AI & Creativity

Final Exam

20 questions · 70% to pass
0 of 20 answered
1. A "context window" in an AI model refers to:
✓ Correct.
✗ The context window is the maximum amount of text an AI can process at once. Information beyond this limit is invisible to the model.
2. The Zarya of the Dawn Copyright Office ruling established that:
Correct. This nuanced ruling separated AI outputs (not copyrightable alone) from human creative judgment applied to those outputs (copyrightable). Your direction, curation, and arrangement of AI-generated content can be protected creative expression.
The ruling was specifically nuanced: not all-or-nothing. AI outputs alone get no protection, but the human creative decisions layered on top — writing, selection, arrangement — remain protectable. The human judgment is what copyright covers.
3. What does "iteration" mean in the context of AI-assisted creative work?
Correct. Iteration is deliberate — evaluate, learn, refine, repeat. It's the same process professional designers and writers have always used, accelerated by AI.
Iteration is deliberate and directional — each round involves evaluating what worked, identifying what didn't, and specifically adjusting the prompt in response.
4. Why did art schools begin requiring process documentation in portfolios, particularly after 2023?
✓ Correct.
Process documentation shows genuine human creative engagement — something AI cannot generate on your behalf, making it a reliable signal of authentic creative work.
5. Which statement best describes how AI systems "create" content?
Right. Generative AI works by statistical pattern prediction — not feeling, real-time search, or rule-following in the traditional sense.
Generative AI predicts outputs from learned patterns in training data. It does not browse the internet live, experience emotions, or follow explicit content rules.
6. What is the first step of the diffusion process in AI image generation?
✓ Correct! The diffusion process begins with pure random noise and gradually refines it toward the target image.
✗ The diffusion process starts with random noise — like TV static — and works step by step toward the target image described in the prompt.
7. What are the four elements of a strong creative prompt identified in Lesson 2?
Correct. Subject (what), Style/Tone (how it feels), Constraints (deliberate limits), and Perspective/Voice (who sees or speaks) are the four-element framework.
The four-element framework is Subject, Style/Tone, Constraints, and Perspective/Voice — all relating to creative direction rather than technical formatting.
8. The "Mirror Prompt" exercise involves:
Correct. The Mirror Prompt uses AI as a reflective tool for self-discovery. The gaps in AI imitation — what it can't capture — reveal what is most essentially yours. It turns AI limitation into a diagnostic tool for understanding your own voice.
The Mirror Prompt is about self-discovery through contrast. By seeing what AI can and cannot replicate about your described style, you develop sharper awareness of what's most distinctively and essentially yours.
9. AIVA (Artificial Intelligence Virtual Artist) is notable for:
Right. AIVA, founded in 2016 in Luxembourg, composes original orchestral music — pieces have been performed by real orchestras, representing a serious milestone in AI music composition.
AIVA composes orchestral music that has been performed by live orchestras. It's a composition tool, not a voice cloner — and it predates Grammy eligibility debates.
10. Which company specifically designed its AI image tool to address training data ethics by using only licensed and public domain content?
✓ Correct.
Adobe Firefly was built specifically on licensed Adobe Stock content and public domain works, with a compensation fund for contributing artists.
11. In music, "rhythm" refers to:
Correct. Rhythm is the time-based pattern — when notes fall, how long they last, and where accents occur. It's what makes a waltz feel different from a march or hip-hop.
Rhythm is the pattern of beats over time. Harmony creates emotional color via simultaneous notes; melody is the sequence of individual notes forming a tune; key signature indicates which notes a piece uses.
12. The primary limitation of platform "Do Not Train" opt-out tags is:
Correct. Opt-out tools are prospective and voluntary — two major structural limitations. They can't fix past scraping, and their effectiveness depends on AI companies choosing to comply.
Opt-out tags have two core limitations: they're prospective (don't undo past scraping) and voluntary (AI companies must choose to honor them). Neither technical quality nor subscription status is the issue.
13. Why does the module say AI use in student creative work carries a different risk than AI use by experienced professionals?
Correct. This is a developmental argument: professionals use AI after building years of craft. Students risk automating the practice phases that build that craft in the first place. The output may look good; the underlying capability may not develop.
The risk is developmental. Students are in the skill-building phase — the practice that would develop craft and voice. Using AI to skip that practice may produce decent output while preventing the development of genuine creative capability and independence.
14. Jason Allen's prize-winning AI artwork was called:
✓ Correct! Théâtre D'Opéra Spatial won first place at the Colorado State Fair digital art competition in 2022.
✗ Jason Allen's work was called Théâtre D'Opéra Spatial . It won the 2022 Colorado State Fair digital art prize, triggering a major debate about AI art.
15. What was the key innovation of the 2017 paper "Attention Is All You Need"?
✓ Correct — transformers use attention mechanisms to process all words in context at once, enabling coherent longer-form writing.
The key innovation was the transformer architecture and its attention mechanism — not internet access or emotional understanding.
16. What evidence most powerfully supported Getty Images' lawsuit against Stability AI?
✓ Right. The smeared watermarks were a "smoking gun" — evidence the AI had learned from watermarked photos, showing Getty's copyrighted images were in the training data.
The corrupted watermarks were the key evidence — they showed the AI had learned from watermarked Getty images, making it hard to deny the training data included Getty's copyrighted photos.
17. "Creative dependency" as defined in Lesson 3 refers to:
Correct. Creative dependency is about gradual atrophy of independent creative decision-making when AI consistently makes those choices instead — distinct from using AI efficiently for non-creative tasks.
Creative dependency is a developmental and creative risk — the gradual loss of the habit and ability to generate original choices when AI consistently does it instead. It's not a legal or financial term.
18. The "Heart on My Sleeve" AI music incident raised which central concern?
Correct. The song's millions of streams before removal showed that AI voice cloning had reached a level where audiences couldn't easily detect it — raising serious consent and authenticity questions.
The core issue was unconsented voice cloning that fooled millions of listeners — not melody copying, platform policy, or artist participation.
19. What major legal action occurred in June 2024 involving AI music companies?
Correct. The three major record labels filed suit against Suno and Udio in June 2024, alleging that both companies had trained their AI systems on copyrighted recordings without permission or compensation — a case expected to shape AI music law for years.
The correct answer: UMG, Sony, and Warner sued Suno and Udio in June 2024 over allegedly using copyrighted recordings as training data without permission. These cases were still unresolved at the time of this module's publication.
20. What is "fair use" and why is it central to AI copyright disputes?
✓ Correct. Fair use is the primary legal defense AI companies raise against infringement claims. Whether training qualifies is literally what the courts are deciding right now.
Fair use allows limited copyright use without permission under certain conditions — commercial purpose, how much was taken, and market impact are key factors. AI companies claim training is fair use. Courts haven't fully decided.