1. A creator using AI heavily to generate content faces which practical copyright disadvantage compared to a creator who uses AI minimally?
Correct. The heavy AI-reliance paradox: the more AI does, the less legal protection the creator has. Minimal human contribution may mean the work is unprotectable from the moment it's created.
The key disadvantage is unprotectability. Work lacking sufficient human authorship enters the public domain — anyone can copy it. More AI means less protection, not more.
2. The lesson compares the "Role" component of a prompt to:
Correct. Role defines who the model should act as, which shifts its default register, vocabulary, and assumptions — for example, "You are a copywriter who specialises in B2B software."
Role is specifically about persona — who the model should act as — which in turn shifts its vocabulary, register, and default assumptions about the task.
3. Holly Herndon and Mat Dryhurst's Holly+ project introduced which specific new concept to AI music prompting vocabulary?
Correct. Herndon and Dryhurst introduced vocabulary like "breathy and intimate" or "operatic and powerful" to describe voice performance quality — a layer of specificity beyond genre and instrumentation.
Incorrect. Holly+ documentation introduced vocal character descriptors — emotional quality words for voice performances (e.g., "fragmented and hesitant") that add a new layer to music prompt specificity.
4. Which prompt component involves giving the model one or two examples of the output style you want?
Correct. Examples — also called few-shot prompting — involves including sample outputs in the prompt so the model can align to your target style.
This is the Examples component, also called few-shot prompting — and the lesson calls it "often the single highest-value addition to a prompt."
5. AI examples in drafts are described as "the most generic things" because:
Correct. AI examples are the first-search-result illustrations of a concept — the most commonly cited, therefore the least distinctive.
AI examples are the most common illustrations of any concept — first-search-result-level. Replacing them with examples from your own experience and reading is one of the strongest voice-injecting moves available.
6. A voice-preserving prompt should include which three components?
Correct. "You are a copy editor, not a ghostwriter" + constraints + specific task dramatically reduces unintended voice replacement.
The three components are: role definition ("copy editor, not ghostwriter"), constraint list (what not to change), and specific limited task (what to actually fix).
7. The U.S. Copyright Office's position on purely AI-generated images (no human creative choices) is that they are:
Correct. Without human authorship, there is no copyright, and the work goes directly into the public domain.
Not correct. The Copyright Office holds that purely AI-generated work lacks the human authorship required for copyright and enters the public domain immediately.
8. C2PA content credentials are primarily useful for creators because:
Correct. C2PA creates cryptographically signed provenance records — helping creators prove what they made and how. They are a documentation tool, not a scraping prevention or copyright transfer mechanism.
Not quite. C2PA credentials establish verifiable provenance — a record of creation that can support claims about who made something and how. They don't prevent scraping or change copyright ownership.
9. Penguin Random House's design studio required a minimum of how many iteration rounds before accepting AI-generated elements for production?
Correct. Their internal reviews showed outputs accepted after fewer than three refinement rounds almost always required significant post-production corrections — establishing three rounds as the minimum viable standard.
Incorrect. Penguin Random House required three iteration rounds minimum — fewer rounds consistently produced outputs that needed costly post-production fixes.
10. In the six-layer prompt anatomy, which layer addresses how the frame is arranged — e.g., close-up, bird's-eye view, rule of thirds?
Correct. Composition directs how the scene is framed — shot type, camera angle, and spatial arrangement of elements within the image.
Incorrect. The Composition layer handles framing — establishing shots, close-ups, camera angles, and how subjects are arranged within the frame.
11. The Books3 dataset, used to train several major AI models, was sourced from:
Correct. Books3 scraped ~196,640 books from Bibliotik without authorization and became a central exhibit in lawsuits by Sarah Silverman and others against Meta.
Books3 was sourced from Bibliotik, a piracy site — not any legitimate or licensed source.
12. Under U.S. copyright law, which element of creative work is NOT protectable?
Correct. Style, technique, and mood are not protectable — only specific expression is. This is both why style imitation has traditionally been legal and why AI "style copying" is legally complex.
Style cannot be copyrighted. Copyright protects specific expression — the particular words, melody, or image — not the general approach or aesthetic.
13. The "Explain, Then Edit" protocol creates value primarily by:
Correct. Seeing the reasoning lets you distinguish intentional voice choices from actual errors before any text is altered.
The protocol's value is the review layer: you see what AI would change and why, and can accept or reject the reasoning before any text is touched.
14. What was the Samsung ChatGPT incident primarily an example of?
Correct. Samsung engineers put proprietary semiconductor design information into ChatGPT during debugging — data that was retained by OpenAI. This became a canonical example of input data privacy risks in AI platforms.
Not quite. Samsung's ban resulted from engineers accidentally putting proprietary chip design data into ChatGPT — which stored it. The risk was data privacy, not copyright or hacking.
15. Which of the following best describes how to build defensible copyright protection for AI-assisted creative work under current U.S. doctrine?
Correct. Substantial human creative contribution — especially when documented — is the path to copyright protection under current doctrine. Selection, arrangement, editing, and rewriting all strengthen the claim of sufficient human authorship.
Human creative contribution — documented, substantial, and articulable — is what current doctrine requires. Rewriting, arranging, and editing AI outputs with your own creative judgment is the practical path to protection.
16. The WGA 2023 agreement with major studios did NOT include which of these provisions?
Correct. The WGA contract did not resolve copyright questions for AI-generated scripts — it protected writers from immediate harms (forced use, compensation reduction) while the legal framework continues to develop.
Copyright status of AI-generated scripts was not resolved by the WGA deal. The contract protected writers from immediate practical harms without addressing the deeper legal questions.
17. Clarkesworld's 2023 crisis illustrated that AI-generated stories were problematic primarily because:
Correct. Editor Neil Clarke described the AI stories as readable and complete — but without felt necessity behind them.
The stories were technically competent — they lacked the felt necessity of a specific person who needed to tell that story.
18. Which of the four injection points is described as "highest-leverage"?
Correct. AI almost always opens generically — making a specific, surprising personal opener the single highest-impact swap available.
The opening sentence is highest-leverage because AI defaults to generic contextual openers, making any specific personal replacement immediately differentiating.
19. The LAION-5B dataset, used to train Stable Diffusion, became newsworthy beyond copyright for which additional reason?
Correct. The CSAM finding illustrated that large-scale scraping without human review creates harms far beyond copyright — a powerful example of why dataset curation matters.
The Stanford Internet Observatory's finding about CSAM in LAION-5B showed that the problems with unreviewed scraping extend well beyond copyright infringement.
20. In the Universal Music Group v. Anthropic case (2023), what was the central allegation?
Correct. Song lyrics are short, repetitive, and highly distinctive — making them particularly susceptible to memorization and verbatim reproduction in AI outputs.
The lawsuit centered on Claude reproducing copyrighted lyrics verbatim — the memorization problem applied to a category of text (song lyrics) that is commercially valuable and easily identified.