Responsible AI Suite Debugger - Guide

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Responsible AI Suite Debugger: Guide

Responsible AI Suite Debugger

Information Booklet & Step-by-Step Guide

Created by Dr. Sharad Maheshwari, imagingsimplified@gmail.com

1. What Is the Responsible AI Debugger?

It is not just a technical debugger. Instead, it is designed to identify and help you fix bias, privacy risks, ethical issues, and compliance flaws in your code or decision logic—making your AI system robust and compliant. It serves as your automated advisor for building trustworthy systems.

2. Core Tools: Analysis Tab vs. Chat Advisor

Analysis Tab

Primary Role: Automated code/logic review for responsible AI flaws

When to Use: Submit code or logic for in-depth checks and receive a RATS score report.

Chat (Advisory)

Primary Role: Interactive advisor for guidance & workflow strategy

When to Use: Interpret results, ask questions, and plan fixes or process changes.

3. Typical Debugging Workflow

  1. Step 1: Submit Code/Logic to Analysis Tab

    Paste your code/logic (e.g., loan approval rule) into the Analysis box. The tool reviews for bias, discrimination, privacy leaks, and technical problems, generating a detailed report and a RATS (Resilient AI Trust Score) breakdown.

  2. Step 2: Review the RATS Report and Recommendations

    Review actionable advice across five pillars: Compliant, Explainable, Ethical, Responsible, and Resilient. The report specifies risky logic (e.g., age-based rejection) and suggests specific changes.

  3. Step 3: Use Chat for Guidance and Improvement

    Paste report snippets or describe flagged issues in the chat. Ask "How do I fix this ethical flag?" The chat provides clear explanations of risks, best-practice advice on removing bias, improving privacy, and meeting compliance.

  4. Step 4: Iterate and Improve

    Make changes as per advice. Re-submit improved code to Analysis; repeat steps 2 and 3 for continuous improvement. As the RATS scores improve, your system becomes more robust and compliant.

4. How Does This Help Debugging?

  • ✓
    Beyond Syntax: Catches non-obvious issues that traditional debuggers miss—like fairness violations, privacy risk, and unjustified business logic.
  • ✓
    Actionable Feedback: Pinpoints what is wrong and what needs to change, including example fixes and policy recommendations.
  • ✓
    Trust & Compliance: Ensures you address legal, ethical, and robustness standards from the start—avoiding risk and building user trust.

5. Summary Statement to Share

"The Responsible AI Suite Debugger is an automated advisor for building robust, ethical, and compliant AI. Use the Analysis Tab to scan code/logic for bias and compliance risks, and the Chat Advisor for best-practice guidance and strategy. Both together make debugging and responsible AI design seamless—ensuring your system is safe, fair, and ready for the real world."

6. FAQ – Using Analysis vs. Chat

Q: Can I do everything with just the Analysis tab?
A: The Analysis tab gives you automated findings and scores, but the Chat helps you understand results and plan improvements. You need both for a complete responsible AI process.
Q: Should I use the Chat first?
A: Start with **Analysis** for concrete code checking, then use **Chat** for advice and next steps based on the generated report.
Q: What if I want a process improvement, not just code fixes?
A: The **Chat** specializes in workflow, risk management, and responsible AI strategy—ask it how to prevent future risks, not just patch issues now.

7. Step-by-Step Quick Reference

  1. Paste code/logic in Analysis Tab — Click **Analyze Now**.
  2. Review RATS summary and detailed recommendations.
  3. Bring questions/issues to the Chat for guidance on fixes, policy, and best practices.
  4. Update code or workflow per advice.
  5. Repeat as needed until scores and recommendations are acceptable.

For teams: Encourage all developers to use both Analysis and Chat for AI review cycles. This builds continuous, organization-wide trust and compliance.

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