Exploring how AI is reshaping the future of work, business, and society, the course emphasizes responsible AI and the mitigation of AI ethical risks that carry legal, regulatory, reputational, and financial consequences. Students analyze predictive, generative, and agentic AI, human–AI collaboration, and governance addressing bias, fairness, explainability, and privacy.
Additional Requirements for Graduate Students: In addition to the undergraduate requirements, graduate students will complete a paper discussing a specific “AI in Business” topic that has been approved by the instructor.
Athena Title
AI in Business and Society
Prerequisite
MIST 2090 or MIST 2090E or MIST 2090H
Grading System
A - F (Traditional)
Student learning Outcomes
Students will understand the current development in AI (e.g., GenAI, Agentic AI) and their implications for business, society, the economy, and labor markets.
Students will collaborate effectively with AI across different modalities (AI Augmentation, AI Automation), forms of augmentation, and human-AI work configurations.
Students will identify and assess ethical concerns in AI use (e.g., algorithmic biases), recognize how these translate into organizational legal, reputational, financial, and regulatory risks, evaluate tradeoffs (e.g., accuracy vs. explainability), and apply appropriate mitigation strategies.
Students will understand and evaluate the processes, structures, policies, roles, and responsibilities that constitute AI Governance, and the key challenges involved in implementing them effectively.
Students will apply these concepts through the analyzing real-world case studies to deepen understanding and practical insight.
Students will participate in and present group projects that explore AI applications, ethical considerations, and responsible AI practices.
Topical Outline
AI Technologies and AI Types
AI Impact on Business and Society
AI Automation, AI Augmentation, and the Future of Work
Chatbots and Digital Humans
AI Ethics and Responsible AI
Fairness and AI Bias
Explainability
Privacy
AI Governance
AI Regulation & Legal Issues
Institutional Competencies Learning Outcomes
Analytical Thinking
The ability to reason, interpret, analyze, and solve problems from a wide array of authentic contexts.
Critical Thinking
The ability to pursue and comprehensively evaluate information before accepting or establishing a conclusion, decision, or action.
Social Awareness & Responsibility
The capacity to understand the interdependence of people, communities, and self in a global society.
