Module 11

Privacy, Safety, Bias, and Human Boundaries

Learners can identify information that should not be shared, spot bias and unfair assumptions, define human review boundaries, and keep records for important AI-assisted work.

Text-first no-code courseRead the classroom explanation, complete the practical activity, then pass the knowledge check. Use only safe, fictional, public, or nonsensitive material.

Start first unit Open resources

What you will practise

Classify sample information into safe, anonymise, or do not share.
Rewrite a sensitive scenario as a safe fictional sample.
Rewrite biased or assumptive sentences neutrally.
Create human-review triggers for five task types.
Write an AI-use record for a safe sample task.
Complete a privacy and safety checklist for one real but nonsensitive workflow.

Module sequence

Information that should not go into public AI toolsUnit 00
Personal, confidential, client, student, employee, and business dataUnit 01
Bias, stereotypes, and unfair assumptionsUnit 02
Human review for important decisionsUnit 03
Records, transparency, and disclosureUnit 04
Practice: complete an AI-use safety checklistUnit 05
Module 11 Activity: AI Use Safety ReviewActivity
Module 11 Knowledge CheckKnowledge Check
Module 11 Summary: Privacy, Safety, Bias, and Human BoundariesSummary