BUSA471 - Artificial Intelligence Ethics for Business

BUSA471
Open Closing on January 10, 2026 / 2 spots left
Main contact
McGill University
Montreal, Quebec, Canada
Zihan Cai
Industry Liaison Officer
(18)
6
Timeline
  • January 21, 2026
    Experience start
  • January 23, 2026
    First meeting, Jan 22-30
  • February 24, 2026
    Second meeting, Feb 23-27 or March 9-13
  • March 31, 2026
    Final presentations, March 30, April 1 and 8
  • April 18, 2026
    Final report submission
  • April 19, 2026
    Experience end
Experience
2 projects wanted
Dates set by experience
Preferred companies
Montreal, Quebec, Canada
Any company type
Any industries

Experience scope

Categories
Artificial intelligence Operations
Skills
ethical ai ethical standards and conduct artificial intelligence
Learner goals and capabilities

In this project, students in groups of 4-6 assume the role of organizational consultants, providing advice on topics related to responsible AI and AI ethics such as: how to develop responsible AI policies, managing the ethical considerations related to an AI implementation, and addressing the impact of AI on the workforce. Students will work on a specific AI-related problem or topic of interest that you have articulated, providing you with their insights or suggestions. The projects give students an in-depth overview of the challenges involved in identifying and addressing the ethical implications of AI use in a business context as well as the implications for society. 

Learners

Learners
Undergraduate
Intermediate levels
30 learners
Project
7-10 hours per learner
Educators assign learners to projects
Teams of 5
Expected outcomes and deliverables
  • 10-12 minute presentation
  • written report
Project timeline
  • January 21, 2026
    Experience start
  • January 23, 2026
    First meeting, Jan 22-30
  • February 24, 2026
    Second meeting, Feb 23-27 or March 9-13
  • March 31, 2026
    Final presentations, March 30, April 1 and 8
  • April 18, 2026
    Final report submission
  • April 19, 2026
    Experience end

Project examples


  • Assessing the ethical implications of an AI-driven recruitment tool
  • Analyzing the impact of AI automation on employee roles
  • Creating guidelines for ethical AI use in customer data analysis
  • Evaluating the societal impact of AI in healthcare decision-making processes
  • Providing recommendations for ethical AI deployment in financial services
  • Designing a training program for employees on AI ethics and responsible use
  • Consulting on the ethical considerations of AI in personalized marketing strategies