Des (Mag.)(ord. 270) - BV (1262) DIGITAL AND INTERACTION DESIGN
055191 - ENVISIONING AI THROUGH DESIGN
The educational objective of the Design Studio is to acquire the skills for imagining and designing innovative projects which leverage AI technologies. The design process develops from an initial research phase to ideation and finally prototyping and will provide students with a clear understanding of the different requirements of an interactive service that includes AI systems. The Design studio will cover a wide range of project activities carried out in groups and supervised by the teaching staff.
Risultati di apprendimento attesi
Students will acquire the following competences: - knowledge and understanding - applying design methods and tools for ideating an interactive system that relevantly incorporates AI, and that is meaningful according to the user perspective, the technological perspective and the market perspective; - making judgements - knowing the current potential of AI and being able to critically assess the relevance of introducing this technology into an interactive system; understanding what AI can currently do, what the different applicative domains are, what features it can have and being able to work in team with computer scientists on this topic; - communication skills - autonomously and in group, students develop the ability to present and discuss their projects and the attitude to negotiation in teamwork.
The aim of the design studio is for students to learn the possibilities of including AI for various purposes to design innovative solutions for public services, private businesses, or personal devices. To achieve this, the first part of the Design Studio provides a set of basic skills in service design, characteristics of data, and social studies jointly with an introduction to the fundaments of AI. This allows students to progress in the course acquiring a systemic and informed point of view, leading them to recognize and analyze AI in existing solutions around them. The second part is focused on analyzing and discussing case studies of AI deployed or in development in the private and public sectors. Unpacking and retro-engineering the cases will help understand the challenges and requirements of these services both in social and technical terms. The final step is the creative application of the socio-technical notions acquired to new situations, designing human-machine relationships in contexts that have a high social value and significance.
Going through this process, enriched by important lectures from external speakers, the class pushes students to reflect critically and work on at least the following SDGs:
Goal 11: Sustainable Cities and Communities
Goal 8: Decent work and economic growth
Goal 12: Responsible Consumption and production
Goal 13: Climate action
The course will use a blended learning approach, suggesting readings and other materials through which students can deepen knowledge independently in preparation for discussions during project reviews and tutorials. Students will work in groups. Teachers will deliver theoretical lectures and engage in regular and systematic project reviews.
It is desirable that students have already mastered soft skills like collaborative problem solving, negotiation, team building, and public speaking. It is recommended to have mastered all learning coming from the first semester courses in the same Study Course.
Modalità di valutazione
The evaluation will be based on the quality and content of the results achieved throughout the Design Studio.
In particular, the evaluation will concern: the understanding developed about potential use and application of AI, the coherence between the concept and the promise of AI, the quality of the final project (i.e., communication, technical understanding and development, prototype).
The course is organized into three exercises, each of which lasts for about a month and receives an evaluation. These three evaluations determine a starting grade with which students present themselves for the oral interview. This is held at the end of the studio and concerns all topics covered during the course, as well as a critical analysis of the three exercises.
Domingos P., The Master Algorithm. How the Quest for the Ultimate Learning Machine will remake our world, Editore: Bollati Boringhieri editore, Anno edizione: 2016
Preece, J., Rogers, Y., Sharp, H., Interaction design: beyond human- computer interaction, Editore: Wiley, Anno edizione: 2015
Schifferstein, N.R.J., Ekkert, P., Product Experience, Editore: Elsevier Science, Anno edizione: 2012
Huang, M-H. and Rust, R.T., Artificial intelligence in service, Editore: Journal of Service Research, Anno edizione: 2018, Fascicolo: 21(2)
Nessun software richiesto
Tipo Forma Didattica
Ore di attività svolte in aula
Ore di studio autonome
Laboratorio Di Progetto
Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese