Interactive Session: Data and its challenges - How GDPR impacts AI solutions

Interactive Session: Data and its challenges - How GDPR impacts AI solutions

Administrative information

Title

 Data and its challenges - How GDPR impacts AI solutions
Duration 50 min
Module C
Lesson Type Interactive session
Focus Ethical - Compliance, Legality and Humanity
Topic EU and International Legislation/Frameworks on data, AI, human rights and equality

 

Keywords

GDPR Regulation,Bias in Data,Ethical challenges,

 

Learning Goals

  • Understand the challenges associated with Data,
  • Understand the effectiveness of GDPR regulation in the AI context

 

Expected Preparation

Obligatory for Students

None.

Optional for Students

None.

References and background for students

None.

Recommended for Teachers

  • Provide an introduction to the GDPR regulation,
  • Overview of ethical challenges associated with data, Examples of GDPR Violation in the AI context

 

Lesson materials

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

Instructions for Teachers

  • Lead and guide the discussion within the scope of the discussion points.
  • Encourage students to focus on the evidence and interrupt if they speak over others.
  • Keep a note of all the discussion points and share the trail of discussion at the end of class.
  • Provide conclusive remarks on the discussion with possible open questions and challenges.
  • Additional details on the structure of this interactive session can be found in the outline below.

Outline

Duration Description
0-10 min Quick Review of EU AI regulations including GDPR
10-15 min Introduction to the case study (The Data Protection Authority in Hungary)
15-45 min Task1: Group Allocation: Read the case of NAIH
45-55 min Presentation: discuss the following: 1. How The AI analytical system in the fined bank failed in the GDPR Compliance? 2. What are main pitfall points that need to be consider to reassure the GDPR compliance? 3.what are the lessons learned from the case�?
5 min 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

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    2024-02-14 21:58:38
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    Acknowledgement

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

    HCAIM Consortium. (z.d.).

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

    https://maken.wikiwijs.nl/202169/Practical__Investigate_data_lineage__challenges_and_potential_impact_of_the_AI_teams

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