This investigation proposes replacing prompt engineering with semantic verification in AI systems, suggesting enhanced validity and scholarly integrity.
Key Points
The research aims to address the limitations of prompt engineering in AI by introducing a system-oriented framework for verifying generated information.
Analyzed current AI practices in prompt engineering.
Developed a system-centric orchestration architecture.
Outlined semantic verification protocols to prevent context drift.
Integrated Socratic friction to enhance user engagement during the generative process.
Identified prompt engineering as a source of epistemic fragility.
Proposed a new framework for active cognitive evaluation of AI outputs.
Demonstrated the importance of real-time interventions for user discernment.
Outlined a scalable blueprint for improving institutional AI policies.