Course Description
AI applications impact the future of work and labor markets, how individuals interact with technology, the nature of commerce, and organizations’ interactions with their ecosystems. The course explores AI business applications and impacts; human-AI interactions, AI-augmented decision-making, and algorithmic aversion; and AI governance to address AI biases, fairness, accountability, security, 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
Grading System
A - F (Traditional)
Course Objectives
Concepts • AI Augmentation vs. AI Automation • Human-AI Interactions and AI Interfaces • AI Applications in Business • Bots and Social Bots • The Future of Work • AI and Decision Making • Algorithmic Biases, Transparency, and Decision Making • AI Governance • AI Accountability • Security and Privacy
Topical Outline
- AI Automation and AI Augmentation - Human-AI Interaction - AI Applications in Business o Robotic Process Automation o Cognitive Insight o Cognitive Engagement o Conversational Commerce o Social Bots - The Future of Work and Impact on Labor Markets - AI and Decision Making o Algorithmic Aversion o Algorithmic Transparency, Opacity, and XAI - AI Governance o AI Biases and Remedies o AI Fairness o AI Accountability o Security and Privacy - AI and Societal Impacts
Syllabus