Master's Degree in Human-Centered Artificial Intelligence
Milan, Italy
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
30 Sep 2024
EARLIEST START DATE
Oct 2024
TUITION FEES
Request tuition fees
STUDY FORMAT
On-Campus
Introduction
It's a Joint Master’s Degree launched by the Universities of Milan, Milano-Bicocca and Pavia, with a highly innovative and international character, delivered entirely in English.
The goal is to train individuals with the interdisciplinary skills necessary to integrate artificial intelligence applications into the human context in which they are used. The modes of teaching include, in addition to frontal teaching in the form of lectures and exercises, seminars and group work, laboratories and a stage.
Gallery
Admissions
Curriculum
- AI and Human Decision-Making
- Ai, Ethics and Law
- Brain and Cognition
- Machine Learning
- Mathematics for Ai
- Workshop: Programming Lab
A1 - 1 exam to choose among:
- Knowledge Representation and Reasoning
- Natural Language Processing
- Programming
A2 - 1 exam to choose among:
- Logics for Ai
- Philosophy of Cognitive Neuroscience
- The Epistemology of Big Data
A3 - 6 ECTS in:
- Principles of Social Psychology for AI Design
- Additional Language Skills: French
- Additional Language Skills: German
- Additional Language Skills: Spanish
- Additional Language Skills: Italian
Curriculum: AI And Law
- Final Exam
Curriculum: NEURO AI
- Ai and Human Decision-Making
- Ai, Ethics and Law
- Brain and Cognition
- Brain Modelling for Biomedicine and Ict
- Machine Learning
- Neurophysiology and Biophysics for Ai
- Workshop: Programming Lab
C1 - 1 exam to choose among:
- Knowledge Representation and Reasoning
- Natural Language Processing
- Programming
C2 - 1 exam to choose among:
- Logics for Ai
- Philosophy of Cognitive Neuroscience
- The Epistemology of Big Data
- Additional Language Skills: French (3 ECTS)
- Additional Language Skills: German (3 ECTS)
- Additional Language Skills: Spanish (3 ECTS)
- Additional Language Skills: Italian (3 ECTS)
Optional programme year
A5 - 1 workshop to choose between:
- Workshop: Software Tools for Machine Learning
- Workshop: Software Tools for Statistics
A6 - 1 exam to choose among:
- Ai in Education
- Media Theory and Ai
- Technological Transfer
A7 - 1 exam to choose among:
- Affective Computing
- Human-Computer Interaction
- Knowledge Representation and Reasoning
- Natural Language Processing
- Text and Argument Mining
A8 - 1 exam to choose among:
- Anthropology of Ai
- Smart Contracts and Intellectual Property Law
- Sociology of Ai
A9 - 1 workshop to choose between:
- Workshop: Data Visualization
- Workshop: Team Management
A9 - 1 - 3 ECTS to be earned through a stage or a workshop among the ones offered by the course
Program Outcome
Human-centred 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 centres 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.
The overall goal of this master's degree program is to train new professionals capable of accompanying the widespread diffusion of Artificial Intelligence in the professional world, enabling the reasonable and responsible integration of new technologies into the human context in which they are to be used. This integration 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 real-world contexts.
The aim is to train bridging figures between the hard skills of experienced developers and the soft skills needed to integrate AI applications into the human context in which they are deployed.
Graduates in Human-Centered AI will possess:
- Significant education in the disciplines characterizing the interaction between human cognition and AI
- Thorough understanding of the most advanced methods of data collection and analysis (machine learning)
- Thorough understanding of the theoretical, technical, and cognitive aspects of human-computer interfaces
- Ability to design models and interventions for the reorganization of interfaces between humans and AI systems
- Ability to independently conduct research activities in the field of artificial intelligence
- Ability to fluently use, in written and oral form, at least one language of the European Union besides Italian, with reference also to the terminology of the field
- Thorough knowledge of the theoretical and operational nature of communication and decision-making processes based on the use of artificial intelligence systems
- Knowledge of the principles and the main methodologies of AI at a level adequate to interact fruitfully with computer scientists and connect them with domain experts
- Thorough understanding of the non-technical aspects such as ethical issues, legal constraints, cognitive aspects, philosophical foundations, and neuroscientific foundations associated with the use of AI technologies to support, not replace, humans and their activities
- Familiarity with the main applications of AI in the work context (business, health care, legal) and with the tools that enable informed and transparent interactions between humans and machines
Program Tuition Fee
Career Opportunities
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
- Organizing the Division of Tasks and the Ways of Cooperation between Humans and Machines, Taking into Account Psychological, Ethical, Sociological, and Cultural Aspects
- Translating Stakeholders' Needs in Order to Elaborate Appropriate AI-Based Development Projects within an Organization or Company
- Proposing Coaching and Training Sessions to Illustrate to Employees the Benefits That Human-Machine Hybrid Teams Can Bring to the Organization
- Coordinating Collaboration with External Consultants (Economists, Sociologists, Analysts)
- Proposing New Performance Indicators to Assess the Effectiveness of Hybrid Teams
- Properly Assessing 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 Based on the Logical-Epistemological, Cognitive, and Computing Foundations of Artificial Intelligence
- Ability to Use Data Analysis and Visualization 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
Employment Outlets: The Master's Graduate Will Be Able to Find Employment as an AI Contact Person in Small and Medium-Sized Companies, in Enterprises and Corporate Groups, Including Those with a Transnational Dimension, in Public Administrations, Independent Authorities, and National, EU and International Agencies. He or She May Also Serve as a Freelance Consultant.
Expert in Neuro-AI
Function in a Work Setting
- Using 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
- Overseeing the Training Activities of Healthcare Personnel by Fostering the Growth and Dissemination of an "AI Culture."
- Adequately Evaluating the Ethical, Psychological, and Social Aspects Related to the Introduction of Artificial Intelligence in the Health and Social Context
Competencies Associated with the Function
- Ability to Make Decisions Based on the Neuroscientific, Cognitive, and Computer Science Foundations of AI
- Ability to Analyze and Visualize Data, in the Context of Human-Computer Interaction
- Ability to Coordinate a Team Composed of Computer Scientists and Domain Experts
- Ability to Apply AI in the Field of Medicine
Employment Outlets: Clinical Facilities, Both Public and Private, Neuroscience Centers, R&D Departments Developing Digital and Technological Platforms for Personalized and Precision Medicine, ICT Departments in the Biomedical Field.
Expert in AI and Law
Function in a Business Context
- Applying AI Techniques within the Relevant Legal Framework of Public Agencies, Private Organizations, or International Organizations
- Advising Policy-Making Bodies and IT Practitioners on the Protection of Rights in Data Collection and Analysis Operations and Algorithmic Decision-Making Processes
- Overseeing 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
- Performing Discrimination Prevention and Data Protection Oversight Functions
- Overseeing Staff Training Activities by Fostering the Growth and Dissemination of an "AI Culture."
Skills Associated with the Function
- Ability to Make Decisions Based on the Legal, Ethical, Cognitive, and Computer Science Foundations of AI
- Ability to Work through AI Methodologies Employed in Public and Private Organizations
- Ability to Seize Opportunities for the Development of Artificial Intelligence, Overseeing Any Civil or Criminal Liability Profiles Arising from Its Use
- Ability to Coordinate a Team Composed of IT Experts and Domain Experts
- Ability to Interact with Managers, IT Experts, and Users of Public and Private Organizations Employing AI Techniques in Order to Oversee the Protection of the Rights at Stake
Employment Outlets: Corporations and Corporate Groups, Including Those of Transnational Dimension; Public Administrations; Independent Authorities and National, EU and International Agencies; Self-Employed.