Administrative information


Title

Consumer Issues - Filter Bubbles, Data Storage, AI monitoring, fair practices
Duration 45-60 min
Module C
Lesson Type Lecture
Focus Practical - Socially Responsible AI
Topic Corporate Social Responsibility (ISO 26000) - when using HCAI systems

 

Keywords


Consumer Issues, Filter Bubbles, Fair Practices, AI monitoring,

 

Learning Goals


 

Expected Preparation


Obligatory for Students

  • Review the lecture notes on Consumer Issues and Research on case studies related to Consumer rights

References and background for students

Recommended for Teachers

  • Binns, R., et al. (2018). Fairness in precision medicine. Proceedings of Machine Learning Research, 81, 1-15.

 

Lesson materials


 

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

 

Instructions for Teachers


Students should research companies regarding their efforts to comply with GDPR and the EU AI Act over the past year after the completion of this lecture.

 

Outline


Duration Description
5 min Introduction - Consumer Issues
25 min Consumer Issues due to Filter Bubble, AI monitoring
20 min Other Factors - Data Storage, Fair Practices
5 min Summary and Research Task

 

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