Human-Centered Artificial Intelligence The University of Milan

Overview

Human-centered artificial intelligence is a new paradigm that is now the focus of the research and development activities of both large companies and prestigious international research centers in the U.S. 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 in which human and machine intelligence work together to overcome the limitations of both.

Key Features

The Human-Centered Artificial Intelligence program at The University of Milan aims to solve complex problems involving a constellation of non-technical variables: strategic goals, moral values, legal constraints, cognitive biases, and other psychological and social factors. From this perspective, the input of human agents becomes an integral part of an Artificial Intelligence system, and Artificial Intelligence itself becomes a set of sophisticated technologies to enhance the intelligence of human agents by expanding their cognitive capabilities. 

Hence, there is an essential need for strongly interdisciplinary skills to meaningfully and responsibly guide this process of integrating new technologies into the real-world contexts.

Career and employment

Expert in Human-AI Cooperation

Function in a business context:

• Coordinating hybrid work teams (consisting of humans with different skills and machines), fostering interaction between IT experts, managers, domain experts, UX- designers and stakeholders.
• Organising the division of tasks and the ways of cooperation between humans and machines, taking into account psychological, ethical, sociological and cultural aspects.
• Translate stakeholders' needs in order to elaborate appropriate AI-based development projects within an organisation or company.
• Propose coaching and training sessions in which to illustrate to employees the benefits that human-machine hybrid teams can bring to the organisation.
• Coordinate collaboration with external consultants (economists, sociologists, analysts).
• Propose new performance indicators to assess the effectiveness of hybrid teams.
• Properly assess the ethical, psychological and social aspects of introducing artificial intelligence into the work environment and the general social context.

Skills associated with the function:

• Ability to make decisions on the basis of the logical-epistemological, cognitive and computing foundations of artificial intelligence;
• Ability to use data analysis and visualisation tools aimed at human-computer interaction;
• Ability to contribute to the development of applications of artificial intelligence in the fields of education, human sciences, art and culture;

• Ability to connect collaborators with different skills in order to effectively integrate artificial intelligence technologies in the work context.

• use virtual models of the brain to advance the diagnostic and therapeutic/rehabilitation pathway in the direction of precision and personalized medicine, in clinical neurology;
• interface the clinical setting with new AI-based ICT technologies;
• oversee the training activities of healthcare personnel by fostering the growth and dissemination of an "AI culture."
• adequately evaluate the ethical, psychological, and social aspects related to the introduction of artificial intelligence in the health and social context.

Expert in AI and Law

Function in a business context:

• apply AI techniques within the relevant legal framework of public agencies, private organizations, or international organizations;
• advise policy-making bodies and IT practitioners on the protection of rights in data collection and analysis operations and algorithmic decision-making processes;
• oversee the conscious use of AI by users or any civil and criminal liability profiles (for the user or the organization) arising from the use of innovative instrumentation;
• perform discrimination prevention and data protection oversight functions;
•  oversee staff training activities by fostering the growth and dissemination of an "AI culture."