The course includes 6 seminar sessions for case studies.
Attendance to seminars is mandatory for undergraduates.
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.
Results of an informal poll among students, asking the pick the most important and least important values for them from a list.
Led by Antoni Rubi-Puig.
We will discuss the right of access under the GDPR and how data subjects may exercise this right. During this informative session, relevant elements of data protection related to personal data requests will be discussed. Then, the tasks and methodology for the FATE Connected Learning Community (FATE CLC) joint activity will be described.
Slides: 2026 Slides about Data Subject Access Request.
Activity instructions: 2026 FATE CLC Joint Activity Instructions.
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.
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?