Understanding AI at Work: Disclosure Scripts When You Used

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Understanding AI at Work: Disclosure Scripts When You Used

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In this episode, we cover Disclosure. The conversation opens with: Welcome to Ethical AI : Let's Make Sense Of This Sh*t. I'm Morgan. If you lead a marketing team or manage projects where tools like copilots now shape first drafts and research summaries, you already know the stakes. Using those systems speeds up routine work, yet it also raises questions about credit, ownership, and client expectations. Listen for the key context, practical takeaways, and the most important points to carry forward.

Welcome to Ethical AI : Let's Make Sense Of This Shit. I'm Morgan. If you lead a marketing team or manage projects where tools like copilots now shape first drafts and research summaries, you already know the stakes. Using those systems speeds up routine work, yet it also raises questions about credit, ownership, and client expectations. Many organizations still lack clear habits for noting when an assistant contributed text or ideas. Without a simple script, one person might flag the contribution while another stays silent, and the inconsistency creates friction later. Regulators in Europe have started reviewing similar transparency gaps under the EU AI Act summaries, and guidance from the FTC points in the same direction. The result is that teams spend extra time clarifying what came from a person and what came from a model. A short disclosure line placed at the right moment solves mos

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