Generative Artificial Intelligence: Strategic Application, Evaluation, and Critique

LIS 408 explores generative AI from a strategic information studies perspective, covering ethical, legal, and policy issues while teaching students to evaluate and implement AI tools.

offering recorded3 credits
Recorded instructors · Fall 2026 David McHugh3.4/5

Summary

Lectures are mid-sized, with a median of 51 enrolled students in the recorded sections.

Section enrollment · Fall 2026 snapshot ↗

Grade history

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Prerequisites

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Junior standing

  • Junior standing
LIS 408

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  • Junior standing

Professors

Fall 2026
/5Adjusted rating
/5RMP difficulty
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About this rating

Raw average: 2.00/5 from 3 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

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Historical instructors & teaching patterns

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Calendar & sections

Fall 2026

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SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction51 / 4515

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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

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Topics

  • Privacy, data stewardship, and user experience (UX) in AI.
  • Societal, legal, policy, and ethical issues of generative AI.

Skills

  • Evaluate, plan for, and securely work with generative AI technologies.
  • Evaluate, implement, and critique evolving AI tools.

Grades

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Sources & history

UW–Madison

Catalog & offerings

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LIS 408 · Fall 2026

Generative Artificial Intelligence: Strategic Application, Evaluation, and Critique

Recorded 2026-09-07
Raw records
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:544:027241",
    "course_id": "LIS 408",
    "course_uid": "course_444dbb7257566d356efdb4c5",
    "term_id": "1272",
    "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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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "c7c44d3e2e650cf55323e65d64dfd282f57d1d9346752266f73f59ef37b62598",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}