Generative AI trust is becoming one of the biggest leadership challenges in business.
In this episode of Beginner’s Guide to AI, Dietmar Fischer speaks with Alice Sesay Pope, author of The Trust Algorithm: How Leaders Build Trust with Generative AI, about why AI success cannot be measured only by speed, automation, or cost reduction.
Alice describes a growing “trust recession” where customers are unsure whether brands are acting in their best interest, employees are unsure whether AI will help or replace them, and leaders are under pressure to prove AI ROI before they have built the right strategy, governance, and human oversight.
The conversation explores why AI customer service often disappoints, why bad data can mislead both chatbots and human agents, and why companies should not deploy generative AI just to say they are using it.
You will also hear why leaders need to think about token costs, risk, guardrails, change management, psychological safety, reskilling, and privacy before scaling AI across the business.
This episode is for founders, executives, consultants, marketers, customer experience leaders, and anyone trying to understand how to use generative AI responsibly without losing customer trust.
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Dietmar Fischer is a podcaster and AI marketer from Berlin.
If you want help with AI strategy or digital marketing, visit:
“We are in a trust recession.”
“Don't just use AI just to be utilizing. Use it purposefully.”
“There's no technology solution that I believe can be effective without thinking of the human impact.”
00:00 Opening and Alice’s AI background
01:38 The Trust Algorithm and the trust recession
04:13 Why AI answers still need human verification
08:34 When customer service AI gets trust wrong
13:56 Why leaders need AI strategy, ROI, and guardrails
20:20 Human impact, reskilling, and change management
30:13 AI agents, privacy boundaries, and practical executive use cases
Website: AliceSesayPope.com
LinkedIn: Alice Sesay Pope
Book: The Trust Algorithm: How Leaders Build Trust with Generative AI
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