AI Governance and Marketing Applications

This final unit synthesizes prior foundations to apply advanced AI tools across marketing functions—SEO, performance, personalization, and visual content—while addressing practical and historical context. Learners will focus on risk mitigation (bias, deepfakes, privacy, brand voice), legal/ethical governance, tool selection, and measurement to prepare for capstone implementation and real-world deployment.

Learning Objectives

• Analyze ethical, legal, and brand risks (including bias, deepfakes, privacy, and loss of brand voice) when deploying generative AI and recommend mitigation strategies aligned with regulations and brand guidelines
• Apply appropriate AI tools and prompt design techniques to create and optimize SEO, performance marketing, personalization, and visual assets while documenting tool selection rationale and expected ROI metrics
• Demonstrate the development and use of AI-aligned customer personas, synthetic customer panels, and behavior-simulation models for product customization and campaign planning that preserve inclusivity and customer trust
• Evaluate AI-generated campaign outputs and predictive models for accuracy, bias, privacy compliance, and user experience; adjust strategies to maintain human-centered interactions and measurable marketing outcomes