CareerGateway
AI Ethics, Bias & Disclosure at Work

Module 4 of 4

Disclosure design

Notices, approvals, and accountability rules.

Disclosure is not a legal paragraph nobody reads. It is telling a person, in plain language and at the moment it matters, that a machine was involved and what that means for them. "This first response was drafted by an assistant and reviewed by our team" is honest and takes one line.

Then set the accountability rule, because this is where policies usually go quiet. When an AI-assisted output causes a problem, who answers for it? The answer must be a person or a role, never "the system". Write the escalation path too: what triggers review, who reviews it, and how fast.

Takeaway

Plain language, at the moment it matters. Accountability lands on a named role — never on "the system".

That is the last module. What you hand in is Team AI-use policy for a real company — the rubric it is marked against is on the course page.