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Apple develops Apple Intelligence. For people who make writing, visual art and think it may have been used to train these systems: find others here, see what is known, and learn what you can do on your own.
What to do next
Pick the kind of work you make to see the matching guide. These categories filter content only; they never produce a separate count.
- All
- Writing / Books
- Art / Illustration
- Photography
- Music
- Film / Video
- Code
- Voice / Likeness
- Other / Not sure
Guides: what you can do on your own
- The material list: what the E numbers mean
- Record templates: ten blank notes you can copy
- SOP01 | Preserving the original work: writing, books, illustration, photographs
- SOP02 | Preserve what is in front of you first
- SOP03 | Save the full input, output and related conversation
- SOP04 | Build a comparison between the work and the output
- SOP05 | Produce fingerprints, record the process and back it up safely
- SOP06 | Organise existing publication, licence and rights records
- Code: what you can keep
- Film and video: what you can keep
- Music: what you can keep
- Not sure which category: start here
- Photography: what you can keep
- Illustration and visual art: what you can keep
- Voice and likeness: what you can keep
- Writing: what you can keep
Also available in another language (16)
- 材料清单:E 编号是什么意思 (Chinese)
- 记录底稿:11 份可以照抄的空白表 (Chinese)
- SOP01|保留原作品:文字、书、绘画、照片 (Chinese)
- SOP02|先保住眼前的现场 (Chinese)
- SOP03|保存完整输入、输出和相关会话 (Chinese)
- SOP04|制作原作与输出对照 (Chinese)
- SOP05|生成指纹、记保存过程并安全备份 (Chinese)
- SOP06|整理既有发表、授权和权利记录 (Chinese)
- 代码:你可以先保存什么 (Chinese)
- 影视:你可以先保存什么 (Chinese)
- 音乐:你可以先保存什么 (Chinese)
- 还不确定属于哪一类:从这里开始 (Chinese)
- 摄影:你可以先保存什么 (Chinese)
- 插画与美术:你可以先保存什么 (Chinese)
- 声音与形象:你可以先保存什么 (Chinese)
- 写作:你可以先保存什么 (Chinese)
What the rules say, country by country
Other people are asking the same questions you are. These pages set out what the rules actually say where you live, with the source for each one. Background, not legal advice.
- Canada: what the rules say
- China (mainland): what the rules say
- Spain: what the rules say
- European Union: what the rules say
- India: what the rules say
- Mexico: what the rules say
- United States: what the rules say
- 加拿大:规则概览 (Chinese)
- 中国内地:规则概览 (Chinese)
- 西班牙:规则概览 (Chinese)
- 欧盟:规则概览 (Chinese)
- 印度:规则概览 (Chinese)
- 墨西哥:规则概览 (Chinese)
- 美国:规则概览 (Chinese)
Cases and updates
- TED Entertainment voluntarily dismisses Apple YouTube-scraping suit weeks after surviving dismissal bid
- Judge denies Apple's motion to dismiss YouTube creators' DMCA scraping claim
- Apple files reply opposing Suno deposition subpoena; judge transfers motion to Massachusetts
- Authors file first amended consolidated complaint accusing Apple of willfully infringing millions of works to train Apple Intelligence
- Illinois journalists, podcasters and voice actors sue nine tech companies over alleged use of their voices to train AI
- Apple must face suit over YouTube scraping: judge denies dismissal bid
- Neuroscientists file class action accusing Apple of training Apple Intelligence on pirated books
- UK privacy watchdog secures AI company commitments on how personal data is used to train AI models
- Neuroscientists file class action accusing Apple of training Apple Intelligence on pirated books
- Apple to require "very explicit user action" for macOS Full Disk Access amid AI agent privacy concerns
- Judge hears Apple's motion to dismiss YouTube creators' AI-training class action; ruling pending
- Oct 1 hearing held on Apple's motion to dismiss YouTube-creators AI-training suit; motion taken under submission
- Shareholder derivative suit accuses Apple leadership of knowingly training AI models on pirated books and unauthorised YouTube videos
- Voice creators file BIPA suits against Apple, Amazon, Meta, Microsoft and others over AI voice-training data
Related reading (not about Apple)
- Suno asks court to compel Apple deposition over label licensing talks and streaming fraud in labels' training suit — Apple is the non-party whose deposition Suno seeks; the item makes no allegation that Apple used creators' work to train AI.
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