The dichotomous, almost dystopian scenario that we face when we look at the current framework of technological develop- ment poses increasingly pressing questions for what regards the relationship that we, as a human kind, have with the digitised automation of our lives. Internet, robotics, data cloud computing and artificial intelligence are tools widely used in our society, however, we are not yet able to really get into this innovation and while we are looking for solutions, we do not live without a certain sense of inadequacy: we exploit innovation but got to come partly dependent on it, up to the point of producing social effects, sometimes even harmful. The intelligent human-machine relationship becomes a topic for further investigation when applied to the field of design and artefacts production, whereas in traditionally passive tech- nological environments humans work actively, determining conscious choices: the introductions of artificial intelligence determines a habits shift because it transforms the values in the field, it upsets them. Starting from principles and methods in some of the scenarios in which design traditionally acts, i.e. production, multidiscipli- nary connective relations, designed innovation, the application of collaborative strategies between human and artificial intelli- gence is hypothesized. It is therefore suggested an experiment useful to bring out the potential of the relationship between human beings and machines in place of the predisposition of rules of conduct that fix the roles by freezing them in the recipients and determining in fact the failure. The output scenario offers food for thought on values, power relations, connections and on how much local action is comple- mentary to a global complexity that can no longer be evaded; there, design in its bidirectional relations between subjects and components, provides on field experimental solutions, working closely to the subjects directly involved.

Human-Machine Co-Living / Valpreda, Fabrizio; Cataffo, Marco. - In: DIID. DISEGNO INDUSTRIALE INDUSTRIAL DESIGN. - ISSN 1594-8528. - ELETTRONICO. - 67:(2019), pp. 144-151.

Human-Machine Co-Living

Valpreda Fabrizio;Cataffo Marco
2019

Abstract

The dichotomous, almost dystopian scenario that we face when we look at the current framework of technological develop- ment poses increasingly pressing questions for what regards the relationship that we, as a human kind, have with the digitised automation of our lives. Internet, robotics, data cloud computing and artificial intelligence are tools widely used in our society, however, we are not yet able to really get into this innovation and while we are looking for solutions, we do not live without a certain sense of inadequacy: we exploit innovation but got to come partly dependent on it, up to the point of producing social effects, sometimes even harmful. The intelligent human-machine relationship becomes a topic for further investigation when applied to the field of design and artefacts production, whereas in traditionally passive tech- nological environments humans work actively, determining conscious choices: the introductions of artificial intelligence determines a habits shift because it transforms the values in the field, it upsets them. Starting from principles and methods in some of the scenarios in which design traditionally acts, i.e. production, multidiscipli- nary connective relations, designed innovation, the application of collaborative strategies between human and artificial intelli- gence is hypothesized. It is therefore suggested an experiment useful to bring out the potential of the relationship between human beings and machines in place of the predisposition of rules of conduct that fix the roles by freezing them in the recipients and determining in fact the failure. The output scenario offers food for thought on values, power relations, connections and on how much local action is comple- mentary to a global complexity that can no longer be evaded; there, design in its bidirectional relations between subjects and components, provides on field experimental solutions, working closely to the subjects directly involved.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2836385