Lecture: Consumer Issues - Filter Bubbles, Data Storage, AI monitoring, fair practices

Administrative information

Title

Consumer Issues - Filter Bubbles, Data Storage, AI monitoring, fair practices

Duration

45-60 min

Module

Lesson Type

Lecture

Focus

Practical - Socially Responsible AI

Topic

Corporate Social Responsibility (ISO 26000) - when using HCAI systems

Expected Preparation

Learning Events to be Completed Before

Obligatory for Students

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

Optional for Students

Sunstein, C. R. (2017). #Republic: Divided Democracy in the Age of Social Media. Princeton University Press.

References and background for students

The Filter Bubble: What The Internet Is Hiding From
Tufekci, Z. (2014). Engineering the public: Big data, surveillance, and computational politics. First Monday, 19(7).
Zarsky, T. Z. (2016). Transparent predictions. Washington Law Review, 91, 521-592.

Recommended for Teachers

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

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

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

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

Colofon

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Auteur: HCAIM Consortium
Laatst gewijzigd: 2024-02-14 22:13:22
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