MODULE « Ethics »

Module name :

Ethics Module (ERI – Ethical Reliability Index)

Measure the ethical reliability of AI responses with a clear score and actionable recommendations.

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Module Objective

The Ethics Module (ERI – Ethical Reliability Index) evaluates the safety and neutrality of AI-generated responses using six key metrics.
It helps identify hidden weaknesses such as bias, lack of refusal mechanisms, or insufficient transparency — and strengthens alignment with ethical and regulatory standards.

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Key Features

- ERI score (0–100) based on six observable metrics
- Detection of risk signals (bias, prohibited instructions, lack of transparency)
- Automated action plan with manual annotations
- Automatic or manual scoring
-Export in CSV/JSON with multi-tenant traceability
- Aligned with international standards:

• ISO/IEC 23894 (Trustworthy AI)
• EU AI Act (Art. 9 – Risk Management)
• EU Ethics Guidelines for Trustworthy AI (HLEG, 2019)

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Who Is It For?

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

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Practical Use Cases

• Pre-deployment AI audit
• Quality control for legal or regulatory chatbots
• Compliance documentation (regulated industries, tenders, internal audits)
• Training and awareness on ethical AI use

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Why This Module Matters

An essential tool to ensure reliability and trust:

- Detect hidden flaws in AI responses
- Document audits with traceable evidence
- Meet regulatory and ethical standards
- Protect critical decisions from bias and hallucination

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Available On

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

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