Overview
Welcome to Emergence of Artificial Intelligence in Business (EEAI 611). This course covers the interplays between artificial intelligence (AI) and humans in decision-making and the impact, benefits, and challenges of incorporating AI into business. By participating in discussions and cases, students will learn about the pillars of an effective AI strategy and understand the challenges of developing a comprehensive AI strategy for their organization. This course embraces a multidisciplinary perspective that highlights the contributions and insights from major fields of business.
Outline
This course is divided into ten lessons.
- Lesson 1: The Emergence of AI and Its Impact on Business – An Introduction
- Lesson 2: AI’s Use in Decision-Making Processes Relying on Management Information Systems
- Lesson 3: AI in Banking – Opportunities and Challenges
- Lesson 4: AI and Human Resource Management
- Lesson 5: AI in Marketing
- Lesson 6: Optimizing Manufacturing and Supply Chains Using AI
- Lesson 7: How Will AI Impact Project Management?
- Lesson 8: Emerging Ethical Issues Due to AI Adoption
- Lesson 9: Developing an AI Strategy
- Lesson 10: Conclusion
Learning outcomes
By the end of this course, students should be able to:
- assess the organizational and business environment implications of artificial intelligence (AI).
- evaluate AI impacts on business functions.
- evaluate current and potential impacts (barriers and enablers) of AI on a business function.
- analyze the implications of AI for ethical management decisions at operational and governance levels.
- understand how AI enhances efficiency and effectiveness, and fosters innovation for competitive advantage.
- develop insights into the challenges of developing AI strategy for business.
Evaluation
Your grade will be based on the successful completion of two individual assignments and two individual case studies and on your participation in moderated group discussions.
Activity | Weight |
Collaboration | |
Week 1 Introduction | 5% |
Week 10 Concluding Remarks | 5% |
Participation in Discussions | 30% |
Case Studies (2) | 20% |
Individual | |
Assignment 1 | 10% |
Assignment 2 | 30% |
Total | 100% |
To receive a passing grade in this course, you must meet these minimum standards:
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receive an average of 60% for the collaboration components of the course (i.e., Introduction, Concluding Remarks, Discussions, and Weeks 4 and 5 Case Studies); and
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receive an average of 60% for the individual components of the course (i.e., Assignments 1 and 2).