Ethical AI in Marketing
Aligning Growth, Responsibility and Customer Trust
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Beschreibung
Seamlessly integrate ethical principles into your AI-driven marketing strategies to ensure sustainable growth and long-term success.
The rapid evolution of AI presents marketers with unparalleled opportunities, but innovation inevitably invites scrutiny. To stay ahead, marketers must ensure their use of AI is both effective and ethical.
This practical book for senior marketing professionals and leaders is the perfect guide for those looking to embed ethical principles into AI-marketing strategies from the start. As AI becomes more prevalent and integral to marketing, there is an increasing need for marketers to ensure they're not falling short of data privacy principles, algorithmic bias or losing consumer trust. A complete guide that explores the opportunities and challenges presented to marketers by AI, this book enables marketers to implement AI in ways that not only comply with regulations, but also resonate deeply with their audience and their growing demand for ethical business practices.
From understanding the fundamentals of AI and ethics, to implementing and optimizing ethical AI in marketing strategies, Ethical AI in Marketing is designed to enable you to deliver AI initiatives that enhance rather than compromise your brand's reputation with real-world examples from companies such as Spotify, U.S. Bank and Axios. Covering topics such as how to deliver hyper-personalized campaigns that resonate with diverse audiences, using AI-powered predictive analytics to anticipate customer needs and behaviours without crossing ethical boundaries and how to pick the right tools that align with your ethical standards, this book is the ultimate guide to cultivating a culture of ethical AI throughout your marketing strategy.
Offers clear guidance on co-creating AI-powered marketing strategies that align with legal and ethical standards
Provides senior marketing leaders with practical integration strategies for incorporating ethical AI into existing marketing strategies
Discusses key areas of concern for marketers including algorithmic bias, transparency and data privacy
Explore real-world examples from companies such as Spotify, Ally Financial and Axios
Autor*in
Nicole Alexander
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.
Themen in »Ethical AI in Marketing«
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