ISRC–AAM–CID 1.0
AI Music Identification & Verification Framework
Introduced a three-layer framework connecting recording identity, AI involvement and digital content.
Read the 1.0 White PaperThe Australian AI Music Alliance is an Australian industry initiative with global engagement, advancing transparency, trust and responsible innovation in music.
We bring together creators, music and technology companies, researchers, industry organisations and other stakeholders to explore how artificial intelligence is changing music creation, rights, technology and the broader music ecosystem — and how the industry can respond in practical and responsible ways.
Our work spans AI transparency and trust, industry standards, creative innovation, education, community development and emerging commercial models. We support the development of practical frameworks and initiatives that help the industry better understand and communicate how AI is used in music, strengthen provenance and disclosure, and enable AI-related music information to become more transparent, interoperable and useful across the music value chain.
At the same time, the Alliance remains an active community for music creation, discovery and collaboration. Through showcases, discovery initiatives, education, industry engagement and partnerships, we help creators and organisations experiment responsibly with emerging technologies, share their work, connect with new audiences and turn innovation into real-world opportunities.
Our goal is to help build an open, responsible and trusted music ecosystem in the age of AI, where human creativity and new technology can grow together. The Alliance focuses on advancing transparency, collaboration and practical industry frameworks, while rights, licensing, eligibility and policy decisions remain with the relevant industry participants. Our role is to help make AI involvement declarable and interoperable, with verifiable provenance and supporting evidence where available.
To help build a trusted, open and globally connected music ecosystem where human creativity and AI innovation develop together responsibly.
Structured declaration and registration of AI contribution across musical works and sound recordings.
AI Music Identification & Verification Framework
Introduced a three-layer framework connecting recording identity, AI involvement and digital content.
Read the 1.0 White PaperWe have taken the lead in formulating and releasing the world's first set of industry standards for AI music.
Spotlighting popular hits and rising stars, while fully unleashing the creative expression and community impact of AI music
Establishing a globally unique and verifiable identity coding standard for AI music works, safeguarding creators' rights and interests
Providing clear evaluation standards for AI music works to ensure that every piece is fairly assessed across multiple dimensions
Enterprise APIs
Production-ready APIs for content creators, music libraries, distributors and labels — use one, or connect all three.
01 · Create
Add AI-powered music creation to your platform through one API, from prompts and lyrics to finished tracks.
Built for
AI apps, creator platforms, content studios & brands
Also supports
Games, advertising, brand marketing & edtech
02 · Identify
Register tracks with ISRC, AI contribution levels and content-linked identifiers — individually or at scale.
Built for
Music platforms, libraries, labels, competitions & catalogues
Also supports
Music charts & content aggregation platforms
03 · Disclose
Measure AI contributions, examine provenance and generate structured disclosures for music delivery.
Built for
Music distributors, record labels, DSPs & rights organisations
Also supports
Rights management bodies, music-tech service providers & library operators
Structured AI contribution declaration for music distributors and platforms — from AI disclosure to structured music metadata.
AI contribution, role by role.
Creators or rights holders declare how AI contributes across each creative role.
Provenance where available.
C2PA-compatible provenance can add information about how the content was created or processed.
Two domains. One structured result.
One call returns a scored AAM 2.0 record — AAM-Work and AAM-Recording — ready to map into your metadata.
Fits your existing upload flow.
A modular API or UI component that works alongside the metadata you already collect.
Built for industry workflows.
Designed for DDEX-compatible interoperability, working with existing identifiers and standards.
Example · AAM 2.0 Declaration
{ "aam_work": 50,
"aam_recording": 38,
"c2pa": "verified",
"ddex_ready": true }No proof, no value
Registered Songs

Professor, Ph.D. of Economics, AI & Digital Economy

Partner Operations, AI Transformation, Music Business
Bringing Together AI Music Pioneers to Advance the Adoption, Innovation, and Growth of AI Music.
Names listed in alphabetical order
AI music is an emerging form of music creation and generation that utilizes artificial intelligence technology. By leveraging machine learning, deep learning, and other advanced techniques, AI can analyse vast amounts of musical data, learning the structure, melody, rhythm, and other elements of music. Based on this knowledge, AI can then generate new musical compositions. AI music not only helps musicians speed up the creative process but also generates entirely new musical styles and ideas, bringing more possibilities to the music industry.

Suno's vision is for everyone to be able to create outstanding music in the future. Whether you're a shower singer or a chart-topping artist, Suno helps you turn your ideas into music and achieve your musical dreams, without needing instruments—just your imagination.
Listen to music created by artificial intelligence, experience the future trends in music, and explore the endless charm of AI music.
If you have any questions or suggestions regarding the Australian AI Music Alliance, or if you're interested in collaborating with us, please feel free to reach out. We look forward to working together to drive the development and innovation of AI music.
Sydney, Australia, 2000