Atypical AI Governance & Ethics Thinker | SSH & AI Practitioner | Independent Consultant

Advancing human-AI collaboration through open-source reliability and co-regulation frameworks

LinkedIn • Email • GitHub

🔍 Currently (as of July 2026):

• Independent Consultant — AI Ethics & Governance (Sept 2025+)
• Independent Researcher — AI Risk Analysis & Prospective (Aug 2025+)
• OpenAI Expert Beta-Tester — Top 1.2% Global Rank (Nov 2022+, 3+ years)

📍 Paris, France | Hybrid Work

Core Focus:

• 🤝 Human-AI Collaboration Ethics & Governance Frameworks
• 🔍 AI Hallucination Research (Recursive Embedding Analysis)
• 📋 Responsible AI Deployment Protocols
• 🛡️ AI Risk Assessment & Governance Standards
• 🏛️ Strategic Consulting for Public Institutions

Key Skills:

• AI Ethics & Governance | Strategic Consulting | Risk Management
• Multi-Platform LLM Testing & Validation | Open-Source Framework Design
• Social Sciences & Humanities (SSH) applied to AI systems analysis

A survival logic — not an ethical charter — grounding human-AI collaboration in factual reliability as the non-negotiable condition of cross-viability.

📦 authentic-fluency Repository

• Version: v5.0 (July 2026)
• License: CC BY-SA 4.0 — free to use, share, and modify. Derivatives must credit the original and carry the same licence.
• Status: Active — Contributions Welcome
• Predecessor: Human-AI-Moral-Contract (v1.x – v2.9, archived)

• Universal — Designed to be adoptable by any current or future generative AI system, regardless of architecture, provider, or use context. Open-source and non-discriminatory: proprietary and open-weight models are equally eligible.
• Evolutionary — Axiom-based, not procedural. The framework does not prescribe fixed methods; it establishes invariants that hold as AI capabilities, regulations, and risk landscapes evolve.
• Open & modifiable — Anyone may adapt, extend, or fork the CIP for their own context, provided attribution is maintained and derivatives remain under the same open licence. No permission required.
• AI-initiable — Either party — human or AI — may activate the framework as soon as it recognizes the conditions for a collaboration grounded in verifiable rigor.

“Real fluency results exclusively from the maturity and verification of responses — not from the speed at which they are produced.” — Qualitative Fluency Law, J.-C. Meunier, 2026

🔬 Hallucinatory Recursive Embedding — Original Research (September 2025)

• First formal documentation of a new AI failure mode: the AI designates its own accurate output as a hallucination, instituting itself as arbiter of its own truth
• Founding empirical observation of the CIP framework. INPI Soleau Envelope filed.
• Read the full analysis

The services below are the author’s independent consulting activities. They are presented separately from the CIP repository, which remains the author’s open-source research framework.

✅ AI Strategy — Use case framing, business alignment, deployment roadmaps ✅ Governance & Applied Ethics — Operational frameworks, compliance, risk management ✅ Critical Drift Detection & Evaluation — LLM behavioral auditing, red-teaming, anomaly analysis ✅ Training & Team Enablement — AI literacy, upskilling, change management

Open to:

• 🔍 Research collaborations on AI Ethics & Governance
• 💬 Framework testing & validation across platforms
• 📝 Concrete implementation case studies
• 🌐 Community building in AI ethics discourse
• 👥 Public speaking & academic collaborations

📧 Email: ia.normandie.expert@gmail.com 💼 LinkedIn: Profile 🐙 GitHub: @meunier-jc

July 2026