The Politics of Regulation in the Age of AI - Henri Verdier
▻https://ai-regulation.com/the-politics-of-regulation-in-the-age-of-ai
National sovereignty and independence are also at stake when it comes to AI, which has long been a major focus for tech leaders across industries. Big corporations across every sector, from retail to agriculture, are trying to integrate machine learning into their products. At the same time, there is an acute shortage of AI talent, as evoked earlier. This combination is fueling a heated race to scoop up top AI startups, many of which are still in the early stages of research and funding. Developing our own AI applications, technologies and infrastructure, as well as building and promoting a European model of regulation worldwide based on our European values is crucial to guarantee our digital sovereignty. To do so, we must analyze data, which fuels AI. We need to evaluate how data is created, and how it can be used to better serve our economy and our citizens. This implies sovereign cloud solutions and easier transfers of data, which can be achieved with the creation of common data spaces. At the European scale, this could take the shape of a common market of data. In addition, Europe needs to grasp the potential that the exploitation of “non-personal data”, or industrial data, represents.