Responsible AI & Organizational Impact

This unit examines practical, ethical, and organizational dimensions of deploying AI in business settings, including AI archetypes, failure modes, and human-in-the-loop strategies. Students will learn the Six Tenets of Responsible AI, assess tipping points for adoption, and prepare change-management and mitigation plans for real-world business and industry scenarios.

Learning Objectives

• Analyze the 10 AI archetypes and classify their strengths, limitations, and appropriate business functions using case examples from multiple industries
• Evaluate AI failure modes (the “Dumpster Fire”) and map identified risks to the Six Tenets of Responsible AI to recommend mitigation strategies
• Apply human-in-the-loop principles by designing at least two intervention points in an AI workflow that ensure accountability, quality control, and stakeholder oversight
• Demonstrate change-management and adoption planning by developing a concise implementation plan that addresses stakeholder communication, training, and the tipping points for AI integration in two business scenarios