Summary:
Understanding artificial intelligence (AI) and belief formation have interesting bidirectional synergies. From explaining the logical derivation of beliefs and their internal consistency, to giving a quantitative account of mightiness, AI still has plenty of unexploited metaphors that can illuminate belief formation. In addition, acknowledging that AI should integrate itself with our belief processes (mainly, the capacity to reflect, rationalize, and communicate that is allowed by semantic coding) makes it possible to focus on more promising lines such as Interpretable Machine Learning.
Spanish layman's summary:
Comprender los procesos de formación de creencias puede ayudarnos a hacer una mejor IA, una que pueda respaldar mejores decisiones. La sinergia funciona también al revés: la IA proporciona metáforas muy útiles para entender mejor la formación de creencias. Este artículo proporciona las claves.
English layman's summary:
Understanding how humans form their beliefs can help us make better IA, one that can support better decisions. The synergy also operates in reverse: IA provides very useful metaphors to understand belief formation better. This paper identifies the key issues to research.
Keywords: artificial intelligence, Belief, Machine bias, Complexity, reinforcement learning
JCR Impact Factor and WoS quartile: 3,800 - Q1 (2022); 2,600 - Q2 (2023)
DOI reference: https://doi.org/10.3389/fpsyg.2022.868903
Published on paper: 2022.
Published on-line: April 2022.
Citation:
S. Lumbreras, The synergies between understanding belief formation and artificial intelligence. Frontiers in Psychology. Vol. 13, pp. 868903-1 - 868903-4, 2022. [Online: April 2022]