ADAN 7500 Algorithmic Ethics and Governance - from traditional to AI/ML
This is a survey course of governance frameworks & techniques for algorithms that are used to make decisions within an organization or in servicing clients. The recent acceleration in the use of Artificial Intelligence (AI) and specifically Machine Learning (ML) techniques have introduced unique opportunities and risks that require governance to encourage their responsible and ethical use. We will start with the intent of governance, its roots, its current manifestations and identify trends that are shaping algorithmic decision-making governance with a focus on for-profit firms, mainly the US. Industries covered will vary but may include the Financial Industry, Healthcare, Manufacturing, Defense, and Biotech for illustrative examples.
Course overview
- Department
- Advancing Studies
- School
- ADV
- Credits
- 3
- Level
- Graduate
- Offered
- Periodically
Catalog details
- Prerequisites
- Restricted to Applied Analytics majors.
Course evaluations
- Course rating
- 4.33 / 5 · Very Good
- Instructor rating
- 4.40 / 5 · Very Good
- Terms evaluated
- 5
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Spring 2026 | Richard Mc Gowan | 4.2 | 3.9 | 4.3 | 4.4 | 4.1 | 4.4 | 4.4 | 4.3 | 4–6 hrs/week | 10 of 17 |
| Fall 2025 | Richard Mc Gowan | 4.9 | 4.8 | 4.7 | 4.7 | 4.6 | 4.9 | 4.9 | 4.9 | 1–3 hrs/week | 7 of 7 |
| Summer 2025 | Bing Zhou | 4.3 | 4.2 | 4.7 | 4.7 | 4.3 | 4.4 | 4.5 | 4.0 | 4–6 hrs/week | 11 of 13 |
| Fall 2024 | Richard Mc Gowan | 4.2 | 4.6 | 4.0 | 4.2 | 4.3 | 4.7 | 4.7 | 3.8 | 4–6 hrs/week | 13 of 17 |
| Summer 2024 | Bing Zhou | 4.3 | 4.5 | 4.8 | 4.8 | 4.2 | 4.5 | 4.6 | 4.0 | 7–9 hrs/week | 17 of 20 |