Paul Chaney is a veteran digital marketer, B2B content strategist, and publisher of the AI Marketing Ethics Digest on Substack. In this episode, Paul joins host John Jantsch to explore the crucial yet overlooked intersection of AI and marketing ethics. From the risks of "shadow AI" and techno-stress to building responsible governance frameworks and his Generative AI Business Adoption Hierarchy, Paul offers a grounded, strategic perspective on how businesses can navigate AI adoption with integrity. Tune in to learn why ethical guardrails aren't just about compliance—they're essential for protecting your brand, your team, and your customers.

Today we discussed:

00:09 Introducing Paul Chaney

00:42 Why Paul launched the AI Marketing Ethics Digest

02:58 Transparency, bias, and brand reputation in AI output

05:00 Strategy before technology: avoiding "bad work faster

06:55 What "shadow AI" is and how it can harm organizations

07:55 The need for usage policies and monitoring internal AI use

10:32 The Generative AI Business Adoption Hierarchy explained

13:20 Embedding AI into business culture with governance and clarity

15:27 What is AI techno-stress and how is it impacting workforces?

18:02 Lack of training is a hidden ethical risk for employee well-being

20:08 Why many business owners may give up on AI—and what that means for consultants

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