John McCarthy first coined the term “artificial intelligence” (AI) in 1956 at a conference in Dartmouth. AI means that machines can mirror the functions of the human brain in various applications such as problem-solving in Mathematics. Since then, interest in AI has grown exponentially over the years. Recently, Apple published an AI paper of its own, describing improvements in image recognition training through the use of computer-generated images in place of real-world images. Machine learning is a branch of AI that is concerned with taking large bodies of data and using it to train software for purposes of identification. Machine learning is thought to be a predecessor, or a pre-requisite, to AI. There are concerns about the rise of AI, but there are clear benefits to its use. The bottom line is, should we trust it?
In this article ENAGO invite us to reflect on the impact of AI techniques into the academic and research activities. Will be prepared technically and ethically to get the most advantages from this new era?