How to Scale Your Expertise with AI — Ethically
Episode description
In this follow-up episode, Erin Austin—IP lawyer, AI ethicist, and founder of Think Beyond IP—returns to explore the ethical side of using AI in your business. Building on last episode’s legal foundations, Erin reveals four often-ignored ethical dangers that can quietly erode your credibility, from AI hallucinations to hidden biases. She discusses how to avoid plagiarism (even when AI writes it), why agentic AI can compromise your client trust, and how to keep your human expertise at the center of your systems. If you’re committed to scaling with integrity in an AI-powered world, this episode is your ethical checklist.
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TIMESTAMPS:
0:00 – Jordan introduces Part 2 with Erin Austin and the focus on ethical AI usage.
2:37 – The truth about AI hallucinations: confident-sounding answers that are completely wrong.
7:51 – Erin’s first experience with AI—and how it failed a basic legal test.
11:43 – Plagiarism vs. originality: when AI-generated content crosses an ethical line.
16:02 – The real impact of bias in AI tools—especially in hiring and data interpretation.
20:33 – Agentic AI explained: What happens when AI starts making decisions without you?
24:58 – Ethical use in professional services: how much delegation is too much?
27:10 – Final recap of the 4 hidden threats and Erin’s call to use AI as a tool, not a substitute.