GEN
Strategic framework for systemic design in the artificial intelligence scenario
Description
Artificial intelligence is undoubtedly one of the emerging technologies with the most potential for development in various business sectors. To speak of artificial intelligence is broad. It can be said that artificial intelligence is a field of study within which we find technologies that, viewed as a whole, tend to simulate mechanisms that are entirely proper to human beings such as recognition, problem solving and learning. GEN wants to emphasize a fundamental aspect of doing design, a timeless, unique and inalienable concept of the designer: before a strong sense of aesthetics, artistic sense and manual dexterity, the designer is first and foremost a researcher. Doing research is the profound essence of design that allows it to permeate between different fields, it creates links between various disciplines, between sociology and geometry, between art and production technology. Artificial intelligence represents a revolutionary paradigm in the domain of systemic design, promising to profoundly restructure both the methods and conceptual foundations of this discipline. The aim of this second level thesis derives from the interest in doing research, to therefore create connections to face the challenges of the future with greater awareness, to more easily read social, technological, artistic phenomena in order to give an understanding of one’s own idea through any form (be it textual, be it a technological product, be it a meta technological product, whether it is a meta-project, etc.). The ability of AI to process and analyze large volumes of data with unparalleled accuracy and speed offers a novel lens through which to examine the complexity of systems, allowing designers to identify patterns, trends and relationships that would otherwise be imperceptible. This refinement in systems analysis enhances the creation of more effective, resilient and sustainable design solutions, thus adapting systemic design to the needs of a rapidly changing world. Integrating AI into the systemic design curriculum requires a pedagogical renewal that emphasizes project-based learning and hands-on experimentation, coupled with sound theoretical training. This approach will not only prepare future designers to exploit the potential of AI in solving complex problems but will also make them aware of the ethical responsibilities that accompany the use of such technologies. Artificial intelligence represents a revolutionary paradigm in the domain of systemic design, promising to profoundly restructure both the methods and conceptual foundations of this discipline. With the reflections contained in this handbook, we certainly wish to illuminate concepts to critically analyze design, but, as effectively as possible, it is hoped to make the development of these technologies applicable in a practical and pragmatic manner. The output of the research is based on the importance of the designer as a problem-poser in order to complexify design thinking and, at the same time, revise the purpose of artificial intelligence-based technologies through textual input-output not exclusively as ‘solvers’ of questions posed but generators of questions to ask that ensure the designer is at the centre of design; a technology, so to speak, of collaboration and not of replacement to be juxtaposed with the evaluative and intuitive capacity typical of designers.
