Strategic Polysemy in AI Discourse: A Philosophical Analysis of Language, Hype, and Power
A recent study published on arXiv (2604.21043) investigates the deliberate use of language within AI discussions, concentrating on concepts such as "hallucination," "chain-of-thought," "introspection," "language model," "alignment," and "agent." The researchers contend that these terms demonstrate strategic polysemy, allowing for various interpretations that merge specific technical meanings with wider anthropomorphic implications. This linguistic adaptability influences the perceptions of AI systems among researchers, policymakers, funders, and the general public. The paper also presents the idea of "glosslighting," which refers to the technique of employing technically altered terms to trigger intuitive yet often deceptive associations while maintaining plausible deniability. The research delves into the institutional and discursive impacts of this trend in modern AI research and application.
Key facts
- Paper arXiv:2604.21043 analyzes strategic polysemy in AI discourse.
- Terms examined include hallucination, chain-of-thought, introspection, language model, alignment, agent.
- Strategic polysemy sustains multiple interpretations simultaneously.
- Semantic flexibility shapes understanding among researchers, policymakers, funders, and the public.
- Authors introduce the concept of glosslighting.
- Glosslighting uses technically redefined terms to evoke anthropomorphic associations.
- Plausible deniability is preserved through this linguistic strategy.
- The paper focuses on institutional and discursive effects.
Entities
Institutions
- arXiv