Administrative information

Title	Risk & Risk Mitigation lecture
Duration	60 min
Module	B
Lesson Type	Lecture
Focus	Ethical - Trustworthy AI
Topic	Risk

Keywords

Risk,Risk Society,Tradeoff,

Learning Goals

Learner understands the competing concepts of risk
Learner understands how risk is perceived by a the modern society
Learner understands approaches to risk evaluation
Learner understand approaches to risk mitigation

Expected Preparation

Learning Events to be Completed Before

None.

Obligatory for Students

None.

Optional for Students

None.

References and background for students:

None.

Recommended for Teachers

Beck, Ulrich. "From industrial society to the risk society: Questions of survival, social structure and ecological enlightenment." Theory, culture & society 9.1 (1992): 97-123.
Beck, Ulrich. "Risk society revisited." The sociology of risk and gambling reader 61 (2006).
Stanford Encyclopedia of Philosophy: Risk -(2018)
Keynote Address by Prof. Ulrich Beck at 42nd St. Gallen Symposium

Lesson Materials

A philosophical introduction to risk

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

Ulrich Beck in May 2012 in a One on One with Stephen Sackur at the 42. St. Gallen Symposium at the University of St. Gallen.

Instructions for Teachers

Introduction to the definitions of risk (20 min)
Focus on the modern definition of risk (definitions see 4-5 in the slides)
Clarify the epistemic background of risk (20 min - *Covering Law model, inductive-statistical model, induction
Introduce Risk Society (20 min)
Based on Ulrich Beck's Risikogesellschaft

Outline

Introduction to the definitions of risk (20 min)
- Focus on the modern definition of risk (definitions see 4-5 in the slides)
Clarify the epistemic background of risk (20 min - optional)
- Covering Law model, inductive-statistical model, induction
Introduce Risk Society (20 min)
- Based on Ulrich Beck's Risikogesellschaft

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