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Assessment Power of ChatGPT in the Context of Environmental Compliance Management – Experiments with a Real-World Regulation Cadastre

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dc.contributor.authorThimm, Heiko
dc.contributor.editorWohlgemuth, Volker
dc.contributor.editorKranzlmüller, Dieter
dc.contributor.editorHöb, Maximilian
dc.date.accessioned2023-12-15T09:22:23Z
dc.date.available2023-12-15T09:22:23Z
dc.date.issued2023
dc.description.abstractIn multiple research disciplines use cases built on Large Language Models in particular ChatGPT are at the centre of today’s discussions. For example, in various ongoing projects of the LegalTech area ChatGPT is evaluated in terms of its potential to replace routine work of lawyers. In a recently started project we are investigating the use of ChatGPT for a specific corporate compliance management task. In particular, based on a real-world test data set ChatGPT is prompted to assess the relevance of environmental regulations. The ChatGPT output is compared to the respective judgements of the human experts in order to obtain a first indication of the assessment power of ChatGPT in the compliance management domain. This research in progress article gives an overview of the evaluation approach and presents first results of a set of 142 test cases covering regulations from four different areas of environmental legislation.en
dc.identifier.doi10.18420/env2023-014
dc.identifier.isbn978-3-88579-736-4
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43334
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofEnviroInfo 2023
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-342
dc.subjectEnvironmental Legislation
dc.subjectCorporate Environmental Compliance Management
dc.subjectGenerative Artificial Intelligence
dc.subjectLarge Language Models
dc.titleAssessment Power of ChatGPT in the Context of Environmental Compliance Management – Experiments with a Real-World Regulation Cadastreen
dc.typeText/Conference Paper
gi.citation.endPage162
gi.citation.publisherPlaceBonn
gi.citation.startPage153
gi.conference.date11.-13. Oktober 2023
gi.conference.locationGarching, Germany
gi.conference.reviewfull
gi.conference.sessiontitleInnovative Approaches and Solutions

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P342 - EnviroInfo 2023
Environmental Informatics 2023