What Not to Put in AI at Work: A Beginner's Data Safety Guide

What should someone never paste into AI? Which account should a team use for business information? How do the same rules apply when you work with virtual assistants, freelancers, agencies, or contractors?

Makeda Boehm explains shadow AI, the difference between privacy, security, and safety, and five practical rules for protecting customer, employee, contractor, and business information.

In this episode:

• What shadow AI means and why leaders need to discuss it with the whole team
• How to decide whose information you have permission to use
• Why personal, free, and organization-managed AI accounts aren’t interchangeable
• A practical prompt for reviewing new terms, conditions, and privacy-policy updates
• How data minimization applies to AI tools, virtual assistants, and contractors
• Why reading, drafting, sending, publishing, buying, and deleting require different levels of permission
• How to make an AI system stop when important information is missing

This episode draws from Chapter Six, “Set the Rules,” in Makeda’s book, *Context Training*.

Bring a Context Training workshop to your organization: https://seedandsociety.com/speaking