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

Expected Preparation

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

 


The materials of this learning event are available under CC BY-NC-SA 4.0.

 

 

 

Instructions for Teachers

Try to stick to the time table. If possible provide more time to the question and answer session if needed.

Outline

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

Practical Instructions
30 - 45 min Task 2 - Given a specific data set, identify sensitive data with privacy implications Privacy Spreadsheet

Response Spreadsheet
45 - 60 min Task 3 - List issues to safeguarding within the supplied datasets Security CSV Data

Raw CSV Data
60 - 75 min Task 4 - Audit roles and data usage Governance Spreadsheet  
75 - 90 min Summary of the practical   Q&A  

 

More information

Click here for an overview of all lesson plans of the master human centred AI

Please visit the home page of the consortium HCAIM

Acknowledgements

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.

The materials of this learning event are available under CC BY-NC-SA 4.0

 

The HCAIM consortium consists of three excellence centres, three SMEs and four Universities

HCAIM Consortium