[this page on wiki][index][EN][BG][CS][DA][DE][EL][ES][ET][FI][FR][GA][HR][HU][IT][MT][NL][PL][PT][RO][SK][SL][SV]

Interactive session: Duty Ethics

Administrative Information

Title Duty Ethics - Debate
Duration 55
Module A
Lesson Type Interactive Session
Focus Ethical - Ethics Fundamentals
Topic Ethics of self-driving cars

Keywords

Duty ethics,self-driving cars,moral trade-off,

Learning Goals

Expected Preparation

Learning Events to be Completed Before

Obligatory for Students

  • Awad, E., Dsouza, S., Kim, R., Schulz, J., Henrich, J., Shariff, A., Bonnefon, F. & Rahwan, I. (2018). The moral machine experiment. Nature, 563(7729), 59-64. [1]
  • Duty ethics - Kant: School of Life - Kant & Categorical Imperatives: Crash Course Philosophy#35.

Optional for Students

  • Alexander, Larry, and Michael Moore "Deontological Ethics" on Stanford Encyclopedia of Philosophy, Stanford University, 21 Nov. 2007. [2]
  • Panza, C., & Potthast, A. (2010). Ethics for dummies. John Wiley & Sons.

References and background for students

None.

Recommended for Teachers

  • Any paper exploring the Ethics Behind Self-Driving Cars
  • The Moral Machine project page
  • Greene, J. D. (2016). Our driverless dilemma. Science, 352(6293), 1514-1515. [3]

Lesson materials

Instructions for Teachers

Students should form a group of 3-4 and try to discuss about a fake scenario case, trying to stress-out positives and failures of designing a self-driving vehicle following duty ethics principles from different viewpoints (e.g. passenger, pedestrian). You should try helping them answering to several questions regarding this topic, for example:

What do you think?

It is important to have a debate beside a guided discussion.

In the end, you may help your students with a final exercise. Using moral machine platform, students will face moral dilemmas, where a driverless car must choose the lesser of two evils in an inevitable collision scenario. As an outside observer, the two groups will judge which outcome is more acceptable and confront their results.

Topics to cover

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.