Semantics

The semantic categories theories have crucial implications for AI, especially in natural language processing. The Aristotelian model offers simplicity for AI categorisation but lacks the finesse to process nuanced data. On the other hand, the Prototype theory aligns with AI’s capacity to learn from examples and adapt but raises issues around ensuring AI’s interpretations are ethically and contextually aligned with human values.

As AI systems increasingly influence public discourse, the evolution of language semantics underscores the importance of designing AI with a nuanced understanding of semantic categories. This highlights the need for accountability and transparency in AI-driven decisions, ensuring they reflect ethical considerations and accurately capture the complexities of human language.