Public Beta 1.0
Alun

For cultural and art institutions

Institutional readiness before adoption

For leaders, programme teams, archive holders and commissioning teams preparing a consequential AI decision. Use this page before selecting a tool, approving a use, or releasing AI-assisted work.

Reusable tool / Version 0.1 / 25 August 2026

AI Decision Record

Copy this structure into a meeting note, policy paper or internal approval process. It supports accountability; it does not determine legal compliance.

Decision:

Purpose:

Institutional owner:

AI system or provider:

Inputs and affected cultural materials:

Authority and permissions:

Missing consent or cultural authority:

Required consultations:

Temporary controls:

Evidence reviewed:

Approval and decision maker:

Dissent:

Unresolved issues:

Next review date:

Decision workflow

What to establish before the next AI decision

  1. Name the decision.

    Define the specific programme, archive, commissioning or operational choice being considered.

  2. Define the purpose.

    State the cultural or operational need before selecting a tool.

  3. Identify the inputs.

    List works, archives, voices, metadata and community-held materials that may enter the system.

  4. Identify authority.

    Record who can authorize use and whose consent or cultural authority is missing.

  5. Assign an owner.

    Name the person accountable for the decision, documentation and later review.

  6. Identify consultations.

    Specify affected artists, communities, legal reviewers and technical specialists who must be heard.

  7. Set temporary controls.

    Pause or limit high-risk uses while rights, identity, personal data or authority remain unclear.

  8. Record the decision.

    Keep approval, dissent, evidence, conditions and unresolved issues together.

  9. Set a review date.

    Name when the institution will reconsider the decision and what new evidence could change it.

Institution monitor

Developments affecting institutional choices

Selected for implications across archives, commissioning, programmes, procurement and public accountability.

umg-elevenlabs-licensed-platform-2026-09-10Company announcementGlobal

Universal Music Group and ElevenLabs announce a licensed AI-music platform for participating artists and fans.

What changed
Universal Music Group and ElevenLabs announced a multi-year licensing and product-development agreement. They say a platform now in development will let fans create remixes, mashups and other interpretations from participating artists' music.
Why it matters
The announcement puts licensing, artist participation and fan-facing product design together at a major-label and AI-audio-company scale. It is a current private-market example to inspect, not a public standard.
Who may need to act
Artists and songwriters; Music companies and licensors; AI audio platforms; Fans and users
What remains uncertain
This is a joint company announcement. The platform is still in development; participating artists, rights terms, compensation arrangements, product safeguards and availability in Indonesia have not been publicly established.
Review
Verified 2026-09-14 · Next review 2026-09-21
komdigi-meaningful-ai-2026-09-04Official statementIndonesia

Komdigi says Indonesia is preparing a national AI roadmap and risk-based AI ethics regulation.

What changed
In a 4 September statement, Komdigi described the Roadmap 2026-2029 and risk-based ethics regulation as preparations, alongside principles including transparency, accountability and intellectual property.
Why it matters
The statement joins national AI capacity, governance and intellectual-property framing to the practical conditions in which music and creative tools will be adopted. It gives an Indonesia-facing governance signal without claiming a music-specific rule.
Who may need to act
Policy makers and ministries; Artists and cultural workers; Cultural institutions; Technology companies
What remains uncertain
The statement describes preparation and policy direction. It does not establish presidential determination, an enacted regulation, final legal text, sector-specific music rules or implementation responsibilities.
Review
Verified 2026-09-14 · Next review 2026-09-21
google-lyria-3-5-2026-09-04Product releaseGlobal

Google releases Lyria 3.5 in Gemini and its developer tools, expanding access to music generation.

What changed
Google says Lyria 3.5 is now available in the Gemini app, Gemini API, AI Studio, Google Vids and Flow Music, with new music-generation controls and broader access for users, artists and developers.
Why it matters
A major general-purpose AI platform is making a music-generation model available through consumer and developer channels at once, widening the practical questions around creative control, disclosure, rights and downstream distribution.
Who may need to act
Artists and cultural workers; Music technology companies; Platforms and developers
What remains uncertain
Google's announcement establishes product availability and stated capabilities. It does not establish how the tools will be used in Indonesia, what rights terms apply to every output, or a music-sector policy outcome.
Review
Verified 2026-09-14 · Next review 2026-09-21
socan-suno-lawsuit-2026-09-02Filed lawsuitGlobal

SOCAN says it has filed a legal action against Suno over alleged unauthorized use of music.

What changed
SOCAN says its claim alleges Suno's generative-AI platform reproduces and streams outputs that replicate works in its repertoire without consent or payment. The filing is an allegation, not a court finding.
Why it matters
The filing brings consent, repertoire use, compensation and remedies into a live cross-border music-rights dispute around a widely used generative-music service.
Who may need to act
Songwriters and composers; Music publishers and collective management organizations; AI music companies
What remains uncertain
This is SOCAN's account of a newly filed legal action. The claims have not been decided by a court, and the filing does not establish a general rule outside the case.
Review
Verified 2026-09-14 · Next review 2026-09-21

Readiness model

Five questions before an institution acts

  1. 01

    Purpose

    What cultural or operational problem is AI expected to address?

  2. 02

    Inputs

    Which works, archives, voices, metadata or community materials enter the system?

  3. 03

    Authority

    Who can authorize use, and whose consent or cultural authority is missing?

  4. 04

    Documentation

    Can the institution explain the source, process, human decisions and final output?

  5. 05

    Escalation

    Which legal, ethical or community questions require review before release?

Issue portfolio

Translate uncertainty into owned work

Each issue needs an institutional owner, evidence basis and explicit escalation path.

Under discussion

Training data and creator consent

Indonesia's copyright and AI policy processes are considering creator protection, but a detailed consent or opt-out mechanism is not yet confirmed.

Institutional question
What consent, opt-out, licensing and record-keeping mechanisms are workable in Indonesia?
Review date
2026-08-23
Under discussion

Copyright, licensing and compensation

Konferensi Musik Indonesia / Indonesian Music Conference 2025 publicly raised AI, copyright, royalties and ethics. The copyright amendment remains a draft process, not enacted law.

Institutional question
Who should license training use, how should revenue be allocated, and what role should collective management play?
Review date
2026-08-23
Under discussion

Transparency, disclosure and provenance

Emerging national AI policy emphasizes transparency and labelling, while binding music-specific requirements remain unconfirmed.

Institutional question
What information should be disclosed before an AI-assisted or AI-generated release reaches the public?
Review date
2026-08-23
Unresolved

Voice, identity and similarity

Draft-law reporting has raised human contribution and style imitation, but the official final text and remedies are not confirmed.

Institutional question
Which rights and remedies apply when an output imitates a performer's voice, likeness or recognizable style?
Review date
2026-08-23
Evidence needed

Creator livelihoods and changing practice

Indonesia lacks representative public evidence on musicians' actual AI use and economic effects.

Institutional question
What Indonesia-specific evidence should guide policy rather than relying only on global projections?
Review date
2026-08-23
Unresolved

Cultural data and communal expressions

Cultural-advancement law establishes public responsibilities, but no AI-specific cultural-data mechanism is publicly established.

Institutional question
Who can authorize AI use of traditional music and community-held cultural materials?
Review date
2026-08-23
Unresolved

Institutional responsibility and coordination

Cross-ministry national AI work and the convening role of Konferensi Musik Indonesia / Indonesian Music Conference are public; a formal music-AI coordination body is not.

Institutional question
Which institution coordinates, which institutions decide, and how are creators and cultural communities represented?
Review date
2026-08-23

Working principle

Adoption without institutional memory creates repeat risk.

Keep decisions, permissions, sources, dissent and unresolved questions attached to the work, not only to the people currently holding it.