Inteligência artificial e mudanças climáticas
Bibliographic Data
| ID | 3073984 |
|---|---|
| Authors | Paulo Artaxo (0000-0001-7754-3036, Universidade de São Paulo), Luciana V Rizzo (0000-0002-1748-6997, Universidade de São Paulo), Luiz A T Machado (0000-0002-8243-1706, Universidade de São Paulo) |
| Year | 2024 |
| Issue | 141 |
| Pages | 29-40 |
| Publication date | 2024-06-05 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Revista USP (JOURNAL) |
| Journal identifiers | ISSN: 0103-9989 • E-ISSN: 2316-9036 |
| Publisher | Universidade de São Paulo. Agência de Bibliotecas e Coleções Digitais (PUBLISHER) |
| DOI | 10.11606/issn.2316-9036.i141p29-40 |
| OpenAlex | W4399387017 |
| Language | PT |
| References cited | 2 |
AI is increasingly essential for tackling climate change. Satellite images and sensors produce a huge amount of data every second. They are compiled and analyzed with AI tools. Forecast models, weather, and global climate models, with highly complex physical parameterization, are explicitly calculated with AI, which also optimizes energy sources, renewable energy, and electrical energy distribution networks. Despite these applications, challenges linked to ethics, data privacy, and the environmental impact of AI training require careful attention. The balance between technology and ethics is crucial for ensuring the responsible use of AI in the fight against climate change
Artificial Intelligence · Big Data and Business Intelligence · Computer Science
| Highly cited | No |
|---|