Enrolment
This course is currently free to enrol in.
Public course
Enterprise AI — Course 18: Privacy and Personal Data in AI Systems
Review personal-data uses in AI systems, apply supplied UK and EU rules, and recommend safeguards and bounded decisions from evidence.
AIprivacypersonal datadata protectionGDPRrightsimpact assessment
By Telari Labs
Enterprise AICourse 18 of 25
Learning on Telari
Created by Telari Labs, delivered through Telari
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AI access
The first managed lesson is included on Free. Continue with Plus or your own supported API key; premium assessments and certificates may require Plus.
Audio
No reviewed lesson audio is currently advertised for this course.
Lesson list
- Mapping personal data and purposesRecognise information about identifiable people and trace how each use changes the privacy question.
- Processing roles and responsibilityDetermine responsibility for a particular activity from actual purposes, decisions and instructions.
- Lawful use and purposeApply the supplied legal rule to a particular purpose and distinguish settled requirements from missing evidence.
- Fairness, necessity and minimisationChoose a proportionate data design and explain its effects on people and useful service behaviour.
- Rights and derived copiesFollow a rights response through source records, outputs, indexes and provider copies without overstating completion.
- Transparency and meaningful challengeAssess what people are told and whether review can actually affect an automated decision.
- Impact assessment and safeguardsApply screening rules and connect safeguards to harms and evidence of effectiveness.
- Transfers and provider boundariesTrace access across organisations and locations and test the scope of provider assurances.
- Preparing a bounded privacy reviewTurn the evidence into a concise recommendation with a clear limit, next question and decision owner.
- Final assessment: a bounded privacy decisionApply the course methods to seven independent supplied cases.