Lisa Raehsler & Farida Khalaf: Author Interview #5, AI Everywhere, Volume 1 episode artwork

EPISODE · Mar 30, 2026 · 1H 1M

Lisa Raehsler & Farida Khalaf: Author Interview #5, AI Everywhere, Volume 1

from SheWritesAI Podcast · host Farida Khalaf, Lisa Raehsler, and SheWritesAI

In this episode of the She Writes AI podcast, Farida Khalaf talks with one of the co-authors of AI Everywhere, Volume 1 to explore their insights, experiences, and guidance on building AI that is ethical, responsible, and human-centered. This is the fifth episode in the interview series, and today we are joined by Lisa Raehsler, whose Chapter 17: AI in Advertising and Marketing covers how businesses use artificial intelligence to reach and influence customers.The purpose of the AI Everywhere book series is to highlight not just the “what” of AI innovation, but the “how” of using AI systems safely and confidently. In her chapter, Lisa Raehsler shares her expertise on how ads seem to know exactly what you want; how AI powers targeted ads, predicts purchase intent, and adjusts ad copy based on the viewer; and how companies analyze behavior to better understand what customers want. Lisa examines both the benefits, such as seeing more relevant ads, and the challenges, including concerns about data use and privacy. She uses real-world examples to show how AI is reshaping the way brands communicate and drive results.In this conversation with Farida Khalaf, Lisa’s insights illuminate how those uncannily-accurate ads keep popping up, how our data is being used in advertising & marketing, and what we can do to protect our privacy.To join future live video interviews and events, subscribe to SheWritesAI and get the Substack app. Get full access to She Writes AI Community at shewritesai.substack.com/subscribe

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Lisa Raehsler & Farida Khalaf: Author Interview #5, AI Everywhere, Volume 1

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This episode was published on March 30, 2026.

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In this episode of the She Writes AI podcast, Farida Khalaf talks with one of the co-authors of AI Everywhere, Volume 1 to explore their insights, experiences, and guidance on building AI that is ethical, responsible, and human-centered. This is the...

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