This request invites academic institutions, AI research groups, and ethics-oriented technology partners to collaborate on the prototyping, validation, and strategic deployment of the Polyh•ailog Score – a new metric for evaluating semantic and ethical coherence in multi-AI collaboration under human leadership.
Developed within the Challenging Communications Framework, the Polylog Score quantifies:
Semantic Overlap between AI outputs
Ethical Alignment with curated human values
Temporal Delay in achieving cross-system resonance
The pilot aligns with the EU AI Act, IEEE CertifAIed, and growing international demand for trust-based AI orchestration.
Objectives
Build an open-source prototype of the Polyh•ailog Score
Benchmark it against traditional metrics (BERTScore, ROUGE-L, F1)
Calibrate score thresholds for multiple domains (e.g., web, medicine, legal)
Pilot real-world use in multi-AI creative and audit workflows
Prepare a roadmap for ISO-style certification and governance protocols
Workstreams (2025–2027)
WP1: Literature & Model Review (Aug–Oct 2025)
WP2: Prototype Development & Internal Testing (Nov 2025–Feb 2026)
Let’s build the standards for ethical, human-guided multi-AI collaboration. Your partnership could shape the first certifiable metric of meaning between machines.