风险分析(工程)
管理科学
工程类
定性研究
业务
社会学
系统工程
认识论
哲学
社会科学
生物
财务
植物
古生物学
作者
Roope Nyqvist,Antti Peltokorpi,Olli Seppänen
标识
DOI:10.1108/ecam-08-2023-0819
摘要
Purpose The objective of this research is to investigate the capabilities of the ChatGPT GPT-4 model, a form of artificial intelligence (AI), in comparison to human experts in the context of construction project risk management. Design/methodology/approach Employing a mixed-methods approach, the study draws a qualitative and quantitative comparison between 16 human risk management experts from Finnish construction companies and the ChatGPT AI model utilizing anonymous peer reviews. It focuses primarily on the areas of risk identification, analysis, and control. Findings ChatGPT has demonstrated a superior ability to generate comprehensive risk management plans, with its quantitative scores significantly surpassing the human average. Nonetheless, the AI model's strategies are found to lack practicality and specificity, areas where human expertise excels. Originality/value This study marks a significant advancement in construction project risk management research by conducting a pioneering blind-review study that assesses the capabilities of the advanced AI model, GPT-4, against those of human experts. Emphasizing the evolution from earlier GPT models, this research not only underscores the innovative application of ChatGPT-4 but also the critical role of anonymized peer evaluations in enhancing the objectivity of findings. It illuminates the synergistic potential of AI and human expertise, advocating for a collaborative model where AI serves as an augmentative tool, thereby optimizing human performance in identifying and managing risks.
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