Human-Centered Artificial Intelligence is a new paradigm that is now at the center of research and development activities both at major companies and prestigious international research centers in the USA and Europe.

The underlying idea is to shift the focus of Artificial Intelligence from "stand-alone" applications aimed at replacing humans in intelligent tasks to interactive applications where human and machine intelligence collaborate to overcome the limitations of both.

The overall goal of this Master’s Degree program is to provide the interdisciplinary skills necessary to integrate artificial intelligence applications into the human context (business, institutional, educational) where such applications need to be used. The aim is to train new professionals capable of assuming high-responsibility roles in organizations and services aimed at individuals, groups, and communities (public administration, public and private companies), and to contribute to the design of interfaces and IT systems that are consistent with the human context of reference, addressing complex problems involving non-technical variables: strategic objectives, moral values, legal constraints, cognitive biases, and other psychological and social factors. From this perspective, human agents’ input becomes an integral part of an Artificial Intelligence system, and Artificial Intelligence itself is a set of sophisticated technologies to enhance human agents’ intelligence by expanding their cognitive capabilities. This creates a need for strongly interdisciplinary skills to sensibly and responsibly guide the integration of new technologies into the real contexts in which they are to be applied.

The aim is to train professionals who bridge the gap between the hard skills of expert developers and the soft skills necessary for integrating AI applications into the relevant human contexts.

Graduates of the Human-Centered Artificial Intelligence program will have:

• A high level of expertise in disciplines that characterize the interaction between human cognition and Artificial Intelligence.
• A deep understanding of the most advanced methods for data collection and analysis (machine learning).
• A thorough knowledge of theoretical, technical, and cognitive aspects of human-machine interfaces.
• The ability to design models and interventions for reorganizing the interfaces between humans and Artificial Intelligence systems.
• The capability to conduct independent research activities in the field of artificial intelligence.
• The ability to fluently use, both in writing and speaking, at least one European Union language in addition to Italian, with reference to sector-specific terminology.
• A deep theoretical and practical understanding of communication and decision-making processes based on the use of artificial intelligence systems.