Spring 2027

Artificial Intelligence in Story and Screen

Examines how AI gains meaning through nonfiction and science fiction narratives, using close readings to explore how film, television, and other media shape perceptions of AI and humanity.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

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Lectures are mid-sized, with a median of 99 enrolled students in the recorded sections.

Section enrollment · Fall 2026 snapshot ↗

What you’ll be able to do

  • Explain how individual films, television, games, and other media texts function as literature to convey meaning about artificial intelligence.

  • Compare media narratives about artificial intelligence, identifying similarities and differences in structure, theme, style, genre, and other literary elements.

  • Explain the relationships between media texts and the historical and cultural contexts in which ideas about artificial intelligence have emerged.

  • Develop foundational skills in close reading, notetaking, and interpretation to critique media texts.

  • Develop foundational skills in the use of artificial intelligence tools in analyses of media texts.

Source: UW Guide

Grade history

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average GPA
letter grades

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Prerequisites

Course map

None

  • None
COMARTS 110

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Professors

Spring 2027

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Calendar & sections

Spring 2027

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Student experience

the class

Explore how artificial intelligence (AI) gains meaning through the stories we tell about it. Through close readings of both nonfiction texts and science fiction narratives, examine how our AI-driven culture is shaped by the media texts that structure, theme, and provide perspective on new technologies. Learn how film, television, and other popular forms of media narrative are powerful forms of literature that influence the development and understanding of AI technologies - and how those visions in turn shape our perceptions of humanity.

difficulty & workload

No workload feedback recorded.

Topics

  • Nonfiction texts and science fiction narratives about AI
  • Film, television, and popular media as literature influencing AI understanding
  • Historical and cultural contexts of AI ideas in media

Skills

  • Close reading, notetaking, and interpretation of media texts
  • Using artificial intelligence tools to analyze media texts
  • Comparing media narratives by structure, theme, style, and genre

Grades

Instructor

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Sources & history

UW–Madison

Catalog & offerings

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "3ad357da8b93f8945730644fe9a75ebfbb3cd163d279be5a5141a5a88cff19b8",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}