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Author:Dmitry Muravyov

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HBO/WO

MBO

September 1, 2025

Algorithmic assessment systems

This class pursues a twofold goal of making students both think about the use of AI in recidivism prediction/social benefits allocation and reflect on the possible use of AI for making evaluative, moral judgments. To do so, students are first presented with contextual information about recidivism prediction and social benefits allocation controversies before the class through mandatory reading. During the class, students are divided into four groups that take contrasting positions on these two issues (recidivism prediction and social benefits allocation) and are asked to suggest (counter-)arguments for the position that they have been assigned in a debate-style manner, following academic argumentative norms. Later, students use ChatGPT/GPT3 or an alternative LLM with a chat interface to prompt it about arguments and counter-arguments pertaining to their position. As a result, students compare and discuss the answers they have come up with and those offered by ChatGPT, both within the groups and with the whole class, exploring different dimensions of using AI for evaluative moral judgments

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Olya Kudina, Dmitry Muravyov

January 27, 2025

A value sensitive analysis of 13 cases in ICT ethics

The exercise proposes a step-by-step activity in which students will perform a value sensitive design analysis of 13 cases related to computer sciences/ ICT technologies. Students are asked to analyse a technology case in small groups. They are asked to identify the underlying value conflict that pertains to contrasting stakeholders’ views. Students do so through group work by selecting and working on one morally salient case study with an identifiable ethical problem (the exercise offers 13 such cases to pick from, but instructors are encouraged to add their own cases to this list). The students are encouraged to solve the value conflict by searching for already existing solutions proposed by different stakeholders (for example, designers, journalists, scholars, engineers, policy makers, etc.), and then analysing how a particular solution prioritizes certain values over others.

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Lavinia Marin, Samuela Marchiori, Joseph Emmanuel Sta. Maria, Dmitry Muravyov