The studio aims to introduce the student to the use of artificial intelligence tools for architectural design. The theoretical contents of the workshop will develop a reflection on the different design phases in which artificial intelligence can be introduced and the various roles it can play in the conception process through three-dimensional modeling. From an applicative point of view, the student will be trained in the critical use of specific tools and software (e.g. for the guided generation of images from text and visual references), providing a theoretical basis and highlighting the limits and potential of the different approaches.

- Specific lexical skills useful for defining the design idea, the spatial conception through modeling and the description of the elements related to the use of software. - Awareness of the terms of the contemporary debate on the role of AI in the design process. - Ability to interpret the project program through digital modeling. - Ability to communicate the design conception path and the final design proposal. - Knowledge of the theoretical foundations of generative AI models and approaches used. - Creation of effective text input for software tools based on LLMs and GenAI (prompt-engineering). - Aware critical use of the software tools introduced for the guided generation of images.

Must have: Knowledge of techniques and software for 3D geometric modeling (Autocad) Nice to have: Knowledge of techniques and software for parametric modeling (e.g. Grasshopper, Rhinoceros, Revit, Fusion, Solidworks, ArchiCad) and/or Polygonal (e.g. Blender, Maya, 3Ds…), image editing (e.g. Photoshop, Gimp).

The studio includes a first phase consisting of the lexical description of the project program that will be the basis for the elaboration of the prompting, a second phase will consist of the generation of an initial project proposal and its subsequent redefinition (fine tuning), and a third phase will produce a critical reflection on the project path with the highlighting of the potential and critical points of the tools used.

The studio is structured in three successive phases/exercises that contribute to the definition of the final project. Each phase involves the alternation of theoretical lessons and practical/applicative activities that involve all three disciplines included in the atelier. The exercises will be carried out through collective and individual reviews as well as through in-class exercises. Regular attendance at the in-class exercises is essential to gain the expected learning outcomes. The exercises will be carried out in small groups of 3-4 students defined by the teaching staff.

Materials, Resources, and Slides provided by the teachers. Stanislas Chaillou, Artificial Intelligence and Architecture - From Research to Practice, Birkhauser 2022. Further references provided by the teaching staff during the semester.

Modalità di esame: Prova orale obbligatoria; Elaborato progettuale individuale; Elaborato progettuale in gruppo;

Exam: Compulsory oral exam; Individual project; Group project;

... The exam is carried out through a brief discussion of the individual and group project path, documented by graphic and digital works, supported by the presentation of the various materials, including intermediate ones, produced by the student during the atelier and by a discussion on the contents of the bibliography provided during the semester and the theoretical lessons of the three different disciplinary contributions. The individual contribution to the final project will also be assessed based on a peer evaluation process. The assessment will take into account the following aspects, assessed on the basis of the final and intermediate works produced, individually and in groups, discussed during the final interview: - Specific lexical skills useful for defining the project idea, the spatial conception through modeling and the description of the elements related to the use of software. - Awareness of the terms of the contemporary debate on the role of AI in the design process. - Ability to interpret the project program through digital modeling. - Ability to communicate the design concept path and the final design proposal. - Knowledge of the theoretical foundations of generative AI models and approaches used. - Creation of effective text input for software tools based on LLMs and GenAI (prompt-engineering). - Aware critical use of the software tools introduced for guided image generation.

Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.