How can you harness AI in marketing while building trust and delivering lasting results?

Ethical AI in Marketing equips mid-career marketing professionals with the strategies, principles and tools to implement AI effectively and ethically. Whether you are launching your first AI initiative or optimizing existing programs, author Nicole Alexander provides a clear framework for developing innovative solutions that uphold brand integrity and drive competitive advantage.

Drawing on real-world examples from Ally, OSF Healthcare, Adobe and Ipsos, it explores how organizations at different stages of AI maturity navigate privacy challenges, governance requirements and audience expectations. You will learn how to:
- Develop AI strategies that align with brand values and long-term goals
- Apply governance frameworks to ensure ethical and compliant practices
- Leverage AI to deliver personalized experiences without compromising trust
- Optimize adoption by balancing innovation with responsible oversight

From navigating privacy considerations to developing governance frameworks, this book helps you apply AI with confidence, build credibility in your organization and advance your career impact in the evolving marketing landscape.

Themes include: AI strategy, ethical marketing, governance, personalization, innovation, trust building



Autorentext

Nicole M. Alexander is a leading voice at the intersection of marketing, technology, and AI ethics. With more than 25 years of experience, she has driven marketing across global organizations-including serving as Global Head of Marketing at Meta and Senior Vice President of Innovation at Ipsos-and now shapes future leaders as an adjunct professor at New York University. Nicole serves on the Board of Directors for The Loveland Foundation and on the Advisory Board for Per Scholas. She is based in New York.

Titel
Ethical AI in Marketing
Untertitel
Aligning Growth, Responsibility and Customer Trust
EAN
9781398622302
Format
E-Book (epub)
Veröffentlichung
03.08.2025
Digitaler Kopierschutz
Adobe-DRM
Dateigrösse
1.79 MB
Anzahl Seiten
288