Administrative Information
| Title | Common Roles and Cross Overs between Data Management and AI teams |
| Duration | 90 min |
| Module | C |
| Lesson Type | Practical |
| Focus | Ethical - Compliance, Legality and Humanity |
| Topic | Data Management, Audit and Assessment |
Keywords
Data Management, Data Stewardship, GDPR, Data Governance, Data Pipeline,
Learning Goals
- To understand that there are many roles involved going from raw data to AI modelling
- Awareness of Ethics in the whole data pipeline
- Safeguard implementations for data
Expected Preparation
Learning Events to be Completed Before
Obligatory for Students
- Knowledge of GDPR and database concepts
Optional for Students
- None
References and background for students
- High level knowledge of GDPR and database concepts
Recommended for Teachers
- Provide background on GDPR
- Give examples of significant GDPR cases
Lesson materials
Instructions for Teachers
Try to stick to the time table. If possible provide more time to the question and answer session if needed.
Outline of lecture
| Duration (min) | Description | Concepts | Activity | Material |
|---|---|---|---|---|
| 0 - 15 min | Brief of the tasks to be conducted | |||
| 15 - 30 min | Task 1 - Setup of roles and responsibility in a data pipeline | Roles | Spreadsheet | |
| 30 - 45 min | Task 2 - Given a specific data set, identify sensitive data with privacy implications | Privacy | Spreadsheet | |
| 45 - 60 min | Task 3 - List issues to safeguarding within the supplied datasets | Security | CSV Data | |
| 60 - 75 min | Task 4 - Audit roles and data usage | Governance | Spreadsheet | |
| 75 - 90 min | Summary of the practical | Q&A |
Acknowledgements
Each author of the sources cited within the slides
The Human-Centered AI Masters programme was Co-Financed by the Connecting Europe Facility of the European Union Under Grant №CEF-TC-2020-1 Digital Skills 2020-EU-IA-0068.