Your AI, Your Responsibility
Your AI Can Do That. Should It?
Encourage, Require, Refuse: A Simple AI Policy
Purpose: Chase Business Wins, Not AI Hype
Protection: What Your AI Must Never Expose
Permission: What Can AI Do Without Asking?
Shadow AI: Give People a Better Option
Private AI Models: Keep Your Data In-House?
Could “No AI” Be a Business Strategy?
Where Human Craft Still Matters
Should AI Write to Your Customers?
Judgment: Convincing AI Can Still Be Wrong
Ownership: Your AI, Your Responsibility
Learning: Why AI Governance Can’t Be Set-and-Forget
Turn AI Policies into Enforceable Rules
Episode 26: Your AI, Your Responsibility
What should people be able to do with AI at work? Justin and Kellan walk through six governance components and a simple way to answer each: we encourage, we require, we will not. Along the way, they discuss agent permissions, the work customers value, and who remains accountable for AI output.
- Purpose, protection, permission, judgment, ownership, and learning.
- Connecting AI use to business improvement, including what to do with the time it saves.
- Why a person’s access doesn’t automatically determine their agent’s authority.
- The tradeoffs of a deliberate no-AI strategy and protecting the craft customers value.
- Matching review standards to the stakes and involving someone who knows the subject.
- Revisiting policies as the tools change, then checking which controls can actually be enforced.
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Music licensed through Soundstripe.
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