Semiotics and R&D of AI. The leap towards AC (artificial consciousness)
Despite the surrounding advancements in AI, from medical diagnoses to detailed surveillance, algorithms pose limitations for AI to think independently (artificial consciousness), highlighting the necessity to comprehend its future processes of abduction and focus on data, models, and individuals to...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Artículo revista |
| Lenguaje: | Español |
| Publicado: |
Universidad Nacional del Nordeste. Facultad de Humanidades
2024
|
| Materias: | |
| Acceso en línea: | https://revistas.unne.edu.ar/index.php/nea/article/view/7581 |
| Aporte de: |
| Sumario: | Despite the surrounding advancements in AI, from medical diagnoses to detailed surveillance, algorithms pose limitations for AI to think independently (artificial consciousness), highlighting the necessity to comprehend its future processes of abduction and focus on data, models, and individuals to foster a more creative and autonomous artificial intelligence, a subject we will delve into in the following notes. |
|---|