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Generative UI Community Group

Background

Recent progress in large language models and agent-based systems has enabled Generative UI, in which user interfaces are synthesized at runtime based on intent, context, and user needs rather than being pre-authored. As noted in the Web & AI Interest Group(Issue #3), this evolution raises new questions for the Web around interoperability, performance, accessibility, and alignment with existing concepts of the Web platform, motivating exploratory work within W3C to scope and better understand the associated design space.

Scope

The Generative UI Community Group will conduct exploratory work in the following areas:

  • Evaluation and performance: Explore how latency, responsiveness, and output quality of Generative UI can be characterized and assessed in Web-based environments, and identify potential gaps in existing W3C work.
  • Validation and testing: Study validation and testing approaches for Generative UI that go beyond traditional end-to-end testing, including the use of structured test cases and reference implementations.
  • Intermediate representations: Investigate the potential value of lightweight, cross-vendor intermediate representations or protocols for Generative UI to improve interoperability and model compatibility.
  • Alignment with the Web platform: Examine whether Generative UI systems benefit from a constrained or lightweight subset of Web technologies aligned with existing Web principles.

This group may publish Specifications.

w3c-cg/gen-ui
Group's public email, repo and wiki activity over time

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[Invitation] Hybrid Meeting: Generative UI and Web Skill

Event Introduction

With the rapid evolution of large language models (LLM), AI Agents, and generative artificial intelligence technologies, AI is deeply reshaping the Web technology system, application architecture, and user interaction modes. The World Wide Web Consortium (W3C) continues to study the broad impact of AI on the Web ecosystem, aiming to deeply explore the intersection of Web and AI at technological, social and ethical levels, and actively promote the vital role of Web standards in this evolutionary process.

This “Web AI International Standards Seminar: Generative UI and Web Skill” will focus on Generative UI, Web Skill, and related cutting-edge Web AI technologies, bringing together international standards communities and industry experts to jointly discuss standardization related topics such as interoperability, performance optimization, accessibility, privacy and security, verification testing, and synergy with existing Web platform technologies.

The event will focus on the performance evaluation and testing of Generative UI, intermediate representations for cross-vendor interoperability, adaptation of Web platform technologies, and the application value of Web Skill in skill discovery, dynamic loading, and front-end native execution. Concurrently, we will analyze the profound impact of AI on the Web from multiple dimensions including security, privacy, and accessibility, jointly charting the technological evolution blueprint of Web AI and future international standardization directions.

Conference Agenda

  • 1:30 – 1:40 Opening and Welcome
  • 1:40 – 2:10 Rethinking AI Phones and Conversational Interaction (Vic Yao, Tencent)
  • 2:10 – 2:40 Building Personal AI SaaS Services on the Web (Mo Chunhui, Huawei)
  • 2:40 – 3:10 Applying Generative UI in Search (Gao Jiexuan, Baidu)
  • 3:10 – 3:40 Towards a Quality Assessment Framework for Generative UI (Yan Jiadong, Huawei)
  • 3:40 – 4:00 Coffee Break
  • 4:00 – 4:30 Invited Talk (Speaker TBD)
  • 4:30 – 5:30 Panel Discussion

Basic Information

  • Date: September 6, 2026 (Sunday)
  • Venue: Sheraton Shenzhen Barlin Tianrui Hotel
  • Conference Organizers: China Computer Federation (CCF), Guangdong-Hong Kong-Macao Greater Bay Area Standard Innovation Alliance
  • Session: World Wide Web Consortium (W3C) and W3C Representative Office in Shenzhen
  • Format: In-person seminar and online linkage

Participation Guide

This event is free and open to W3C member organizations, Generative UI CG participants, and invited guests. Due to limited seating, please register at your earliest convenience

Registration Entrance: https://labs.w3.org/beihang/signup/web-ai-ccf-shenzhen-2026-09 (Please specify whether you will attend in person)

Venue Information

Venue Location: Sheraton Shenzhen Barlin Tianrui Hotel

Venue Guide: To be updated

Remote Access: Please register via the [Registration Link] or contact the secretariat directly at team-beihang-events@w3.org

Participation Assistance

For more conference details or related inquiries, please contact us via <: team-beihang-events@w3.org>.

About This Event

This event is a sub-forum of the “2026 CCF Standards Conference y and The 5th Guangdong-Hong Kong-Macao Greater Bay Area Standard Innovation Seminar”. The main conference is jointly hosted by the China Computer Federation (CCF) and the Guangdong-Hong Kong-Macao Greater Bay Area Standard Innovation Alliance, with the theme being “Digital Intelligence Innovation, Standard Empowerment.”

Conference Website:https://conf.ccf.org.cn/web/html5/index.html?globalId=m1532751696235728896178547808153&type=1

Call for Participation in Generative UI Community Group

The Generative UI Community Group has been launched:


Background

Recent progress in large language models and agent-based systems has enabled Generative UI, in which user interfaces are synthesized at runtime based on intent, context, and user needs rather than being pre-authored. As noted in the Web & AI Interest Group(Issue #3), this evolution raises new questions for the Web around interoperability, performance, accessibility, and alignment with existing concepts of the Web platform, motivating exploratory work within W3C to scope and better understand the associated design space.

Scope

The Generative UI Community Group will conduct exploratory work in the following areas:

  • Evaluation and performance: Explore how latency, responsiveness, and output quality of Generative UI can be characterized and assessed in Web-based environments, and identify potential gaps in existing W3C work.
  • Validation and testing: Study validation and testing approaches for Generative UI that go beyond traditional end-to-end testing, including the use of structured test cases and reference implementations.
  • Intermediate representations: Investigate the potential value of lightweight, cross-vendor intermediate representations or protocols for Generative UI to improve interoperability and model compatibility.
  • Alignment with the Web platform: Examine whether Generative UI systems benefit from a constrained or lightweight subset of Web technologies aligned with existing Web principles.

This group may publish Specifications.


In order to join the group, you will need a W3C account. Please note, however, that W3C Membership is not required to join a Community Group.

This is a community initiative. This group was originally proposed on 2026-01-29 by Ruoxi Ran. The following people supported its creation: Raphaël Troncy, Chunming Hu, Xiaoqian Wu, Ruoxi Ran and Hai Rao. W3C’s hosting of this group does not imply endorsement of the activities.

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W3C Community Development Team