Generative AI in Climate Change Communication and Education
Saved in:
| Title: | Generative AI in Climate Change Communication and Education |
|---|---|
| Authors: | Laranjeiro, Dionísia, Lillebø, Ana I., Vieira, Helena |
| Source: | Proceedings of the 17th International Conference on Computer Supported Education. :123-134 |
| Publisher Information: | SCITEPRESS - Science and Technology Publications, 2025. |
| Publication Year: | 2025 |
| Subject Terms: | ChatGPT, Climate education, Climate change, Climate communication |
| Description: | Climate communication faces challenges such as scientific complexity, misinformation or lack of personal connection that make it difficult for the public to understand and act on climate change in an informed way. This study was conducted to ascertain whether Generative AI may facilitate public understanding and reduce barriers to climate communication. Questions were asked to ChatGPT, that provided clear and informative answers, synthesising key concepts, clarifying doubts and excluding misinformation. Some answers were too brief or general, requiring more information. As Generative AI depends upon open access information, academia has a key role in ensuring availability of accurate science-based and policy-relevant knowledge. published |
| Document Type: | Article Part of book or chapter of book |
| DOI: | 10.5220/0013478400003932 |
| Access URL: | http://hdl.handle.net/10773/45235 |
| Rights: | CC BY NC ND |
| Accession Number: | edsair.doi.dedup.....907f93b1475afb4867e2911cedd4442b |
| Database: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstract: | Climate communication faces challenges such as scientific complexity, misinformation or lack of personal connection that make it difficult for the public to understand and act on climate change in an informed way. This study was conducted to ascertain whether Generative AI may facilitate public understanding and reduce barriers to climate communication. Questions were asked to ChatGPT, that provided clear and informative answers, synthesising key concepts, clarifying doubts and excluding misinformation. Some answers were too brief or general, requiring more information. As Generative AI depends upon open access information, academia has a key role in ensuring availability of accurate science-based and policy-relevant knowledge.<br />published |
|---|---|
| DOI: | 10.5220/0013478400003932 |