OVERVIEW

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.

AIMS AND CONTENT

LEARNING OUTCOMES

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.

AIMS AND LEARNING OUTCOMES

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.

PREREQUISITES

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.

TEACHING METHODS

The teaching activity will be provided in person through lectures and exercises.

SYLLABUS/CONTENT

• Introduction to AI

• Predictive AI

• Generative AI

• Practical applications

• Ethical implications of AI use

RECOMMENDED READING/BIBLIOGRAPHY

Tomaso Poggio, Marco Magrini 
Cervelli, menti, algoritmi. Il mistero dell'intelligenza naturale, gli enigmi di quella artificiale. 
Sperling & Kupfer, 2023

TEACHERS AND EXAM BOARD

LESSONS

LESSONS START

https://corsi.unige.it/corsi/11905/studenti-orario

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

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.

ASSESSMENT METHODS

The evaluation is based on the assessment of:

• Knowledge of key concepts

• Critical analysis skills

FURTHER INFORMATION

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).