THE 360°AI BLOG

By analysing millions of pieces of data (X-ray images, patient records, etc.) in a matter of seconds, AI promises to diagnose conditions such as autism and multiple sclerosis more quickly, as well as predict their progression and identify new types of diseases.

Behind the enthusiasm for AI, a worrying reality is emerging: suicides, behavioral addictions, and cases of psychological manipulation linked to these tools.

Between promises of efficiency and legitimate fears, it is time to take stock of the real challenges that lie ahead. Employment, ethics, security, democracy: discover the major challenges posed by this unprecedented technological revolution.

For AI to be effective, it needs to learn to grow. There are three main types of learning used to train artificial intelligence. Understanding how AI learning works provides a better understanding of how these computer programs, which are increasingly present in our lives, function.