This module introduces the foundational concepts of artificial intelligence through a historical and critical lens, with a focus on machine learning. Students will acquire theoretical foundations and understand how AI is transforming the world of work, design processes, and contemporary society.
The module provides designers with introductory and accessible insights into the fundamentals of Artificial Intelligence, focusing on predictive and generative AI, as well as exploring the ethical implications of AI in design.
Objectives
Understand the basic concepts of Artificial Intelligence.
Distinguish between predictive and generative AI.
Analyze the ethical implications of AI in design.
Evaluate how AI can influence and enhance design processes.
Outcomes
Gain familiarity with the fundamental principles of Artificial Intelligence.
Identify the various applications of AI in design.
Discuss ethical issues associated with the use of AI.
Apply basic AI knowledge to improve design projects.
Ability to analyse and solve complex design-related problems. Basic knowledge of programming concepts and ability to use design software Familiarity with digital tools and online collaboration platforms. Basic knowledge of calculus and statistics. Ability to apply quantitative methods for analysing and solving design problems. Ability to critically evaluate the ethical and practical implications of emerging technologies in design.
The teaching activity will be provided in person through lectures and exercises.
Introduction to AI
Predictive AI
Generative AI
Practical applications
Ethical implications of AI use
Tomaso Poggio, Marco Magrini Cervelli, menti, algoritmi. Il mistero dell'intelligenza naturale, gli enigmi di quella artificiale. Sperling & Kupfer, 2023
Ricevimento: ANNALISA BARLA: on demand, upon explicit request by email
https://corsi.unige.it/corsi/11905/studenti-orario
The timetable for this course is available here: EasyAcademy
The exam consists in the development of a group project that demonstrates understanding of the course content and the ability to apply the acquired tools in a design context.
The evaluation is based on the assessment of:
• Knowledge of key concepts
• Critical analysis skills
Students with disabilities or learning disorders are allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the Delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities. Students are invited to contact the teacher of this course and copy the Delegate (https://unige.it/commissioni/comitatoperlinclusionedeglistudenticondisabilita.html).
