The cooperation and the challenge of artificial intelligence

The topic of artificial intelligence is certainly among the most popular ones in the conferences of recent months having suddenly undermined the popular one only a year ago and related to industry 4.0 (Floridi, 2019). Actually, it should be immediately underlined that the two arguments are decisively related to each other, not only because they have a common matrix linked to being born of innovation on the technological front, but also because the data management and the generation of “adequate, albeit complex algorithms” appears to be the common element that often leads to seeing initiatives related to the “world of industry 4.0”, associated with strong investments aimed to enhance data collection, analysis and interpretation capabilities and research ever-increasing forms of automation and self-regulation of business processes. It is evident that the technology has a central role in the digital transformation, but it should be underlined that the challenge should not be dealt with only through investments that lead to the introduction of new technologies, it is equally clear that for the purpose of affirming the innovation that artificial intelligence and digitalization entail, it is necessary above all the capacity of directing and using the innovation, in order that it should be “useful” to the people (from workers to customers up to those who interface with other companies for other reasons), that is one company culture oriented towards these new practices and considering them as opportunities instead of a danger for their own experience