Data independence

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GAFAs are trying to propose their own solutions, even if Google 's Advanced Technology External Advisory Council (ATEAC) was not a great success, dissolved barely a week after its creation. Facebook , for its part, announced in January the creation of an “Institute for the Ethics of Artificial Intelligence”, in collaboration with the Technical University of Munich. Industries are also collaborating with each other.

In Germany, insurance companies are working bolivia mobile database together on the subject of AI, particularly on cultural transformation. To be credible in its ethical claims , Europe needs to be strong and efficient in the AI ​​sector. One of the key areas for this is also the control of data , today often hosted on platforms in the hands of tech giants.


In “ AI Super Powers ”, published in September 2018, Kai-Fu Lee explains that Baidu and Alibaba alone hold more data than the United States and Europe combined . One of the foundations for an independent European AI is also sovereignty in the management of our data. The more data we have, the better trained the AI ​​is. The success of AI is based on the sharing of data produced by the thousands every second (mobility, social networks, IoT, health data). For Bertrand Pailhès, pilot of the national strategy in Artificial Intelligence, the most important challenge is to make the use of this data “ acceptable ”. An objective that can only be achieved through transparency and trust.