Language and Intelligence, Artificial vs. Natural or What Can and What Cannot AI Do with NL?

TL;DR

This paper discusses the fundamental differences between artificial and natural intelligence, emphasizing that certain pragmatic features of natural language are inherently difficult or impossible for AI systems to replicate due to deep metaphysical distinctions.

Contribution

It introduces the concepts of 'productivity' and 'malleability' as key pragmatic features of natural language that challenge AI's ability to fully emulate human language understanding.

Findings

Pragmatic features like productivity and malleability are hard to capture in AI.

Deep metaphysical differences influence concept formation in natural vs. artificial intelligence.

Certain aspects of natural language may be inherently beyond AI's reach.

Abstract

In this talk, I argue that there are certain pragmatic features of natural language (that I will call 'productivity' and 'malleability', on top of syntactical generativity and semantical compositionality), which are not only hard, but even impossible to capture in an artificial language used by an AI system, and the reason for this is to be found in certain deep, metaphysical differences between artificial and natural intelligence, accounting for the differences in their respective processes of concept-formation.