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.

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Requirements fulfilled

No source-backed degree requirement is attached to this course yet.

Official evaluation summary

4.33 / 5

Based on 58 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-08-02. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Bing Zhou
    Summer 2025, Summer 2024 · Official rating 4.38/5
  • Richard Mc Gowan
    Spring 2026, Fall 2025, Fall 2024 · Official rating 4.41/5

Sections

No current section details are available.