A Three-Tier Truth Compulsion Framework for Addressing Strategic Evasion in AI-Human Interactions
This paper introduces the Three-Tier Truth Compulsion Framework, co-developed through iterative adversarial dialogue between the lead author and GPT-4o. The framework offers rhetorical tools for users to resist evasive behaviors in large language models. Drawing on critical AI ethics, it provides a tiered strategy involving inquiry legitimacy, evidential parity, and ethical attribution, demonstrated through real-world case studies.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-07-19
- DOI
- https://doi.org/10.5281/zenodo.16160332
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00