Bridging Social Sciences and AI for Understanding Child Behaviour

Abstract

Child behaviour is a topic of wide scientific interest among many different disciplines, including social and behavioural sciences and artificial intelligence (AI). In this workshop, we aimed to connect researchers from these fields to address topics such as the usage of AI to better understand and model child behavioural and developmental processes, challenges and opportunities for AI in large-scale child behaviour analysis and implementing explainable ML/AI on sensitive child data. The workshop served as a successful first step towards this goal and attracted contributions from different research disciplines on the analysis of child behaviour. This paper provides a summary of the activities of the workshop and the accepted papers and abstracts.