  The article proposes a new type of AI system that does not give solutions
directly but rather points toward it, friendly prompting the user with
questions and adjusting messages. Models of AI human collaboration can be
deduced from the classic literary example of interaction between Mr. Holmes and
Dr. Watson from the stories by Conan Doyle, where the highly qualified expert
Mr. Holmes answers questions posed by Dr. Watson. Here Mr. Holmes, with his
rule-based calculations, logic, and memory management, apparently plays the
role of an AI system, and Dr. Watson is the user. Looking into the same
Holmes-Watson interaction, we find and promote another model in which the AI
behaves like Dr. Watson, who, by asking questions and acting in a particular
way, helps Holmes (the AI user) make the right decisions. We call the systems
based on this principle "Dr. Watson-type systems." The article describes the
properties of such systems and introduces two particular: Patient Management
System for intensive care physicians and Data Error Prevention System.
