Practical: Investigate data lineage, challenges and potential impact of the AI teams

Practical: Investigate data lineage, challenges and potential impact of the AI teams

Administrative information

Title

 Investigate data lineage, challenges and potential impact of the AI teams
Duration 90 min
Module C
Lesson Type Practical
Focus Ethical - Compliance, Legality and Humanity
Topic EU and International Legislation/Frameworks on data, AI, human rights and equality

 

Keywords

Data Lineage, Data Provenence, Differential Privacy, Data Pipeline,

 

Learning Goals

  • To understand the concept and importance of data provenence for AI teams
  • Impact of bias in datasets
  • Methods for tracing Data Lineage

 

Expected Preparation

Obligatory for Students

  • Knowledge of GDPR and database concepts

Optional for Students

  • N/A

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 - 5 min Brief of the tasks to be conducted    

Practical Instructions
5 - 30 min Task #1 - Provenance Provenance Guided Discussion -
30 - 55 min Task #2 - Compliance Compliance Guided Discussion -
55 - 80 min Task #3 - In Practice In Practice Guided Discussion -
80 - 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

Colofon

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Auteur
HCAIM Consortium
Laatst gewijzigd
2024-02-14 21:57:59
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Gebruikte Wikiwijs Arrangementen

HCAIM Consortium. (z.d.).

Acknowledgement

https://maken.wikiwijs.nl/198386/Acknowledgement

HCAIM Consortium. (z.d.).

Practical: Effective of EU proposal of Regulation on AI

https://maken.wikiwijs.nl/202168/Practical__Effective_of_EU_proposal_of_Regulation_on_AI

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