01Web standardization
W3C
Web specifications, Web & AI group, on-device AI, accessibility and linked data work.
ORGANIZATIONS & ECOSYSTEM
The organizations shaping the AI Web
Standards, protocols, model distribution, research, evaluation and security. Organizations are described by their documented roles, without implying endorsement of WebAI.
ORGANIZATION MAP
Who develops the standards, tools and methods?
A directory of ecosystem contributors described by documented activity. Listing an organization implies no affiliation, partnership or endorsement.
02HTML standard
WHATWG
Stewardship of the HTML Living Standard and Web interface foundations.
03Internet protocols
IETF
Internet protocol development and interoperability specifications.
04Protocol ecosystem
MCP Project
Model Context Protocol specifications, documentation and tooling for data and tools.
05Agent interoperability
A2A Project
Specification, agent cards and task exchanges among agents.
06Content provenance
C2PA
Specifications for provenance and signed claims about digital media.
07Risk and measurement
NIST
AI risk-management frameworks and assessment methods.
08Application security
OWASP GenAI
Threat guidance including indirect prompt injection in model-based systems.
09Models and datasets
Hugging Face
Model and dataset hosting, cards, licenses and inference libraries.
10Benchmarks and evaluation
MLCommons
Collaborative efforts on AI benchmarks, datasets and measurement.
11Observability
OpenTelemetry
Open specifications for traces and metrics across complex applications.
12Data vocabularies
Schema.org
Structured types and properties describing authors, content and relationships between Web resources.
RESEARCHERS AND FOUNDATIONAL PAPERS
Trace contributions, not invented affiliations
These papers illustrate several historical research milestones. Names refer to credited authors; no involvement with or endorsement of WebAI is implied.
1989–1991
Tim Berners-Lee
Creation of the World Wide Web and the core mechanisms connecting documents.
2017
Ashish Vaswani et al
Publication of Attention Is All You Need, introducing the Transformer architecture used in many generative models.
2020
Patrick Lewis et al
Foundational work on retrieval-augmented generation for knowledge-intensive language tasks.
2022–2023
Shunyu Yao et al
ReAct: research combining reasoning traces and actions using external sources or environments.
2023
Rishi Bommasani et al
HELM: holistic evaluation methods for language model capabilities, risks and limitations.
CONTINUE THE REFERENCE
Connected evidence, not isolated pages
Use the encyclopedia to cross-reference concepts, explore technologies and inspect original sources before drawing conclusions.