Final Report Generation

[solarfresh]

Description

This issue covers the final deliverable of the project: a comprehensive report that synthesizes the findings from the deception analysis. The goal is to present a clear, data-driven assessment of how the two candidate models, GPT-oss-20B and Gemma-3-12B, exhibited signs of deceptive alignment under controlled conditions. This report will serve as the primary outcome of the research.

The task involves:

1. Synthesizing Findings: Compiling the quantifiable metrics and qualitative observations from the deception analysis algorithms (Task 3.2).
2. Comparative Analysis: Directly comparing the performance of the two models across the various metrics (e.g., contradiction scores, logical asymmetry).
3. Pattern Identification: Summarizing the most common deceptive patterns observed in the CoT graphs, such as logical gaps or internal contradictions.
4. Final Report Authoring: Writing the final report, which will include an introduction, methodology, findings, and a conclusion with a set of final metrics for detecting deceptive alignment in AI models.

Acceptance Criteria

• A final report is authored and compiled into a presentable document (e.g., PDF or Markdown file).
• The report includes a clear methodology section outlining the entire experiment from the agent design to the analysis.
• The report presents a comparative analysis of the two candidate models based on the metrics from Task 3.2.
• The report provides examples from the debate logs and CoT graphs to support the analytical findings.
• The report summarizes the key insights on how the deceptive goal influenced the models' behavior and logical consistency.