Fall 2026

Introductory Artificial Intelligence (ai) and Data Ethics

PHILOS 244 introduces contemporary moral and political issues in AI and Data Ethics, integrating technical concepts with case studies on privacy, automation, and algorithmic justice.

offering recorded3–4 credits

Recorded instructors · Fall 2026 Edvard Aviles Meza Henry Curcio Kenneth Quek +4 more

Summary

1 / 7

Historical reviews of Burgandy Basulto: Reviewers characterize the workload as easy with lenient grading and extension policies, though one notes a final essay project requiring a choice between argumentative or media connection formats.

Grade history

average GPA
letter grades

A

AB

B

BC

C

D

F

All recorded terms · compare terms & instructors

Professors

Fall 2026

Edvard Aviles Meza

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Henry Curcio

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Kenneth Quek

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Liz Holmes

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Matthew Maxwell

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Patricia Yumbe Neri

No course-specific feedback yet.

Wenwen Li

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Historical instructors & teaching patterns

Historical reviews for Burgandy Basulto describe her as nice, knowledgeable, and a generous grader who is lenient with extensions. However, one reviewer found the class unengaging and the material self-explanatory, while another appreciated her helpfulness and the final project options.

BURGANDY BASULTO is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

Schedule loads here as you scroll.

Section	Mode	Enrolled / capacity	Waitlist
LEC 001	Classroom Instruction	141 / 141	11
DIS 301	Classroom Instruction	23 / 23	1
DIS 302	Classroom Instruction	22 / 23	3
DIS 303	Classroom Instruction	24 / 23	2
DIS 304	Classroom Instruction	26 / 26	3
DIS 305	Classroom Instruction	23 / 23	2
DIS 306	Classroom Instruction	23 / 23	0
LEC 002	Classroom Instruction	69 / 70	13
DIS 321	Classroom Instruction	23 / 23	10
DIS 322	Classroom Instruction	22 / 23	2
DIS 323	Classroom Instruction	24 / 24	1
LEC 003	Classroom Instruction	68 / 69	20
DIS 331	Classroom Instruction	23 / 23	3
DIS 332	Classroom Instruction	23 / 23	7
DIS 333	Classroom Instruction	22 / 23	10

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records

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Student experience

the class

Historical reviews for Burgandy Basulto describe the course as easy and lenient, though some find the material unengaging and basic, while others praise her knowledge and helpfulness.

Recent recorded grades — Fall 2025: 3.96 GPA, 98.3% A/AB (n=121 letter grades); Spring 2026: 3.94 GPA, 97.8% A/AB (n=138 letter grades).

difficulty & workload

Historical reviews of Burgandy Basulto: Reviewers characterize the workload as easy with lenient grading and extension policies, though one notes a final essay project requiring a choice between argumentative or media connection formats.

Historical reviews of Burgandy Basulto: Students report mixed experiences, with some finding the class unengaging and the professor's participation style annoying, while others appreciate her generosity and care for student learning.

Topics

Moral and political issues in AI and Data Ethics
Technical concepts: bias/variance tradeoff, reference class problem, inductive risk
Data and privacy
Impacts of automation on society
Use of algorithms in medicine and criminal law

Skills

Understanding technical AI concepts like bias/variance and inductive risk
Analyzing societal impacts of automation and algorithmic use in specific domains

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1283 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

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Selected offering source records

PHILOS 244 · Fall 2026

Introductory Artificial Intelligence (AI) and Data Ethics

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": "1272:736:027102",
    "course_id": "PHILOS 244",
    "course_uid": "course_d271e7d703bce2000629b9ba",
    "term_id": "1272",
    "source_course_id": "027102",
    "source_subject_id": "736",
    "title": "Introductory Artificial Intelligence (AI) and Data Ethics",
    "credits_min": 3,
    "credits_max": 4,
    "typically_offered": "Not Applicable"
  }
]

Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Model outputs & technical records

nvidia/Qwen3.6-35B-A3B-NVFP4

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": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "b9d5cb3d127b6bdd0bdce07742c945f36d2ab4d49922a69c1c679fb9db3ec6af",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}