Artificial intelligence is reshaping marketing - and with it, the language we use to connect, convert, and cultivate trust. In this episode of CMOs Unscripted, host Lisa Martin sits down with Emily Foley, Chief Marketing Officer of Cisco Capital, to explore the subtle but powerful influence of words in AI model training.
Together, they unpack how marketers can leverage tone, empathy, and intentional language to train AI responsibly and reduce bias. Emily shares real-world examples from Amazon, IBM, and Google, as well as Cisco’s own ethical frameworks for inclusive AI development. From behavioral intent prediction to human-centered personalization, this conversation is a compelling reminder: marketers don’t just feed the models—they shape them.
Key Takeaways:
AI as a Marketing Force Multiplier: Hyper-personalization, dynamic recommendations, and behavioral intent mapping are revolutionizing customer engagement.
Human Behind the Data: AI must interpret, not just collect, data with emotional intelligence to create relevant experiences.
Tone & Language Shape AI: The words marketers use directly influence model training. Inclusive, empathetic language helps reduce bias and exclusion.
Real-World AI Bias Examples: From Amazon’s scrapped hiring tool to IBM’s inclusive datasets, Emily highlights how biases can creep on, and how auditing protects fairness.
Marketing's Ethical Responsibility: Emily advocates for cross-functional collaboration and frameworks that prioritize transparency, fairness, and privacy.
Emerging Trends: Conversational AI, sentiment analysis, and natural language processing are making digital engagement feel increasingly human.
Whether you’re refining your AI strategy, leading digital transformation, or building trust through customer-first marketing, this episode is a masterclass in responsible, inclusive leadership. Watch now on YouTube and subscribe for biweekly episodes featuring the world’s top CMOs.
