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Portfolio / Signature Assignment

Artifact 03 · Multimodal Argument

Drawing the Line: AI in the Anime Studio

A researched academic poster paired with a position reflection — students play fair broker of a live controversy, then become its advocate.

Poster + Reflection 25% of final grade Draft 11/1 · Final 11/8
Designer's Note (ENC 6813)

Delivered as a “midterm” in weeks ten and eleven, after nine weeks of anime reflections and in-class discussion of AI industry controversies. Built with the Knights Write Showcase in mind — having everyone make a poster in class is a great way to source strong submissions later. Two demonstration examples (one for, one against) were generated as teaching samples.

Assignment at a Glance

Two roles, one project.

Design a researched academic poster — built at full poster scale but delivered as a shareable digital file — that presents the strongest evidence-based arguments both for and against the use of artificial intelligence in the production of anime. Pair it with a 2–4 page position reflection where you stop being neutral, take a side, and defend it with textual evidence.

The poster asks you to be a fair broker of a live scholarly controversy — to research, organize, and cite it so a reader can follow the evidence without you standing next to them. The reflection asks you to be an advocate. Holding both roles in one project is the point: you cannot argue a position well until you can represent the opposing one honestly.

Why It Exists

Anime is in the middle of a real, unresolved fight about automation, labor, and art — an ideal case to test our mettle as rhetoricians.

Rhetoric is the art of using available means to make and assess arguments responsibly — especially when the stakes are real, the audience is informed, and the answer is contested.
Learning Outcomes

By completing this assignment, students will…

  1. Compose within the conventions of a scholarly multimodal genre — the research poster.
  2. Conduct and synthesize research on an emerging issue and make that research visible to a public-facing audience.
  3. Represent a contested pop-culture issue (anime) fairly before advocating a position within that conversation.
  4. Evaluate sources for credibility, bias, currency, and relevance.
The Controversy

Five pressure points to investigate.

Studios are already testing AI across the pipeline — automating in-between frames, painting backgrounds, upscaling footage, assisting coloring and compositing, and translating. Each use lands somewhere different on the spectrum from “helpful tool” to “threat to the craft.”

Pressure 01

Labor

Grueling schedules and low pay, especially for entry-level in-between animators. Does automation relieve overworked artists — or eliminate the jobs where new animators learn the craft?

Pressure 02

Artistry vs. Efficiency

Faster, cheaper production could enable more work and smaller studios — but critics argue it flattens distinctive styles and devalues human craft.

Pressure 03

Training Data & Consent

Generative models are often trained on existing artists' work. Who consented? Who is compensated? Why does this matter?

Pressure 04

Audience Reception

Specific releases using AI-generated art or AI-assisted localization have drawn notable fan backlash.

Pressure 05

Preservation

AI “upscaling” can restore aging anime that would otherwise degrade. The job: find specific statements, not “people say.”

The Deliverables

A poster and a reflection.

Deliverable 1Research Poster

The Research Poster

A balanced, well-sourced overview of the pros and cons of GenAI tools in anime production, in the genre of an academic research poster. Let the poster represent the controversy; resolve it in the reflection.

Required sections

  1. Title block — a title framing the issue or question, plus name and course.
  2. Introduction / Background — orient the reader and state the specific question investigated.
  3. The Case For & The Case Against — the core: each side, at least three cited, evidence-based claims.
  4. A visual / data element — at least one original chart, timeline, table, or annotated image.
  5. Discussion / Synthesis — where the weight of evidence sits and what stays contested. Don't declare a winner.
  6. References — a visible Works Cited block in the assigned style.

Content & design

  • Balanced: ≥3 pros and ≥3 cons, each a specific claim tied to a cited source.
  • Distinguish documented fact from interpretation; every claim traceable.
  • At least one piece of quantitative or comparative info shown visually.
  • Clear sectioned, modular layout (columns or grid); original composition.
Format & Tools

True poster dimensions (36×24 in landscape recommended). Submit a high-resolution PDF. Any tool is fine — tool choice is not graded; rhetorical and genre effectiveness is. GenAI may assist with design, but research claims must be verified and all GenAI use disclosed.

Deliverable 22–4 Pages

The Position Reflection

Not a neutral summary nor a personal journal — a short argumentative essay in which you take and defend a position, and reflect on how you built your poster.

Required moves

  1. Stake a claim. Open with a clear thesis — support or oppose. Conditional positions are welcome but must be specific.
  2. Argue with textual evidence. Tie every major reason to credible sources, integrated as quotation, paraphrase, or summary.
  3. Reflect on your process. Roughly the last half-page: what tools you used and why; any GenAI prompts, and whether you fact-checked their claims.
  4. Disclose all GenAI use — even if you used none, state so.

Format

  • 2–4 pages, double-spaced, 12-pt standard font, 1-inch margins.
  • Works Cited in MLA or APA (not counted toward the page total).
  • A creative title that signals your position.
Research & Evidence

Minimum six credible sources across the project — a mix of journalism/industry reporting, a creator/studio/labor perspective, and one that complicates your own view. Prioritize primary sources; evaluate each. Wikipedia, fan wikis, and AI chatbots may help you find sources but are not citable evidence.

Milestones

Three checkpoints.

11/1
Draft
Poster draft (all sections blocked in) + reflection outline, for peer review.
11/8
Final Submission
Polished poster and reflection.
11/15
Optional Revision
A chance to win back lost points.
Grading Rubric

100 points.

20

Argument & Position

A clear, specific, defensible stance, sustained throughout.

pts
20

Evidence & Sourcing

Credible, well-integrated, properly cited sources; counterargument engaged honestly.

pts
20

Research Quality & Source Evaluation

Credible, current, varied sources (≥6); evaluation evident; primary sources favored.

pts
10

Poster — Research Framing & Balance

Clear question; fair, specific, well-sourced pros/cons; legible at a glance and on close read.

pts
10

Poster — Design & Genre Conventions

Effective modular layout; contrast, alignment, proximity, repetition; self-contained, accessible, referenced.

pts
10

Reflection on Design Choices

A thoughtful account of how and why poster decisions relate to the argument.

pts
10

Mechanics & Format

Meets length, format, and poster-size specs; clear prose; correct citations.

pts
Example Artifacts

The genre, demonstrated — one poster for each side.

Two instructor-provided example posters and their paired reflections show the same controversy argued in opposite directions. Both keep the poster balanced; the reflection is where each takes its stand.

Disclosure

In keeping with the course's own commitment to technological disclosure, these two example artifacts were generated with AI assistance as teaching samples — shown to model the genre, not as work to be reproduced.

Example · Argues For

Relief or Replacement? Weighing AI's Promise for an Overburdened Anime Industry

Research poster · Jordan Lee · ENC 3375

Research question: Can AI tools relieve anime's labor crisis and sustain production without displacing the artists who define the medium?

The Case For PRO
  • Eases brutal overwork. Some studios push animators into 80–100-hour weeks; automating drudge tasks could return that time to artists.
  • Speeds repetitive labor. Interpolation tools such as CACANi report up to ~70% time savings on in-between frames.
  • Frees humans for authorial work. The director of Netflix's AI short framed it as letting animators focus on what only humans can do.
  • Supports a squeezed industry. Proponents argue AI helps small studios survive thin margins and meet surging global demand.
The Case Against CON
  • “Labor shortage” is disputed. Researchers counter there is “no shortage of labor in animation” — the real issue is pay.
  • Breaks the training pipeline. Entry-level frame work is how newcomers learn the craft; automating it risks a skills gap.
  • Devalues human craft. Miyazaki called AI animation “an insult to life itself”; many see it eroding artistry.
  • Consent & credit problems. Models are trained on artists' work, often without consent, and human credit is frequently erased.
Data element · Reported efficiency gains

Industry / vendor-reported ranges — treated as claims, not audited figures.

In-between framesup to 70%
Transitional tasksup to 55%
Background artup to 50%
Per-episode costup to 35%

Synthesis: The strongest objections target a business model, not the technology itself. Where AI automates drudgery under human direction — and pay, consent, and credit are protected — the evidence suggests it can ease overwork. The risk of replacement is real but best managed through fair wages and crediting, not by refusing useful tools.

Paired reflection · Position: For

“Let the Machines Do the Drudgery: The Case for AI in Anime Production”

Argues the industry should embrace the proliferation of AI tools because they can relieve a documented labor crisis and help sustain a financially strained art form — while conceding that consent, credit, and pay are real problems to be fixed directly rather than used as reasons to refuse useful tools.

Example · Argues Against

Craft, Labor & Consent: What Japanese Animation Stands to Lose to AI

Research poster · Sam Ortiz · ENC 3375

Research question: Does the spread of AI tools in anime threaten the labor, training, and craft that the industry depends on?

The Case For PRO
  • Eases brutal overwork. Some studios push animators into 80–100-hour weeks; automating drudge tasks could return that time to artists.
  • Speeds repetitive labor. Interpolation tools such as CACANi report up to ~70% time savings on in-between frames.
  • Frees humans for authorial work. The director of Netflix's AI short framed it as letting animators focus on what only humans can do.
  • Supports a squeezed industry. Proponents argue AI helps small studios survive thin margins and meet surging global demand.
The Case Against CON
  • “Labor shortage” is disputed. Researchers counter there is “no shortage of labor in animation” — the real issue is pay.
  • Breaks the training pipeline. Entry-level frame work is how newcomers learn the craft; automating it risks a skills gap.
  • Devalues human craft. Miyazaki called AI animation “an insult to life itself”; many see it eroding artistry.
  • Consent & credit problems. Models are trained on artists' work, often without consent, and human credit is frequently erased.
Data element · Pay by animation role, 2023

Average annual income, Japan, 2023 (¥ millions). The most automatable roles are the lowest paid.

In-between (dōga)¥2.63M
Key (genga)¥4.00M
Industry avg.¥4.56M
National avg.¥4.60M

Synthesis: Recent gains in animators' pay and hours came from labor regulation, competition, and insourcing — not from AI. Deployed as a cost-cut, AI removes the entry-level jobs where artists learn the craft and rests on uncredited work. The evidence suggests proliferation, as currently practiced, deepens the very labor crisis it claims to solve.

Paired reflection · Position: Against

“An Insult to the Work: Why Anime Should Resist the Spread of AI”

Argues the industry should resist the proliferation of AI tools — not because technology is inherently corrupting, but because, as deployed, it removes the jobs where artists are trained, rests on work taken without consent, and lets studios avoid the reform the industry truly needs: paying people.

A Few Tips

Craft notes from the assignment.

  • Keep the poster balanced anyway. You'll probably decide your position early; the tension between your private stance and a fair poster is what the reflection should explore.
  • Specificity wins. “Threatens jobs” is a label; “risks eliminating dōga roles where animators traditionally train” is a researched claim.
  • Design for the digital reader. Check every section is legible on a laptop, zoomed out and at full size.
  • Watch for accidental bias. Bigger headers, warmer colors, and top placement are arguments too — notice when your design takes a side you meant to keep off the page.
  • Cite the moment, not the mood. A datable studio announcement or a specific instance of audience reaction beats “fans were upset.”
Explore the source

See the full assignment & examples.

The complete assignment sheet, rubric, and both annotated example artifacts are in the original combined PDF.

Download the assignment (.pdf) Back to the syllabus