Ethical Ai in Marketing - Aligning Growth, Responsibility and Customer Trust

Seamlessly integrate ethical principles into your AI-driven marketing strategies to ensure sustainable growth and long-term success.

Sommario

Chapter - 00: Introduction: The Intersection of AI, Ethics and Marketing Section - ONE: Foundations of Ethical AI in Marketing Chapter - 01: Ethical AI in Modern Marketing Chapter - 02: Defining Ethical AI Principles for Marketing Chapter - 03: Human-Centered AI in Marketing Section - TWO: Turning Principles into Practice Chapter - 04: Navigating the Challenges and Seizing the Opportunities in AI-Driven Marketing Chapter - 05: The P.A.C.T Framework: An Ethical AI Marketing Toolkit Section - THREE: Building Consumer Trust Through Ethical AI Marketing Chapter - 06: Consumer Trust and Perception of AI in Marketing Chapter - 07: Ethical Consumer Engagement in AI Marketing Chapter - 08: Governance and Oversight for Ethical AI in Marketing Section - FOUR: Leading with Integrity and Future-Proofing Marketing Chapter - 09: Cultivating a Culture of Ethical AI Chapter - 10: The Evolving Landscape of AI Tools and Applications Chapter - 11: Navigating the Horizon: Continuous Learning and Adaptive Strategies Chapter - 12: Conclusion: A Call to Action for Ethical Leadership

Info autore

Nicole Alexander is a marketing leader and educator with over 25 years of experience driving growth, innovation and transformation. She is an Adjunct Professor at NYU, a Lecturer at Section School and a Board Member at Per Scholas. She has held prominent leadership roles, including Global Head of Marketing at Meta, SVP of Innovation at Ipsos and VP of Innovation for Greater China at Nielsen. Nicole holds an MSt in AI Ethics and Society from the University of Cambridge and an Executive MBA from TRIUM (NYU Stern, HEC Paris, LSE). She lives in New York, NY.

Dettagli sul prodotto

• Autori: Nicole Alexander, Alexander Nicole
• Editore: Kogan Page
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 03.08.2025
• EAN: 9781398622296
• ISBN: 978-1-398-62229-6
• Pagine: 288
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica; Scienze sociali, diritto, economia > Economia > Pubblicità, marketing; Artificial Intelligence, BUSINESS & ECONOMICS / Business Ethics, BUSINESS & ECONOMICS / Marketing / Industrial, Business ethics & social responsibility, Sales & marketing management, Business ethics and social responsibility, COMPUTERS / Artificial Intelligence / General, Sales and marketing management, COMPUTERS / Artificial Intelligence / Expert Systems