Abstract: Artificial Intelligence (AI) is helping to deploy various solutions in different areas: independent cars, integrated smart objects, and medical applications are just a few. This article provides an overview of AI and makes two case studies focused on real-world applications. The first case aims to develop robotic prostheses: through the bioelectric signal, it is possible to use deep learning techniques to classify the various movements and reproduce them in a mechanical arm. Development issues should not be limited to technical aspects, and the individual should play a central role in this process. The second study addresses a regression problem where market dynamics are determined with some accuracy. This approach facilitates decision making in predictive models, but it is necessary to create mechanisms that homogeneously ensure competitiveness. The article discusses the technical similarity of each approach, the current challenges, and raises some questions. Although each application has its nature it is necessary to create a solid ethical basis for both.
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