From the Digital Data Revolution toward a Digital Society: Pervasiveness of Artificial Intelligence

Technological progress has led to powerful computers and communication technologies that penetrate nowadays all areas of science, industry our private lives. As a consequence, these are generating digital traces data amounting big resources. This opens unprecedented opportunities but also challenges toward the analysis, management, interpretation responsible usage such data. In this paper, we discuss developments fields have been particularly effected by revolution. Our discussion is AI-centered showing domain-specific prospects intricacies for method development in artificial intelligence. For instance, recent breakthroughs deep learning algorithms intelligence as well advances text mining natural language processing, e.g., word-embedding methods enable processing large amounts from diverse sources governmental reports, blog entries social media or clinical health records patients. Furthermore, necessity further improving general approaches utilizing advanced paradigms. leads arguments establishment statistical Finally, provide an outlook on important aspects future crucial importance fields, including ethical AI influence bias systems. potential end-point development, define society asymptotic limiting state economy emerges fully connected information enabling pervasiveness AI. Overall, provides perspective elaborate relatedness