AI in everyday life

Course Features


Language English
Hours 12
Type Lessons
 Course website Go to Github


Learners will familiarize themselves with the fundamental definitions and concepts around AI, but also the widespread methods used in the creation of systems. In particular, an introduction to data-driven AI, based on machine learning, is provided.

The role of personal data in the AI ecosystem – provided to companies via the use of services such as search engines and social media – will be discussed. In addition to examining the fundamental concepts surrounding the technical aspects of Narrow AI, we will also examine the ethical and social implications of its widespread use.

Participants will therefore learn to analyze the functions of “everyday” AI applications and will be able to understand the potential risks of these technologies, in an effort to raise awareness, encouraging them to critically evaluate them.

In short, the ultimate goal of this course is to empower participants to make use of AI applications – particularly those that are playing an increasing role in everyday life – in an optimal way.

The course will cover the following topics:

  • Machine Learning and Big Data
  • Natural Language Processing
  • Personalization
  • Ethical issues in AI applications

Visit the course website on github for full details


Matteo Busso is a Ph.D. candidate in the Department of Information Engineering and Computer Science of the University of Trento, tutored by Prof. Fausto Giunchiglia.

He received his B.Sc. in Intercultural Communication in 2015 at University of Torino and M.Sc. degree in Sociology and Social Research in 2018 at University of Trento. His major research interests include Computational Social Theory, Scientific Data Infrastructure (SDI), Privacy and Ethics.

He is currently working on human-centric SDI, to enable interdisciplinarity among Sociology and Informatics.