Abstract
In this contribution, we argue that current large language models can be seen as tools for acquiring and generating artificial wisdom, enabling us to make wiser decisions and behave more intelligently. Unlike earlier approaches in AI, which focused on generating knowledge from data, contemporary language models have the ability to extract meaning from syntactic patterns and relate this meaning to real-world descriptions. This capability reflects a form of cognition known as 4E cognition, which emphasizes the embodied, embedded, extended, and enacted nature of intelligent behavior. We argue that contemporary language models possess a form of illusory intelligence and illusory wisdom that has not been described in the literature before. This challenges the traditional computational approaches to AI and opens up new avenues for research concerning the relationship between language, cognition, and intelligence. By recognizing the potential of large language models to generate and use (artificial) wisdom, we can move beyond the knowledge-centric approaches to AI and develop more nuanced models of intelligent behaviour.
Translated title of the contribution | Artificial intelligence as a lift to our future |
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Original language | Czech |
Title of host publication | Proč se nebát umělé inteligence? |
Subtitle of host publication | AI pohledem nejen českých odborníků |
Editors | V. Mařík, M. Trčka, D. Černý |
Place of Publication | Brno |
Publisher | JOTA |
Pages | 397-413 |
Number of pages | 17 |
ISBN (Print) | 978-80-7689-459-4 |
Publication status | Published - 2024 |
Keywords
- artificial intelligence
- artificial wisdom
- generative AI
- large language models