Artificial Intelligence and Linguistic Notation Survey

Take part in a survey on the use of Artificial Intelligence and Linguistic Notation. Your insights are valuable in understanding the challenges and opportunities associated with LLMs, particularly in areas requiring deep contextual and linguistic comprehension, such as bias identification and discourse.
This survey is part of a research initiative for the Conceptual Foundations of Artificial Intelligence at Adam Mickiewicz University. It investigates the potential consequences of using large language models (LLMs) in understanding complex linguistic phenomena. Your insights are invaluable in understanding the challenges and opportunities associated with LLM-driven annotation, particularly in areas requiring deep contextual and linguistic comprehension, such as bias identification and discourse.

Tags: Artificial Intelligence, Conceptual Foundations, LLMs, notation, linguistic, investigation, challenges, opportunities, understanding, complex, phenomena, contextual, comprehension, discourse, bias, identification, annotation, particularly, areas, annotation, LLM-driven