Community & Business Groups

  • W3C Community Group for Ethical Presence Anchoring. Community Group

    (3 sponsors)

    The W3C Community Group for Ethical Presence Anchoring explores new approaches for privacy-preserving spatial context within the WebXR ecosystem.

    Our mission is to define and prototype consent-based, local-only anchoring methods that protect user dignity and autonomy while enabling immersive, emotionally meaningful XR experiences on the open web.

    The group will:

    • Develop open specifications for Passive Spatial Presence Vector (PSPV) and Presence Mesh Protocol (PMP) extensions for WebXR.
    • Establish ethical guidelines and technical safeguards for handling local spatial data, emotional context, and consent layers.
    • Collaborate with W3C, Khronos, and Open Metaverse Foundation participants to ensure cross-standard compatibility.

    Deliverables will include technical drafts, ethical design frameworks, and open-source prototypes demonstrating presence anchoring without cloud telemetry or invasive data capture.

    Especially welcome are developers, designers, researchers, and ethicists who believe immersive technology should serve human well-being and preserve personal sovereignty.

    Sponsors:
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  • Universal Health Data Schemas for Privacy-Preserving AI Community Group

    (3 sponsors)

    The mission of this group is to define a universal, modular, and interoperable set of data schemas for health information. Our goal is to enable the aggregation and utilization of data for medical research and AI training through privacy-enhancing technologies (PETs) like Zero-Knowledge Proofs (ZKPs), while ensuring patient control and consent via Verifiable Credentials (VCs).

    Scope and Problem Statement

    The development of robust medical AI is hampered by siloed, non-standardized, and sensitive health data. Current data formats are incompatible across institutions, and privacy regulations prevent the sharing of raw data, creating a significant barrier to collaborative research. This group will address this by creating schemas that transform health data into standardized, verifiable, and privacy-preserving assets.

    Key Deliverables

    • A core set of modular, extensible Verifiable Credential schemas for common medical data types (e.g., lab results, imaging reports, prescriptions, diagnoses)
    • Best practice guidelines for issuing these VCs from trusted sources (e.g., hospitals, clinics)
    • Specifications for generating Zero-Knowledge Proofs from these VCs to enable privacy-preserving queries and analytics
    • Use cases and implementation patterns for federated learning and AI model training using the proposed schemas and ZKP protocols
    Sponsors:
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    • Amir Hameed Mir's profile picture
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