The goal of this course is to introduce Artificial Social Intelligence, commonly referred to as Social AI, a field focused on the automatic modelling, analysis, and synthesis of verbal and non-verbal behaviour in both human–human and human–machine interactions. After presenting the field and its key scientific and technological objectives, the course will cover the main methodological steps underlying Social AI, from the collection of behavioural data to the design of appropriate AI approaches and the psychologically informed evaluation of results. Special attention will be given to the interdisciplinary nature of Social AI. The course will demonstrate how social and psychological questions can be formulated in technological terms and, conversely, how addressing technological challenges related to human behaviour can generate valuable psychological insights.
The course includes 10 lectures:
Lecture 01: Introduction to Social AI
Lecture 02: Scientific Observation of Behaviour
Lecture 03: Judgment Studies
Lecture 04: Analysis of Conversations
Lecture 05: Behaviour as a Window to the Mind
Lecture 06: Behaviour as a Trace of Inner Life
Lecture 07: Engaging with Cognition and Psychology
Lecture 08: Engaging with Senses and Experience
Lecture 09: Body Language Without the Body
Lecture 10: Conclusions