As generative AI influences modern marketing, organizations must balance innovation with responsible data practices and regulatory compliance. Privacy-first GenAI marketing ethics focuses on ensuring AI-driven personalization, content generation, and customer engagement strategies to protect consumer privacy, promote transparency, and uphold individual rights. With regulations and AI governance frameworks setting stricter standards for data collection and usage, businesses adopt ethical AI practices that prioritize consent, accountability, and fairness. By integrating regulatory compliance into the design and operation of GenAI marketing systems, organizations can build consumer trust, reduce legal risk, and create sustainable, responsible marketing strategies. Regulatory Compliance for Privacy-First GenAI Marketing Ethics explores how generative AI transforms digital marketing, especially personalization, targeting, content generation, recommender systems, and measurement. It examines the elevated risks related to privacy, consent, transparency, bias, manipulation, security, and legal compliance. This book covers topics such as ethics and bias, corporate finance, and policymaking, and is a useful resource for business owners, security professionals, marketers, engineers, academicians, researchers, and scientists.
