HUMAN-AI COMMUNICATION: SIGN INTERPRETATION CHALLENGES AND CONTEXTUAL UNDERSTANDING IN DIALOGUE
Description
This study presents an in-depth analysis of the sign interpretation mechanisms that are found within human and AI interaction using semiotics, cognitive and neurolinguistics, as well as pragmatics perspectives. Research conducted brings to light important critical issues such as the specificity of AI in syntactic and semantic text analysis, or issues regarding processing polysemous words and cultural codes, or even avenues through which AI can handle pragmatic intent interpretation. Particular emphasis is given to analyses of the issues related to cultural noise and intercultural communication problems in automated dialogues, along with their implications on the effectiveness of communication.
Files
165-167 Nariste A.pdf
Additional details
References
- 1. Bender, E. M., & Koller, A. (2020). Climbing towards NLU: On meaning, form, and understanding in the age of data. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 5185–5198.
- 2. Radford, A., et al. (2019). Language models are unsupervised multitask learners. OpenAI Blog.