“Through a social and technological dialogue, it is possible to define a collective ethics of the use of AI”

IMagine a world of work where the employee would bring his work tool himself: the worker would install his own machine in the workshop, the employee would connect his own PC and provide his paper and his pens. Even better, now imagine that these same employees have new colleagues come to their workplace, working for them or with them without even that they have signed an employment contract and that the employer is really aware.

Dystopia? However, this is what is happening today with the introduction of artificial intelligence (AI) in our professional lives. Far from the fantasies or the vertigo caused by the debates on the prospects for massive use of AI, more and more employees use each day, concretely, a generative AI to assist them in their work. Here to refine a presentation, there to create a task to be accomplished in an Excel spreadsheet, again to write a response to an unhappy customer, or find information on a still poorly controlled theme.

So far we imagined often to impose ia, such as Elon Musk taking control of our lives; The reality is different: employees master the machine much more than we thought. Some will see the workers to shape the channels themselves that will enslave them by machine, I rather see the opportunity for them to improve their work environment. The directions have often – and for once – a delay in AI: many companies have placed it at the heart of their priorities for 2025, without further knowing what are the needs and the use cases. They bet on “Spontaneous innovation”and wait for their employees to return their needs and possible AI applications.

Beyond the first basic uses described above, the trend today is to allow AI to exercise more expert tasks by operating the data from companies and without leaking them. In short, that the useful but a little too generalist colleague that is generative today becomes an expert assistant to the activity of a business or a profession. In this sense, AI is therefore not just a technical subject, but much more a problem of work.

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