Abstract
Researchers in digital ethics argue that precedents of the activity of network users create biases in the behavior of both human and artificial intelligence. The hypothesis of the study states that biases cause violations of the rules of ethics, which provoke incorrect assessments for artificial intelligence statements in social networks, working with headlines and articles in online media, content dangerous for children, etc. The portability of AI ethics rules can improve communication and decision making when evaluating text, ideas, and even technologies, while the electronic document is a "live" template and is already there.