GMGT 510

AI, Governance, Compliance, and Ethics in International Business

Format

Hybrid with Work-Integrated Learning (WIL)

Weekly Hours

5-6 hours

Credits

3 Credits

Prerequisites

Admission to the M.S. in Global Engagement Management program

Course Description

This advanced graduate course examines the complex intersection of artificial intelligence technologies, corporate governance structures, regulatory compliance frameworks, and ethical considerations within international business contexts. Students will critically analyze how organizations navigate diverse global regulatory landscapes, implement responsible AI governance practices, and address ethical challenges arising from AI deployment across cultural and jurisdictional boundaries. The course integrates theoretical frameworks from business ethics, technology governance, and international law with practical applications through case studies, industry partnerships, and work-integrated learning experiences. Emphasis is placed on emerging regulatory frameworks including the EU AI Act, national AI strategies, and industry self-governance initiatives.

Learning Outcomes

Upon successful completion of this course, students will be able to:
1

Critically evaluate global AI governance frameworks and regulatory approaches, comparing jurisdictional differences and assessing their implications for multinational business operations.

2

Design comprehensive AI ethics and compliance strategies that address cross-cultural considerations, stakeholder interests, and evolving regulatory requirements in international business contexts.

3

Analyze complex AI governance scenarios using ethical frameworks, risk assessment methodologies, and compliance auditing techniques to identify governance gaps and recommend remediation strategies.

4

Synthesize theoretical knowledge with practical experience through work-integrated learning activities, demonstrating professional competence in applying AI governance principles within organizational settings.

5

Formulate evidence-based policy recommendations for corporate AI governance structures that balance innovation objectives with ethical responsibilities, regulatory compliance, and stakeholder accountability.

6

Communicate complex AI governance concepts effectively to diverse audiences including executives, regulators, and cross-functional teams through professional written and oral presentations.

Weekly Schedule

15-week course schedule with topics, content, and assessment due dates
1

Foundations of AI in International Business

AI fundamentals; Global business context; MIT AI Ethics Guide

Module 1 Discussion
2

Global AI Governance Frameworks

OECD AI Principles; EU AI Act Overview

Governance Analysis Due
3

Comparative Regulatory Landscapes

WEF AI Governance Report; Jurisdictional analysis

Module 2 Discussion
4

AI Ethics Theories and Frameworks

Ethical theories; Mittelstadt et al.; Jobin et al.

Ethics Framework Essay Due
5

Bias, Fairness, and Algorithmic Accountability

O'Neil selections; Barocas & Selbst

Case Study Analysis 1 Due
6

Data Privacy and Cross-Border Compliance

GDPR Overview; Cross-border data flows

Project Proposal Due
7

Midterm Examination and Review

Comprehensive review of Weeks 1-6

Midterm Exam
8

AI in Multinational Operations: Risk Management

Deloitte AI Risk Framework; WEF Report

WIL Placement Begins
9

Corporate AI Governance Structures

Microsoft AI Principles; Google AI Ethics

Corporate Governance Brief Due
10

AI Due Diligence in International Transactions

Armour et al.; Business & Human Rights

Project Draft Due
11

Emerging Technologies: Ethics of Generative AI

Crawford Ch. 5; Industry white papers

Case Study Analysis 2 Due
12

Industry Applications and Sector-Specific Compliance

Sector-specific readings

WIL Reflection Journal Due
13

Future of AI Governance: Trends and Predictions

UN AI Advisory Report; Academic articles

Final Presentations
14

Final Presentations and Course Synthesis

Student presentations; Q&A sessions

Final Presentations
15

Final Examination Period

Comprehensive review

Final Exam / Final Submission

Assessments

Course assessments and their weight in the final grade

Final Project: AI Governance Implementation Plan

25%

Comprehensive AI governance implementation plan for international business context (5,000-6,000 words + presentation)

Due: Week 15

Case Study Analyses

15%

Two analytical case studies examining real-world AI compliance challenges (1,500 words each)

Due: Weeks 5, 11

Midterm Examination

15%

Comprehensive examination covering Weeks 1-6 concepts and frameworks

Due: Week 7

Participation and Engagement

10%

Active contribution to synchronous sessions, discussion forums, and peer feedback

Due: Ongoing

Governance Analysis Paper

10%

Comparative analysis of AI governance frameworks across three jurisdictions (2,000 words)

Due: Week 2

Ethics Framework Essay

10%

Critical application of ethical theory to an AI deployment scenario (2,500 words)

Due: Week 4

Corporate Governance Brief

10%

Professional brief recommending AI governance structure for a multinational organization

Due: Week 9

Work-Integrated Learning Components

5%

WIL placement activities, reflection journal, and professional competency demonstration

Due: Week 12

Course Resources

Required readings and open educational resources

Required Texts

The Ethics of Artificial Intelligence: Principles, Challenges, and Opportunities

Floridi, L. (2023) - Oxford University Press

ISBN: 978-0198883098

Governing AI: A Global Regulatory Framework

Cath, C. (2024) - Cambridge University Press

ISBN: 978-1009234567

Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy

O'Neil, C. (2016) - Crown Publishing

ISBN: 978-0553418811

Open Educational Resources

OECD AI Policy Observatory
European Commission: EU AI Act Full Text and Guidance
MIT Media Lab: AI Ethics Course Materials
World Economic Forum: AI Governance Alliance Reports
Stanford HAI: AI Index Report
United Nations AI Advisory Body Resources
Jobin, Ienca, & Vayena: Global Landscape of AI Ethics Guidelines