Article In: Pragmatics and Society: Online-First Articles
Pragmatics-zombies
Trust and communication in the age of artificial intelligence
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Abstract
This paper examines theoretical aspects of human-AI communication, arguing that current AI systems, or
‘pragmatics-zombies,’ can mimic human-like pragmatic competence without genuine understanding. While these systems are
increasingly adept at natural language interaction, their lack of subjective experience, intentionality, and embodied cognition
creates a fundamental trust deficit, particularly in high-stakes scenarios. We argue that forcing human-to-human pragmatic
frameworks onto these non-human entities is suboptimal, leading to issues in efficiency, robustness, and transparency.
To address this, we introduce the concept of ‘Abstract Pragmatics,’ a general framework that allows for multiple,
distinct pragmatic systems. We propose that instead of pursuing flawless mimicry of human communication, research should focus on
developing novel, alternative pragmatic systems specifically designed for human-AI interaction. This approach would prioritize
clarity, verifiability, and trustworthiness, fostering a more effective and reliable collaboration between humans and artificial
intelligence by acknowledging and adapting to the unique nature of the machine.
Article outline
- 1.Introduction
- 2.Can we trust the pragmatics-zombie?
- 3.Optimization: A delicate balance of constraints
- 4.Abstract Pragmatics and its multiple realizations
- 5.An outline of different pragmatics
- 6.Concluding remarks
- Notes
- Author queries
References
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