Administrative information

Title Value-sensitive Design
Duration 60
Module A
Lesson Type Lecture
Focus Ethical - Ethics Fundamentals
Topic Value-sensitive Design   

 


Keywords

Value-sensitive designa, Ethical matrix,


Learning Goals


 

Expected Preparation

Learning Events to be Completed Before

None.

Obligatory for Students

Optional for Students

References and background for students:

None.

Recommended for Teachers

None.


Lesson Materials



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

Instructions for teachers

VSD offers an extra perspective when designing technological innovations. While most design approaches focus on achieving the desired functionality and quality in terms of ease of use, efficiency and robustness, VSD adds the perspective of human values. What do certain design choices mean for values ​​such as autonomy, justice or trust? And whose values ​​are actually at stake? VSD does not only look at the values ​​of the people who are directly affected by a service, but also at those indirectly involved, such as future generations. Moral dilemmas arise when values ​​clash, such as security and privacy in some cases. Then it is important to look for solutions that enable the right balance between different values.

In the lecture, we apply VSD to the situation in which a pharmacy wants to use drones for the delivery of medicines. We will discuss who the stakeholders are here and which values ​​may be affected. We make a distinction in the three VSD perspectives conceptual, empirical and technical. By means of a dialogue we try to arrive at design choices that meet the interests of all those involved as much as possible.

Topics to cover

Relation to project

If taught in relation to a larger practical part (e.g., a project), the following can be used to guide the students.

Apply what you have learned to your own case study for the final assignment.

Outline


Time schedule
Duration (Min) Description
20 Problem 1: Pen and Paper implementation of a forward pass (example from the lecture)
20 Problem 2: Developing a neural network from scratch using Numpy (example from the lecture)
10 Problem 3: Developing a neural network from using Keras (example from the lecture with set weights and random weights)
10 Recap on the forward pass process

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