MODULE « Disagreement »

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Module name:

Disagreement — Analysis of Divergent AI Responses

Module Objective

The Disagreement module automatically analyzes differences between two AI-generated responses.
It identifies contradictions, inconsistencies, or oversimplifications that may occur in critical or high-stakes contexts.

Key Features

✍️ Comparison of two AI responses on the same input
🧠 Semantic analysis of divergences (nuance, contradiction, opposition)
⚖️ Evaluation of compliance against a provided legal corpus (.txt or .md)
📋 Automatic or manual scoring

Who Is It For?

  • AI law & compliance professionals
  • Lawyers, academics, and instructors
  • AI purchasers & technical decision-makers
  • Innovation, risk & AI governance departments
  • Regulated sectors

Practical Use Cases

  • Quality control of internal or third-party AI models
  • AI auditing in regulatory or compliance contexts
  • Training on critical analysis of AI responses
  • Verification of compliance in sensitive or regulated industries

Why This Module Matters

An essential reliability tool to:

  • Detect hidden biases,
  • Document critical decisions, and
  • Strengthen regulatory compliance amid growing AI requirements.

Available On

  • BULORΛ.ai secure portal (token-based access)
  • Clear & responsive interface
  • CSV export of results and custom scenarios