Generation AI: Economy and Ethics

This unit examines the societal, economic, and business impacts of Generation AI on agribusiness management and marketing, emphasizing ethical, privacy, sustainability, and financial implications. Students synthesize previous technical and market skills to design responsible, adaptive strategies for AI-driven retail, finance, and workforce changes in the agricultural sector.

Learning Objectives

• Analyze ethical and technical risks of AI in agribusiness, including inherent bias, deepfakes, data protection, and the potential implications of advanced AGI, using real-world examples
• Evaluate economic and social consequences of AI adoption—such as job displacement, economic disparity, sustainability trade-offs, and shifts in consumer behavior—through case studies like fast fashion, subscription models, and DIFTI
• Apply AI-enabled marketing and retail concepts (e.g., creator stores, buying agents, membership models) to develop a responsible agribusiness marketing plan that balances growth, sustainability, and regulatory compliance
• Demonstrate financial planning and risk-management strategies for agribusinesses in a Generation AI economy by creating adaptation plans addressing banking innovations, investing trends, payment methods, macroeconomic shifts, and contingency scenarios