CASE STUDY SESSIONS

Seminar 01 - Ethical matrix

Led by Migle Laukyte

We will use the Ethical Matrix as a tool for the ethical assessment of algorithmic hiring, i.e., the usage of artificial intelligence for the recruitment of job candidates.

Students will be divided into groups. Each group will receive a template of an ethical matrix and produce an ethical matrix of algorithmic hiring and discuss the results. 

Download: instructions for seminar 01; template of an ethical matrix.

Seminar 02 - Data protection Impact Assessment

Led by Antoni Rubi-Puig. 

We will conduct a Data Protection Impact Assessment (DPIA). We will discuss when DPIAs are required, how they are performed and which role DPIAs may play in fostering fairness, accountability, transparency and ethics of data processing. We will imagine a mobile app to improve fitness or well-being and sketch its DPIA.

Templates: UK – Information Commissioner’s Office, DPIA template and instructions; ES – Agencia Española de Protección de Datos, DPIA template

Seminar 03 - case study on contestant selection, price discrimination, and mobility

Led by Antoni Rubi-Puig. 

We will use some hypothetical cases to discuss legal problems associated with profiling and automated decision-making rules under the GDPR. We will identify the shortcomings of the current GDPR rules when applied to specific cases.

Seminar handout: contestant selection at a talent show, price discrimination, and mobility app.

Seminar 04 - case study on AFFIRMATIVE ACTION 

Led by Migle Laukyte

Students will discuss two models of affirmative action; each group will be assigned a model, identify the main reasons for supporting it and defend it against potential objections.

• Model A: The compensatory model.

• Model B: The diversity model.

Questions your group needs to answer: [Handout link]

Before the seminar, you should read this text (8 pages) adapted from Chapter 7 of Michael Sandler (2008) Justice: What’s the right thing to do?