dc.contributor.author | Cecconi, Federico | de |
dc.contributor.author | Marconi, Luca | de |
dc.contributor.author | Barazzetti, Alessandro | de |
dc.date.accessioned | 2024-04-16T11:04:52Z | |
dc.date.available | 2024-04-16T11:04:52Z | |
dc.date.issued | 2024 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/93781 | |
dc.description.abstract | In the realm of addressing global warming, the development and implementation of effective policies play a pivotal role. Given the vast amount of legislative documents generated annually, it becomes imperative to have a system in place that can efficiently analyze these documents to identify measures aimed at climate change mitigation. This article outlines the design of an innovative system that employs GPT-4, a state-of-the-art language model developed by OpenAI, to evaluate climate change policy. The proposed system is designed to ingest legislative documents as input and utilize GPT-4 to identify, categorize, and evaluate the policies within these documents that are related to climate change mitigation efforts. The system would be capable of processing a wide range of document formats and languages, thanks to GPT-4's multimodal and multilingual capabilities. | de |
dc.language | en | de |
dc.subject.ddc | Ökologie | de |
dc.subject.ddc | Ecology | en |
dc.subject.other | GPT-4; ESG | de |
dc.title | Designing an Evaluation System for Climate Change Mitigation Policies using GPT-4 | de |
dc.description.review | begutachtet | de |
dc.description.review | reviewed | en |
dc.publisher.country | CHE | de |
dc.subject.classoz | Ökologie und Umwelt | de |
dc.subject.classoz | Ecology, Environment | en |
dc.subject.thesoz | Klimawandel | de |
dc.subject.thesoz | climate change | en |
dc.subject.thesoz | Klimaschutz | de |
dc.subject.thesoz | climate protection | en |
dc.subject.thesoz | Klimapolitik | de |
dc.subject.thesoz | climate policy | en |
dc.subject.thesoz | Bewertung | de |
dc.subject.thesoz | evaluation | en |
dc.identifier.urn | urn:nbn:de:0168-ssoar-93781-2 | |
dc.rights.licence | Creative Commons - Namensnennung 4.0 | de |
dc.rights.licence | Creative Commons - Attribution 4.0 | en |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10061949 | |
internal.identifier.thesoz | 10060614 | |
internal.identifier.thesoz | 10076323 | |
internal.identifier.thesoz | 10036171 | |
dc.type.stock | monograph | de |
dc.type.document | Arbeitspapier | de |
dc.type.document | working paper | en |
dc.source.pageinfo | 12 | de |
internal.identifier.classoz | 20900 | |
internal.identifier.document | 3 | |
internal.identifier.ddc | 577 | |
dc.description.pubstatus | Erstveröffentlichung | de |
dc.description.pubstatus | Primary Publication | en |
internal.identifier.licence | 16 | |
internal.identifier.pubstatus | 5 | |
internal.identifier.review | 2 | |
internal.pdf.valid | false | |
internal.pdf.wellformed | true | |
internal.pdf.encrypted | false | |