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

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

Administrative information

Title

 Consumer Issues - Filter Bubbles, Data Storage, AI monitoring, fair practices
Duration 50-55 min
Module C
Lesson Type Interactive Session
Focus Practical - Socially Responsible AI
Topic Corporate Social Responsibility (ISO 26000) - when using HCAI systems

 

Keywords

Filter Bubbles, Data Storage, AI monitoring, AI landscapes,

 

Learning Goals

  • Understand the implications of filter bubbles on consumer access to information.
  • Explore the ethical considerations surrounding data storage and privacy.
  • Discuss the impact of AI monitoring and fair practices on consumer rights.

 

Expected Preparation

Obligatory for Students

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

Optional for Students

None.

References and background for students

  • Metaxas, P. T., & Mustafaraj, E. (2012). Social media and the elections. Science, 338(6106), 472-473.
  • 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.

 

Lesson materials


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

 

Instructions for Teachers

The class can be divided into two groups, Each group will be assigned two case study scenarios listed in the slides.

 

Outline

Duration (min) Description Concepts Activity
5 Case Study - Consumer Issues 4 scenarios Navigating the AI landscape  
10 Scenarios - Filter Bubbles, Data Storage, AI monitoring, Fair practices Student driven Discussion
25 Guided Discussion- Research Questions Student driven Discussion
10 Discussion of results and some additional points of discussion   Result discussion
5 Conclusion and some open-ended questions   Food for thought

 

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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    Auteur
    HCAIM Consortium
    Laatst gewijzigd
    2024-02-14 22:09:38
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    Acknowledgement

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

    HCAIM Consortium. (z.d.).

    Interactive session: Community development - Societal impact assessment prior to working on AI project

    https://maken.wikiwijs.nl/202188/Interactive_session__Community_development___Societal_impact_assessment_prior_to_working_on_AI_project

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