Laboratory: Strategic Ai in Innovation Management
A.Y. 2026/2027
Learning objectives
This lab explores how artificial intelligence can be applied to support innovation processes in organizations. Students will gain hands-on experience with AI tools and learn to assess their strategic, operational, and ethical implications. The course emphasizes practical applications in both corporate and entrepreneurial contexts.
Learning Objectives:
- To understand the role of artificial intelligence in innovation management and organizational processes
- To develop the ability to identify and evaluate AI-driven innovation opportunities in both corporate and entrepreneurial contexts
- To gain hands-on experience with selected AI tools and assess their strategic and operational implications
- To build awareness of ethical, legal, and data-related challenges associated with AI adoption
Learning Objectives:
- To understand the role of artificial intelligence in innovation management and organizational processes
- To develop the ability to identify and evaluate AI-driven innovation opportunities in both corporate and entrepreneurial contexts
- To gain hands-on experience with selected AI tools and assess their strategic and operational implications
- To build awareness of ethical, legal, and data-related challenges associated with AI adoption
Expected learning outcomes
At the end of the lab, students will be able to:
· Apply AI tools to support innovation processes, including opportunity identification, analysis, and implementation
· Critically evaluate the impact of AI on business models, organizational practices, and competitive dynamics
· Translate AI capabilities into actionable business insights and value creation initiatives
· Recognize and manage key risks related to data usage, privacy, and ethical implications of AI
· Apply AI tools to support innovation processes, including opportunity identification, analysis, and implementation
· Critically evaluate the impact of AI on business models, organizational practices, and competitive dynamics
· Translate AI capabilities into actionable business insights and value creation initiatives
· Recognize and manage key risks related to data usage, privacy, and ethical implications of AI
Lesson period: Third trimester
Assessment methods: Giudizio di approvazione
Assessment result: superato/non superato
Single course
This course can be attended as a single course.
Course syllabus and organization
Single session
Lesson period
Third trimester
ECON-07/A - Management - University credits: 3
Lessons: 20 hours