AI's Influence on Socially Constructed Kinds

The proliferation of large language models (LLMs) using natural language understanding (NLU) to engage human interaction with computer programs has captured the public's imagination. The results have been a reallocation of corporate monies, broad-scale labor, and the re-emergence of the term artificial intelligence (AI) as a centerpiece for achievement. Nevertheless, while corporations move fast to discern how they may introduce and integrate AI, many are not asking about the effects of implementation or, more importantly, if they should. AI interfaces intentionally blur recognition whether the listener is engaging in dialogue with a human capable of moral agency or a computer responding under established pattern models. In particular, when AI is wrong, it is assuredly wrong: it confidently delivers authoritative inaccuracies and judgment. By assessing current implementations of LLMs using NLU, I will demonstrate the inconsistent results of contemporary views, which produce increased stigmatization surrounding social issues and amplify the capricious nature of interactive kinds.