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Learning Events to be Completed Before

Lecture: Risk & Risk mitigation

Obligatory for Students

Concepts of risks and their mitigation

Optional for Students

None.

References and background for students:

None.

Recommended for Teachers

Read the draft standard yourself

Instructions for Teachers

This activity is based on the IEEE 7000-2021 Standard Model Process for Addressing Ethical Concerns during System Design.

This standard is expected to be endorsed by the EU AI Act with specific customization

This standard comes with a risk-based approach

For each team of 4-6 students, specify an imaginary AI system the students need to develop. *The idea here is to give each group something with a different (as per EU AI Act risk categories). Examples:
surveillance with face recognition for an airport (hint: this is prohibited except in very well defined cases)
automated essay grading system (hint: probably high-risk, human overshight needed)
recommendation system for TV Series (low risk, but there are provisions for children)
in-game chat bot AI for a MMORPG (low risk)
Have them read the risk categorization chapter of AI Act (Title II and Title III)

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

Title	Risk & Risk Mitigation in Practice
Duration	60 min
Module	B
Lesson Type	Practical
Focus	Ethical - Trustworthy AI
Topic	Risk

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Keywords

Learning Goals

Expected Preparation