{"title":"AI-PSM：我们现在在哪里？","authors":"Rainer Hoff","doi":"10.1002/prs.12610","DOIUrl":null,"url":null,"abstract":"Since its public debut in late 2022, ChatGPT has sparked growing interest in AI (Artificial Intelligence) within the Process Safety Management (PSM) community, serving as a tool for data capture and industry‐wide knowledge utilization. While machine learning (ML) had previously been explored in process safety, the emergence of large language models with chat‐style interfaces has made AI more accessible to non‐experts. Over the past year, I have managed the “AI‐PSM” LinkedIn group, facilitating discussions among PSM practitioners on the AI applications in PSM. These discussions have been analyzed using Prof. Thomas Malone's “4 Roles of AI” framework. This paper explores prevailing sentiments among AI‐PSM group members using Malone's model, addressing challenges such as mathematical problem‐solving, errors, and benchmarking.","PeriodicalId":20680,"journal":{"name":"Process Safety Progress","volume":"148 1","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"AI‐PSM: Where are we now?\",\"authors\":\"Rainer Hoff\",\"doi\":\"10.1002/prs.12610\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Since its public debut in late 2022, ChatGPT has sparked growing interest in AI (Artificial Intelligence) within the Process Safety Management (PSM) community, serving as a tool for data capture and industry‐wide knowledge utilization. While machine learning (ML) had previously been explored in process safety, the emergence of large language models with chat‐style interfaces has made AI more accessible to non‐experts. Over the past year, I have managed the “AI‐PSM” LinkedIn group, facilitating discussions among PSM practitioners on the AI applications in PSM. These discussions have been analyzed using Prof. Thomas Malone's “4 Roles of AI” framework. This paper explores prevailing sentiments among AI‐PSM group members using Malone's model, addressing challenges such as mathematical problem‐solving, errors, and benchmarking.\",\"PeriodicalId\":20680,\"journal\":{\"name\":\"Process Safety Progress\",\"volume\":\"148 1\",\"pages\":\"\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2024-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Process Safety Progress\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1002/prs.12610\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Process Safety Progress","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/prs.12610","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
Since its public debut in late 2022, ChatGPT has sparked growing interest in AI (Artificial Intelligence) within the Process Safety Management (PSM) community, serving as a tool for data capture and industry‐wide knowledge utilization. While machine learning (ML) had previously been explored in process safety, the emergence of large language models with chat‐style interfaces has made AI more accessible to non‐experts. Over the past year, I have managed the “AI‐PSM” LinkedIn group, facilitating discussions among PSM practitioners on the AI applications in PSM. These discussions have been analyzed using Prof. Thomas Malone's “4 Roles of AI” framework. This paper explores prevailing sentiments among AI‐PSM group members using Malone's model, addressing challenges such as mathematical problem‐solving, errors, and benchmarking.
期刊介绍：
Process Safety Progress covers process safety for engineering professionals. It addresses such topics as incident investigations/case histories, hazardous chemicals management, hazardous leaks prevention, risk assessment, process hazards evaluation, industrial hygiene, fire and explosion analysis, preventive maintenance, vapor cloud dispersion, and regulatory compliance, training, education, and other areas in process safety and loss prevention, including emerging concerns like plant and/or process security. Papers from the annual Loss Prevention Symposium and other AIChE safety conferences are automatically considered for publication, but unsolicited papers, particularly those addressing process safety issues in emerging technologies and industries are encouraged and evaluated equally.
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