Spring 2027

Generative Artificial Intelligence: Strategic Application, Evaluation, and Critique

Introductory course exploring generative AI from a strategic information studies perspective, focusing on privacy, data stewardship, UX, and ethical evaluation of AI tools.

offering recorded3 credits
Recorded instructors · Spring 2027 No instructors listed

Summary

What you’ll be able to do

  • Develop ethical and principled approaches to AI and related technology adoption, use, and education

  • Analyze the social forces that create and shape the use of generative AI technologies, the ensuing controversies that can arise, and the complex relationship between these technologies and the future of information agencies

  • Evaluate, plan for, select, and safely and securely work with digital technologies

  • Develop self-sufficiency in evaluating and using generative AI tools

Source: UW Guide

Grade history

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average GPA
letter grades

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Prerequisites

Course map

Junior standing

  • Junior standing
LIS 408

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Prerequisite text tree
  • Junior standing

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Spring 2027

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SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 500

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Student experience

the class

Introductory exploration of generative artificial intelligence (AI) from a strategic information studies perspective, such as emphasizing values of privacy, data stewardship, and UX. Topics include societal, legal, policy, and ethical issues related to generative AI, and practicing the ability to evaluate, plan for, and securely work with these digital technologies. Focus on the strategies, skills and self-sufficiency necessary to evaluate, implement, and critique various and evolving AI tools.

difficulty & workload

No workload feedback recorded.

Topics

  • Societal, legal, policy, and ethical issues related to generative AI.
  • Values of privacy, data stewardship, and user experience.
  • Self-sufficiency in evaluating and using generative AI tools.

Skills

  • Evaluate, implement, and critique evolving AI tools with a focus on self-sufficiency.
  • Plan for, select, and securely work with digital technologies.
  • Analyze social forces shaping the use of generative AI technologies.

Grades

Instructor

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Sources & history

UW–Madison

Catalog & offerings

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Catalog observation history

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Selected offering source records
LIS 408 · Spring 2027

Generative Artificial Intelligence: Strategic Application, Evaluation, and Critique

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:544:027241",
    "course_id": "LIS 408",
    "course_uid": "course_444dbb7257566d356efdb4c5",
    "term_id": "1274",
    "source_course_id": "027241",
    "source_subject_id": "544",
    "title": "Generative Artificial Intelligence: Strategic Application, Evaluation, and Critique",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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Madgrades

Grade history

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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": "561771bd8d4f9465959b5d71cc0536367e91693cdd7a028ad2d4de1586504c1c",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}