Unveiling the Environmental Implications of Automatic Text Generation and the Role of Detection Systems
The emergence of artificial intelligence (AI) and natural language processing (NLP) technologies has led to the proliferation of automated systems capable of generating text. While these advancements have enhanced various fields, such as language translation and content generation, they have also gi...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/49/e3sconf_icies2023_01102.pdf |
| _version_ | 1797737635801726976 |
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| author | Al Karkouri Adnane Ghanimi Fadoua Bourekkadi Salmane |
| author_facet | Al Karkouri Adnane Ghanimi Fadoua Bourekkadi Salmane |
| author_sort | Al Karkouri Adnane |
| collection | DOAJ |
| description | The emergence of artificial intelligence (AI) and natural language processing (NLP) technologies has led to the proliferation of automated systems capable of generating text. While these advancements have enhanced various fields, such as language translation and content generation, they have also given rise to concerns regarding the potential misuse of generated texts, particularly in the context of environmental preservation. This scientific article investigates the intricate relationship between automatic detection of generated texts and the environment. We examine the impact of generated texts on environmental awareness, misinformation propagation, and the role of automated detection systems in mitigating the risks associated with generated content. Our findings highlight the crucial need for robust detection mechanisms to preserve the integrity of environmental discourse and ensure sustainable decision-making. |
| first_indexed | 2024-03-12T13:32:13Z |
| format | Article |
| id | doaj.art-3c0282816e6947af859952992c33ef58 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-12T13:32:13Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-3c0282816e6947af859952992c33ef582023-08-24T08:21:14ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014120110210.1051/e3sconf/202341201102e3sconf_icies2023_01102Unveiling the Environmental Implications of Automatic Text Generation and the Role of Detection SystemsAl Karkouri Adnane0Ghanimi Fadoua1Bourekkadi Salmane2Ibn Tofail UniversityIbn Tofail UniversityUniversity Of PoitiersThe emergence of artificial intelligence (AI) and natural language processing (NLP) technologies has led to the proliferation of automated systems capable of generating text. While these advancements have enhanced various fields, such as language translation and content generation, they have also given rise to concerns regarding the potential misuse of generated texts, particularly in the context of environmental preservation. This scientific article investigates the intricate relationship between automatic detection of generated texts and the environment. We examine the impact of generated texts on environmental awareness, misinformation propagation, and the role of automated detection systems in mitigating the risks associated with generated content. Our findings highlight the crucial need for robust detection mechanisms to preserve the integrity of environmental discourse and ensure sustainable decision-making.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/49/e3sconf_icies2023_01102.pdfautomatic detectiongenerated textsenvironmentenvironmental awarenessmisinformationdisinformationmanipulationconservation effortsainlpmachine learningdetection systemsethical considerationsgovernment regulationscollaborative effortsinterdisciplinary researchpolicy frameworkseducationawarenessfuture directionssustainable development |
| spellingShingle | Al Karkouri Adnane Ghanimi Fadoua Bourekkadi Salmane Unveiling the Environmental Implications of Automatic Text Generation and the Role of Detection Systems E3S Web of Conferences automatic detection generated texts environment environmental awareness misinformation disinformation manipulation conservation efforts ai nlp machine learning detection systems ethical considerations government regulations collaborative efforts interdisciplinary research policy frameworks education awareness future directions sustainable development |
| title | Unveiling the Environmental Implications of Automatic Text Generation and the Role of Detection Systems |
| title_full | Unveiling the Environmental Implications of Automatic Text Generation and the Role of Detection Systems |
| title_fullStr | Unveiling the Environmental Implications of Automatic Text Generation and the Role of Detection Systems |
| title_full_unstemmed | Unveiling the Environmental Implications of Automatic Text Generation and the Role of Detection Systems |
| title_short | Unveiling the Environmental Implications of Automatic Text Generation and the Role of Detection Systems |
| title_sort | unveiling the environmental implications of automatic text generation and the role of detection systems |
| topic | automatic detection generated texts environment environmental awareness misinformation disinformation manipulation conservation efforts ai nlp machine learning detection systems ethical considerations government regulations collaborative efforts interdisciplinary research policy frameworks education awareness future directions sustainable development |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/49/e3sconf_icies2023_01102.pdf |
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