This class has the purpose of giving students the tools to observe, understand and judge the implications of AI applying an holistic approach. As the world of AI constantly changes, this class does not only consist in the transmission of pieces of information about AI (which may become obsolete in months). Instead, it focuses on principles and examples that should let students develop a critical sensitivity over the topic. This, in turn, should allow them to interpret the phenomenon of AI as it changes.

After this course, students will be able to understand the implications of AI on several levels that involve the individual and their social context. Also, students will be able to develop the sensitivity to critically and actively observe the phenomenon of AI as it constantly changes and evolves.

Through an approach that relies on the literature on behavioural sciences and psychology, this course will go over the components that constitute people well-being (Autonomy and Agency; Identity; Positive Relationships; Positive Emotions; Positive Institutions) and how AI can impact these dimensions. This class does not take a technical/computer science approach to look at the phenomenon of AI. Instead, the lens used will be the one of behavioural sciences.

There is no book. The class materials will be developed by the teaching team based on scientific papers and real-world examples.

The teaching method consists of frontal lessons about scientific literature and real-world examples as well as applied activities (e.g., the production of reports; the production of podcast episodes about AI).

Students will be graded based on: their performance on individual and group-based activities done during the semester (e.g., the production of reports, the production of podcast episodes about AI); a midterm exam; a final exam.

This class relies on the Marketing department process for the thesis assignment criteria.