@article{ART003133193},
author={Kwanghun Choi and Jongsik Ha and Daeyong Jin},
title={Pilot Application and Expansion Direction of Generative AI for the Review of Environmental Impact Assessment Reports},
journal={Journal of Environmental Impact Assessment},
issn={1225-7184},
year={2024},
volume={33},
number={5},
pages={252-276}
TY - JOUR
AU - Kwanghun Choi
AU - Jongsik Ha
AU - Daeyong Jin
TI - Pilot Application and Expansion Direction of Generative AI for the Review of Environmental Impact Assessment Reports
JO - Journal of Environmental Impact Assessment
PY - 2024
VL - 33
IS - 5
PB - Korean Society Of Environmental Impact Assessment
SP - 252
EP - 276
SN - 1225-7184
AB - The review of environmental impact assessment reports is a crucial process to ensure the expertise and objectivity of the content and procedures of Environmental Impact Assessment (EIA). Since the amendment of the Environmental Impact Assessment Act in 1997, a single national research institute has independently and exclusively supported this role based on legal grounds. In 2021, in an effort to secure a more diverse range of review opinions, there was a movement towards decentralization and diversification of review institutions. However, concerns have been raised about the limitations in the independence and consistency of these review opinions. Meanwhile, with the introduction of OpenAI’s ChatGPT in November 2022, the use of generative artificial intelligence (AI) has increased, becoming common in daily life, work, and research. This has led to discussions about the potential use of generative AI to leverage existing EIA review capabilities and ensure a balanced range of opinions from the recently decentralized and diversified institutions. This study aims to propose a pilot implementation and future methodological and institutional expansion of generative AI to support the review of environmental impact assessment reports. To achieve this, a generative AI system was initially developed and tested to support the review of content related to Health Impact Assessment within the EIA framework. The practical applications of this pilot system were documented. Additionally, by specifying the procedures, content, and stakeholders involved in the EIA review process, this paper suggests considerations for its expansion from both methodological and institutional perspectives.
KW - the review of environmental impact assessment reports;generative AI;health impact assessment
DO -
UR -
ER -
Kwanghun Choi, Jongsik Ha and Daeyong Jin. (2024). Pilot Application and Expansion Direction of Generative AI for the Review of Environmental Impact Assessment Reports. Journal of Environmental Impact Assessment, 33(5), 252-276.
Kwanghun Choi, Jongsik Ha and Daeyong Jin. 2024, "Pilot Application and Expansion Direction of Generative AI for the Review of Environmental Impact Assessment Reports", Journal of Environmental Impact Assessment, vol.33, no.5 pp.252-276.
Kwanghun Choi, Jongsik Ha, Daeyong Jin "Pilot Application and Expansion Direction of Generative AI for the Review of Environmental Impact Assessment Reports" Journal of Environmental Impact Assessment 33.5 pp.252-276 (2024) : 252.
Kwanghun Choi, Jongsik Ha, Daeyong Jin. Pilot Application and Expansion Direction of Generative AI for the Review of Environmental Impact Assessment Reports. 2024; 33(5), 252-276.
Kwanghun Choi, Jongsik Ha and Daeyong Jin. "Pilot Application and Expansion Direction of Generative AI for the Review of Environmental Impact Assessment Reports" Journal of Environmental Impact Assessment 33, no.5 (2024) : 252-276.
Kwanghun Choi; Jongsik Ha; Daeyong Jin. Pilot Application and Expansion Direction of Generative AI for the Review of Environmental Impact Assessment Reports. Journal of Environmental Impact Assessment, 33(5), 252-276.
Kwanghun Choi; Jongsik Ha; Daeyong Jin. Pilot Application and Expansion Direction of Generative AI for the Review of Environmental Impact Assessment Reports. Journal of Environmental Impact Assessment. 2024; 33(5) 252-276.
Kwanghun Choi, Jongsik Ha, Daeyong Jin. Pilot Application and Expansion Direction of Generative AI for the Review of Environmental Impact Assessment Reports. 2024; 33(5), 252-276.
Kwanghun Choi, Jongsik Ha and Daeyong Jin. "Pilot Application and Expansion Direction of Generative AI for the Review of Environmental Impact Assessment Reports" Journal of Environmental Impact Assessment 33, no.5 (2024) : 252-276.