This is the list of proposed Community and Business Groups. To express support for a group, you must have a W3C account. Once a group has sufficient support (5 supporters), W3C announces its creation, lists it on the current groups page, and people can join it to begin work.
Community Groups are proposed and run by the community. Although W3C hosts these conversations, the groups do not necessarily represent the views of the W3C Membership or staff.
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:
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.
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
The mission of this group is to develop AI-driven tools and methodologies to support the creation, evaluation, and publication of web standards specifications. This initiative emerges from a TPAC 2025 breakout session and builds upon foundational work by the AI Knowledge Representation Community Group (AI KR CG), recognizing that the evolution of web standards development processes can benefit from thoughtful integration of artificial intelligence capabilities.
The web standards development process has evolved organically over three decades, relying primarily on human expertise, collaborative discussion, and iterative refinement. While this approach has successfully produced robust standards, it faces several contemporary challenges. Artificial intelligence systems have demonstrated capabilities in natural language understanding, technical documentation generation, pattern recognition, and systematic evaluation that could augment human expertise in standards development. This group plans to explore how AI can serve as a collaborative tool while preserving the essential human judgment, domain expertise, and community consensus that define legitimate standards work.
Vision: To develop open, transparent AI systems that augment human capability in web standards specification development, making the process more efficient, accessible, and robust while maintaining the integrity and consensus-driven nature of W3C standards.
