Hazard analysis in the era of AI: Assessing the usefulness of ChatGPT4 in STPA hazard analysis
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Published:2024-10
Issue:
Volume:178
Page:106608
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ISSN:0925-7535
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Container-title:Safety Science
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language:en
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Short-container-title:Safety Science
Author:
Charalampidou StavroulaORCID, Zeleskidis ApostolosORCID, Dokas Ioannis M.ORCID
Reference20 articles.
1. Charalampidou, S., Lygouras, E., Dokas, I., Gasteratos, A., Zacharopoulou, A., 2020, September. A Sociotechnical Approach to UAV Safety for Search and Rescue Missions. In: 2020 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 1416-1424). IEEE. 2. Diemert, S., Weber, J.H., 2023. Can Large Language Models assist in Hazard Analysis? arXiv preprint arXiv:2303.15473. 3. Ekramipooya, A., Boroushaki, M., Rashtchian, D., 2023. Application of Natural Language Processing and Machine Learning in Prediction of Deviations in the HAZOP Study Worksheet: A Comparison of Classifiers. Process Saf. Environ. Protect. 4. Application of natural language processing in HAZOP reports;Feng;Process Saf. Environ. Protect.,2021 5. Hadi, M.U., Qureshi, R., Shah, A., Irfan, M., Zafar, A., Shaikh, M.B., Akhtar, N., Wu, J., Mirjalili, S., 2023. A survey on large language models: Applications, challenges, limitations, and practical usage. Authorea Preprints.
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