how to avoid copyright issues on your book with ai

Main ideas / lessons

• AI use for books must avoid copyright infringement. The creator frames the goal as using AI to assist or improve work you already own or control, rather than reproducing or closely mimicking another author’s protected expression.
• AI law is moving faster than legislation. There are increasing discussions about misuse (e.g., deepfakes, fraud) and the need to regulate or address harm.
• Styles/tropes are treated differently than protected content. The video emphasizes that you generally can’t copyright a style (e.g., art movements like “Cubism” / “Abstractism”), but you also shouldn’t use prompts that directly target specific protected brands/works.
• You can protect yourself by creating your own material and using AI in specific safe roles. The speaker presents three ways to do this.

Methods: three ways to avoid infringing

1) Use AI to enhance your own existing content (create → improve → disclose)

• Start with content you already created.
  • Examples mentioned: your manuscript, ideas, or early drafts.
• Feed your existing work into AI (e.g., ChatGPT, Claude, or “Grok”) and ask it to:
  • Enhance what you already wrote
  • Find holes or weaknesses
  • Improve quality rather than generating from someone else’s copyrighted text
• Transparency/disclosure for copyright purposes
  • When applying for copyright, you must disclose how the work was generated/created (including AI assistance).
• Amazon/KDP disclosure becomes more granular
  • The speaker notes Amazon increasingly asks whether content is AI generated/assisted, and requests detail on:
    • Images (and whether they were edited)
    • Text
    • Translations
• Practical example (resume)
  • A friend uploads their resume to ChatGPT and asks it to act like a recruiter to identify why they aren’t getting hired.
  • After revisions and applying broadly, they allegedly received 6–7 offers within a week.

Key principle: Use AI as an editor/reviewer/improver of your material, not as a replacement that reconstructs someone else’s protected work.

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2) Use AI for aggregation / research with proper sourcing (gather → credit → document)

• Use AI as a research assistant to aggregate information and market research for your book.
• Ask for citations/sources
  • The speaker suggests requesting that AI site sources, similar to how books use an index and citations.
• Give credit to original creators
  • Properly attribute information you gathered so you’re not presenting others’ work as your own.
• Optional escalation: copyright registration
  • The video claims the speaker’s attorney noted you can apply on the official copyright website (mentions a $65 fee) to copyright your manuscript (as part of protecting your own work).

Key principle: Aggregating information is framed as safer when you cite and credit sources and still create the book’s original expression yourself.

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3) Use AI for brainstorming and ideation from your own concept (outline → expand → build a book catalog)

• Brainstorming should be grounded in your existing idea and inputs
  • The speaker stresses you’re not asking AI to create a book “out of thin air.”
• Use AI to develop outlines and complementary ideas
  • Ask for outlines, new angles, themes, and problems to solve that align with the book’s niche.
• Use conversational memory (paid version) to accelerate production
  • The speaker mentions using the paid ChatGPT version to maintain context and speed up work.
• Book brand / catalog strategy
  • The speaker references prior content: building a book brand using:
    • Substitutes
    • Close match
    • Loose match
    • Compliments
  • AI helps tailor content more directly to the target audience when you provide what already “worked.”
• Workflow using your own sales data
  • The speaker suggests:
    • Screenshot your Amazon page and/or KDP backend report
    • Feed that into ChatGPT
    • Ask it to generate 5–7 additional books the customer would appreciate
    • Consider different angles, themes, and problems

Key principle: Use AI to generate new ideas and structures that stem from your existing performance data and your own creative direction—rather than copying another author’s narrative, characters, or plot.

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Speakers / sources featured (all mentioned)

• Elon Musk
• Sam Altman (OpenAI co-founder)
• A judge / judiciary committee (referenced as part of a hearing; not named)
• David (a “best-selling author” mentioned—last name not provided)
• ChatGPT (mentioned as a tool)
• Claude (mentioned as a tool)
• Grok (mentioned as a tool)
• Amazon (KDP/Amazon disclosure process mentioned)
• Pocket Cancel (named as a program associated with the speaker’s copyright attorney)
• The speaker’s copyright attorney (not named)