The archive provides Chinese and English research texts. Translations may be AI-assisted and may not yet have received independent human review. Consult the original-language sources alongside them.
CARFAC–RAAV’s 25 January 2024 publication advocates consent, credit, remuneration, training-work transparency and Indigenous cultural protection, reporting 15 Januarysubmission.
What changed
Recommendations published; prior submission is self-reported, not verified government receipt/adoption.
Advocacy, not adoption/ruling; survey figures are self-reported, not nationally representative or audited. Company/tool/legal claims unverified; modification metadata is not revision history.
Editorial research question
Editorial significance: links visual-art licensing barriers, collective negotiation, cultural rights and authorship without equating organisational advocacy with universal opinion.
This is an editorial interpretation or question, separate from factual statements.
Evidence & sources
CARFAC–RAAV’s 25 January 2024 publication advocates consent, credit, remuneration, training-work transparency and Indigenous cultural protection, reporting 15 Januarysubmission.
SRC-1738HTML 229–230 submissionbasis;265–295 recommendations; time datetime 2024-01-25
Case
Related documents
DOC-1664CARFAC–RAAV recommendations on AI and visual artistsCite this record
ANTI-AI ARCHIVE. “CARFAC–RAAV recommendations on AI and visual artists.” evt-0566. Include this page’s URL and your access date when citing.