Principles of Social Psichology for Ai Design
A.Y. 2024/2025
Learning objectives
This course aims to provide the students with a perspective on the interdisciplinary nature of AI design and its social implications. It will equip the students with the knowledge and skills to contribute to the development of AI systems that are ethically sound, user-friendly, and aligned with human needs.
Knowledge and understanding
· Gaining an understanding of key theories and concepts in social psychology and how they relate to AI design
· Exploring the impact of AI on human behavior and interactions at an interpersonal, intragroup and intergroup level
· Examining the role of social influence, group dynamics, and user experience in AI design
· Investigating socio-cognitive processes likely to affect person-AI interaction and use
· Analyzing ethical considerations and potential biases in AI algorithms and decision-making
Applying knowledge and understanding
· Developing critical thinking skills to evaluate and improve the social implications of AI systems
· Applying social psychological principles to design AI systems that enhance user experiences at an individual and group level
· Applying social psychological principles to design AI systems that promote ethical practices and reduce social biases
· Understanding and application of best practices
Knowledge and understanding
· Gaining an understanding of key theories and concepts in social psychology and how they relate to AI design
· Exploring the impact of AI on human behavior and interactions at an interpersonal, intragroup and intergroup level
· Examining the role of social influence, group dynamics, and user experience in AI design
· Investigating socio-cognitive processes likely to affect person-AI interaction and use
· Analyzing ethical considerations and potential biases in AI algorithms and decision-making
Applying knowledge and understanding
· Developing critical thinking skills to evaluate and improve the social implications of AI systems
· Applying social psychological principles to design AI systems that enhance user experiences at an individual and group level
· Applying social psychological principles to design AI systems that promote ethical practices and reduce social biases
· Understanding and application of best practices
Expected learning outcomes
At the end of the course, the students are expected to have achieved the following learning objectives:
· Understand the principles and theories of social psychology and their relevance to AI design
· Analyze the impact of AI systems on social behavior, attitudes, and decision-making processes
· Identify and evaluate potential ethical considerations and social implications of AI design in various contexts
· Apply social psychological concepts to improve AI design
· Explore the role of perception, cognition, and social influence in shaping user interactions with AI technologies
· Investigate the influence of biases, stereotypes, and prejudices on AI algorithms and their potential impact on marginalized groups; vice versa, apply social psychological principles to design AI systems that promote inclusivity, diversity, and fairness
· Examine the psychological effects of human-computer interaction and the design principles that can enhance users' trust and satisfaction
· Understand the normative and social psychological factors that influence user acceptance and adoption of AI technologies
· Analyze the role of emotions, empathy, and social connections in AI design and its impact on user engagement
· Collaborate effectively in teams to design and present AI systems that incorporate social psychological principles
· Develop critical thinking skills to promote ethical use of AI systems in society, taking into account the perspectives of different stakeholders
· Understand the principles and theories of social psychology and their relevance to AI design
· Analyze the impact of AI systems on social behavior, attitudes, and decision-making processes
· Identify and evaluate potential ethical considerations and social implications of AI design in various contexts
· Apply social psychological concepts to improve AI design
· Explore the role of perception, cognition, and social influence in shaping user interactions with AI technologies
· Investigate the influence of biases, stereotypes, and prejudices on AI algorithms and their potential impact on marginalized groups; vice versa, apply social psychological principles to design AI systems that promote inclusivity, diversity, and fairness
· Examine the psychological effects of human-computer interaction and the design principles that can enhance users' trust and satisfaction
· Understand the normative and social psychological factors that influence user acceptance and adoption of AI technologies
· Analyze the role of emotions, empathy, and social connections in AI design and its impact on user engagement
· Collaborate effectively in teams to design and present AI systems that incorporate social psychological principles
· Develop critical thinking skills to promote ethical use of AI systems in society, taking into account the perspectives of different stakeholders
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course can be attended as a single course.
Course syllabus and organization
Single session
Lesson period
Second semester
M-PSI/05 - SOCIAL PSYCHOLOGY - University credits: 6
Lessons: 48 hours