DESCRIPTION
The tutorial is an introduction to the main aspects of Artificial Social Intelligence (Social AI), the AI domain aimed at making machines socially intelligent, i.e., capable to make sense of the social landscape in the same way as people do. The focus will be on the most specific aspects of the field with respect to the rest of AI, including interdisciplinary connection with Human Sciences (Psychology, Anthropology, Sociology, etc.), methodological aspects of data collection, approaches for human behavior sensing, evaluation metrics, experimental design and Deep Learning methodologies for analysis and synthesis of human behavior. The tutorial will make use of data that will be shared with the participants and will provide the immediate opportunity to perform experiments in some of the main areas of Social AI, from the detection of mental health issues to generation of artificial emotions with virtual agents.
DETAILS
Course type: Tutorial
Duration: 4 hours (4 lectures of 1 hour)
Institution of lecturer: University of Glasgow
LECTURER
Prof. Alessandro Vinciarelli
Alessandro Vinciarelli (http://vinciarelli.net) is Full Professor at the University of Glasgow where he is Director and Principal Investigator of the UKRI Centre for Doctoral Training in Socially Intelligent Artificial Agents (http://socialcdt.org), a project training 70+ PhD students in all aspects of Social AI. In addition, Alessandro is member of Responsible AI (http://rai.ac.uk), the UK initiative aimed at ensuring the respect of ethics in AI, through the keystone project “Participatory Harm Auditing Workbenches and Methodologies” (http://phawm.org). His main research interest is Social Signal Processing, the domain aimed at modelling, analysis and synthesis of nonverbal communication in human-human and human-machine interactions. Overall, Alessandro published more than 200 scientific works (including 50+ journal papers) that attracted over 11,000 citations on Google Scholar (h-index 47). Furthermore, he garnered 14.5 MEuros as a Principal Investigator in competitive calls funded by national and international research agencies (European Union Programs, United Kingdom Research and Innovation, Swiss National Science Foundation, etc.). Last, but not least, Alessandro is co-founder of Klewel (http://klewel.com), a knowledge management company recognized as an exemplary impact story by IEEE Multimedia, and Scientific Advisor of Substrata (http://substrata.me), the social signal intelligence platform for dealmakers and sales professionals. Besides the organizer (Vinciarelli), the course will involve two other academics: Dr Tanaya Guha (http://www.tanayag.com) and Dr Mathieu Chollet (https://matchollet.github.io).