The OmniPath Ecosystem

The OmniPath Ecosystem

Our interdisciplinary research framework addresses critical gaps in AI ethics and traditional knowledge protection through four integrated pathways. The OmniPath ecosystem represents a groundbreaking approach to ensuring AI systems respect cultural wisdom while providing fair compensation and privacy protection for knowledge contributors. Each pathway addresses specific challenges in the intersection of technology and traditional knowledge preservation. There will be 29 Pathways total.

  • A person creating traditional Aboriginal dot painting art on yellow canvas using a small brush. The artwork features intricate white, black, and pink patterns.

    EthnoPath

    Protecting traditional knowledge through quantum-enhanced AI digitization. We preserve cultural context and ceremonial significance while enabling ethical research collaboration. Privacy-preserving systems ensure indigenous communities maintain control over their sacred knowledge.

  • A digital representation of a DNA double helix made of green vines, adorned with pink and white flowers, set against a light background.

    GenomePath

    Bridging traditional medicine and modern genomics through cultural-aware AI analysis. Our bidirectional semantic bridge connects ethnobotanical wisdom with plant genomics, accelerating therapeutic discovery while honoring traditional knowledge contributions.

  • Bronze statue of Lady Justice holding scales and a sword, standing on a platform, cast shadows on a flat surface with a blurred background.

    BioPath

    Eliminating bias in therapeutic validation through SHAP-based AI correction. Our systems ensure traditional knowledge receives fair representation in scientific assessment, preventing algorithmic discrimination against indigenous healing practices.

  • A black padlock and a silver Bitcoin coin partially buried in sand, with a blue background.

    EquiPath

    Ensuring fair compensation for traditional knowledge contributors through blockchain-based attribution. Zero-knowledge proofs protect sensitive cultural information while guaranteeing transparent, equitable payment for knowledge use in research and development.