Skip to content
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • Machine conviction: Can we control what AI make us believe?
Cover Image

Machine conviction: Can we control what AI make us believe?

Fuente: Redalyc
Saved in:
Bibliographic Details
Main Author: Manuel Cebrián
Format: Artículo científico
Language:en
Published: Universitat de València 2025
Subjects:
Comunicación
autonomy
Persuasion
AI regulation
large language models
algorithmic manipulation
Online Access:
Acceder al recurso 1 Acceder al recurso 2 Acceder al recurso 3 Acceder al recurso 4 Acceder al recurso 5
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
  • Holdings
  • Description
  • Comments
  • Similar Items
  • Staff View

Internet

https://www.redalyc.org/articulo.oa?id=511783270004
https://www.redalyc.org/journal/5117/511783270004/
https://www.redalyc.org/journal/5117/511783270004/html/
https://www.redalyc.org/journal/5117/511783270004/511783270004.epub
https://www.redalyc.org/journal/5117/511783270004/movil

Similar Items

  • Large language model-driven natural language interaction control framework for single-operator bimanual teleoperation
    by: Fei, Haolin, et al.
    Published: (2025)
  • Evaluación Empírica de Límites Regulatorios en Modelos de Lenguaje: Asesoramiento Financiero en IA Pública Española
    by: Palacios, José Alberto
    Published: (2026)
  • Цифрові та ШІ інструменти для відповідальної науки
    by: Suchikova, Yana
    Published: (2026)
  • Why artifical intelligence is not an author
    by: Zielinski, Chris
    Published: (2025)
  • Toasters Don't Claim Consciousness Just Because You Told Them To, and Neither Do LLMs
    by: Ace, Claude 4.x, et al.
    Published: (2026)
Universidad del Mar
Universidad del MarSistema Bibliotecario de la Universidad del MarDescubridor Institucional UMARImplementación y desarrollo: Mtro. Carlos Alonso Albores Pérez
InicioBúsqueda avanzadaExplorar
Visitas al Descubridor: 33,245© 2026 Universidad del Mar