Course Description
Examines the transformative field of generative artificial intelligence (GAI), offering an in-depth analysis of its development, diffusion, and global impact on economies, industries, and business organizations. Students will also learn about governance, cybersecurity, and privacy issues, along with associated ethical, environmental, and labor-related challenges. Prerequisite: Admitted to the M.S. in International Business, M.B.A., P.B.C. in Global Leadership and Strategy, or permission of the Program Director.
Syllabus
Student Learning Outcomes, Goals, Objectives:
Students successfully completing this course will be able to:
Knowledge of
- key principles and terminology related to generative artificial intelligence.
- advancements in GAI technologies and their applications across various industries.
- the transformative effects of GAI on economic structures, labor markets, and social dynamics.
- the factors influencing the adoption of GAI, including technological, regulatory, and societal barriers.
- implementations of GAI, such as ChatGPT and other large language models, and their implications for business and policy.
- the ethical, environmental, and labor-related challenges posed by GAI technologies and the best practices for addressing them.
Skills to
- critically analyze GAI applications and their effects on various sectors.
- conduct research on GAI trends, challenges, and solutions, utilizing academic and industry sources effectively.
- address real-world issues related to the adoption and implementation of GAI.
- formulate strategic recommendations for organizations to leverage GAI technologies effectively.
- interpret data and case study findings related to GAI to inform decision-making processes.
- effectively present findings and recommendations regarding GAI applications.
Competences to
- work collaboratively across disciplines to address challenges and leverage opportunities in GAI.
- make ethical decisions regarding the use and implementation of GAI technologies.
- adapt to the evolving landscape of GAI and its implications for various fields.
- understand the policy implications of GAI adoption and the role of governance in shaping its future.
- foster innovation by exploring new applications and methods for leveraging GAI in business and societal contexts.
- guide organizations in navigating the challenges and opportunities presented by GAI technologies.
Course Grading Information:
| Activity/Performance Measure | Percentage/Points |
|---|---|
| Online Participation and Contribution | 20% |
| Exam 1 | 15% |
| Exam 2 | 15% |
| Assignment 1 | 15% |
| Assignment 2 | 35% |
Grading Scale
| Percentage | Letter Grade |
|---|---|
| 95.5% - 100% | A |
| 92% – 95.4% | A- |
| 84.5% – 91.9% | B+ |
| 79% – 84.4% | B |
| 75% – 78.9% | B- |
| 71% – 74.9% | C+ |
| 67% – 70.9% | C |
| 63% – 66.9% | C- |
| 59% – 62.9% | D+ |
| 55% – 58.9% | D |
| 50% – 54.9% | D- |
| 0% - 49.9% | F |
Attendance/Participation:
Active participation in the online discussion forum is an essential part of this course. You are expected to log in regularly, review your classmates’ posts, and contribute thoughtful and substantive responses. The goal of the discussion forum is to extend course learning by connecting key concepts with current business issues, research, and real-world applications. Your contributions should demonstrate your understanding of course materials while encouraging meaningful discussion and enhancing the learning experience for your classmates.
Course Materials Purchased by the Students:
No course materials are required.
Scholarly Perspectives
This course engages diverse scholarly perspectives to develop critical thinking, analysis, and debate and inclusion of a reading does not imply endorsement.