Full course coming soon

Privacy by Design for Wearable and Ambient Sensing Systems

7 chapters · 30 lessons

1. 1. Legal Foundations for Ambient Data Capture

   4 lessons

   Understand GDPR principles, lawful bases, and special category data rules that govern sensing systems in physical spaces.

2. 2. Privacy-Preserving System Architecture Patterns

   5 lessons

   Design data flows that minimize collection, limit retention, and enforce purpose boundaries from sensor to storage.

3. 3. Consent and Transparency Mechanisms

   4 lessons

   Build technical controls that inform, obtain consent, and respect withdrawal across device, app, and service layers.

4. 4. Data Subject Rights Implementation

   4 lessons

   Architect systems that support access, rectification, erasure, and portability requests for distributed sensor data.

5. 5. Third-Party and Cloud Service Risk Management

   4 lessons

   Evaluate vendor contracts, SDKs, and APIs for compliance gaps and data reuse risks in wearable ecosystems.

6. 6. Privacy Impact Assessments and Documentation

   4 lessons

   Conduct DPIAs, document processing activities, and build accountability frameworks for high-risk sensing products.

7. 7. Workplace and Public Space Deployment Governance

   5 lessons

   Design policies, training, and technical guardrails for organizational use of sensing devices in shared environments.