ABSTRACT
Artificial intelligence (AI) has become widespread in investigations in synthetic biology (SB) and DNA editing study, from predicting the probability of a target location to predicting the outcome of specific genome repairs. Basically, the essential elements of an AI tool for studying genomes include specific algorithms, the assessment of prediction accuracy, and the interoperability of treated data. This chapter presents how SB with AI shares some theoretical questions from the prediction point, where both of them in specific interconnection aim to produce autonomous systems whose products can successfully communicate, following an open context. It is also shown how recent genome-editing research follows parallelism between the genetic code and information theory, where genome editing is considered as a kind of programming, knowing that programming is par excellence information science. These technologies are the most powerful human technology ever created. Therefore, various ethical problems become particularly important because abuse of these technologies can destroy the entire planet’s life. At the same time, this technology can cause many changes that will enrich human life, solving the issues of many incurable serious and hereditary diseases.
