Proxy Drift: When Process Transparency Fails to Guarantee Artifact Integrity in AI-Mediated Research Systems

Key Points

• The aim is to investigate the reliability of AI outputs despite apparent clarity in reasoning processes.
• Analyzed the transparency of AI reasoning in research contexts
• Examined instances of incorrect outputs despite transparent processes
• Proposed frameworks for verifying AI-generated results
• Found that clear reasoning does not guarantee accurate outputs from AI
• Identified a need for systematic checks in AI research tools
• Suggested that future AI systems require built-in verification mechanisms to enhance output integrity