Administrative information

Title	AI Risks and Risk Management
Duration	90 min
Module	B
Lesson Type	Interactive Session
Focus	Ethical - Trustworthy AI
Topic	Risk

Keywords

AI Risk,Risk Management,Resilience Management,Explainable AI,Interpretable AI,Security,Resilience,Transparency,Accountability,

Learning Goals

Recognize, analyze and discuss the necessity and the role of security testing in AI.
Employ documents, such as the AI Act, to classify use cases into risk categories.
Discuss in-depth and with common European vocabulary on AI risk and how can AI be designed safely and benevolently, in ways that will not expose humans to unacceptable risks of harm, even when risky behaviour may advance a system goal.
Classify the obligations of providers and users in relation to AI risk management.
Discuss the requirements for high-risk AI systems as per the AI Act.
Elaborate and recognize specific risks and risk taxonomies, relevant throughout the different stages of the AI lifecycle.

Expected Preparation

Learning Events to be Completed Before

None.

Obligatory for Students

High-Level Expert Group on Artificial Intelligence (AI HLEG). (Apr. 8, 2019). European Commission. “Ethics Guidelines for Trustworthy AI.
HCAIM Lecture on Risk and Risk Mitigation

Optional for Students

HCAIM Webinar on the European Approach Towards Reliable, Safe, and Trustworthy AI (Available on YouTube)
HCAIM Webinar on the Role of Security and Privacy in Machine Learning (Available on YouTube)

References and background for students:

High-Level Expert Group on Artificial Intelligence (AI HLEG). (Apr. 8, 2019). European Commission. “Ethics Guidelines for Trustworthy AI.
HCAIM Lecture on Risk and Risk Mitigation

Recommended for Teachers

European Commission: Proposal for a Regulation of the European Parliament and of the Council Laying Down Harmonized Rules on Artificial Intelligence (Artificial Intelligence Act), 2021
European Union Agency for Cybersecurity, Malatras, A., Dede, G.,AI cybersecurity challenges: threat landscape for artificial intelligence, European Network and Information Security Agency, 2020
High-Level Expert Group on Artificial Intelligence (AI HLEG). (Apr. 8, 2019). European Commission. “Ethics Guidelines for Trustworthy AI.”
Malicious Uses and Abuses of Artificial Intelligence 2020, Europol Publication

Lesson Materials

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

Instructions for Teachers

This interactive session aims to build a common vocabulary for students to discuss risk and risk management related to AI, specifically through the EU risk-based approach towards AI. The materials provided, as well as the overall outline and schedule of the interactive session are indicative and presented in order to better guide a discussion with the students. As long as the learning goals are met, instructors are encouraged to follow the natural flow of the discussion.

Outline and Schedule of the Interactive Session:

Duration	Topic	Description
15 mins	Introduction	Defining risk. EU's approach towards AI risk management. Risk management strategies throughout the AI lifecycle.
30 mins	Classifying risk	AI assets and threat taxonomy and risk management frameworks to describe technical design characteristics for AI.
30 mins	Mitigating risk	Approaching risk mitigation using use cases and common vocabulary, and reference models to leverage the discussion.
15mins	Closing Remarks	Discussion with Students. Questions and Answers.

Two HCAIM Webinars are particularly relevant to this interactive session. Those could be shown prior to the discussion or parts of them could be played to facilitate topics and manage silence.

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

Colofon

Het arrangement Interactive session: Risk & Risk mitigation is gemaakt met Wikiwijs van Kennisnet. Wikiwijs is hét onderwijsplatform waar je leermiddelen zoekt, maakt en deelt.

Auteur: HCAIM Consortium
Laatst gewijzigd: 2024-05-15 11:11:53
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Toelichting: .
Eindgebruiker: leerling/student
Moeilijkheidsgraad: gemiddeld
Studiebelasting: 4 uur en 0 minuten

Gebruikte Wikiwijs Arrangementen

HCAIM Consortium. (z.d.).

Acknowledgement

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

HCAIM Consortium. (z.d.).

Practical: Practice with XAI models 2

https://maken.wikiwijs.nl/200234/Practical__Practice_with_XAI_models_2

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