Navigating 'Artificial Intelligence': Between Semantic Illusion and Computational Reality

The discourse surrounding 'Artificial Intelligence' (AI) is fraught with a semantic slipperiness that warrants critical examination, as explored in this piece from Hespress. The widespread adoption of the term, akin to the earlier fervor around globalization, risks creating a conceptual fog where the reality of the technology is obscured by its evocative name. The article posits that the transfer of the word 'intelligence' from its human context to the technological realm is not a mere linguistic shift but a fundamental distortion of meaning.

“

The common usage of the term 'Artificial Intelligence' hides a deep semantic and conceptual ambiguity.

Human intelligence, in its true sense, is a complex tapestry of cognitive abilities: comprehension, interpretation, self-awareness, contextual understanding, and adaptive decision-making. It is deeply intertwined with lived experience, knowledge, and an engagement with the world. In stark contrast, what is labeled 'AI' is, at its core, a sophisticated computational process. It excels at processing massive datasets to identify statistical patterns, enabling it to produce outputs that mimic intelligent behavior. However, this mimicry, the article argues, does not equate to genuine intelligence, consciousness, or understanding. It is a high-level calculation, not cognition.

“

Human intelligence refers to a complex system of mental abilities, including understanding, interpretation, consciousness, and contextual awareness.

The piece draws a crucial distinction: human intelligence operates on the level of meaning and concept, while AI functions at the level of structure, patterns, and statistical probabilities. This is not a subtle difference but a qualitative one, separating an 'epistemic-interpretive' mode from a 'computational-procedural' one. The author further illuminates this by referencing the intelligence sector, where 'intelligence' refers to processed and analyzed information—the product of a complex institutional process—rather than innate cognitive ability. This analogy reinforces the idea that AI, like intelligence in the security context, is a product of data processing and institutional methodology, not inherent intellect.

“

What is termed 'Artificial Intelligence' is essentially a set of advanced computational procedures based on data processing.

Ultimately, the article serves as a vital reminder to approach the term 'AI' with caution. The 'intelligence' attributed to these systems is a derivative, a calculated output based on data, not a conscious or cognitive faculty. By highlighting the semantic shift and the inherent limitations of AI compared to human cognition, Hespress encourages a more grounded understanding of the technology, urging readers to differentiate between the technical, operational definition and the natural, human meaning of intelligence. This nuanced perspective is crucial for navigating the future, preventing a slide into 'semantic delusion' where the capabilities of machines are overestimated due to the allure of the word 'intelligence.'

“

This simulation does not imply genuine intelligence but reflects a computational ability to adapt to data according to predefined goals.