Dr. Watson type Artificial Intellect (AI) Systems

TL;DR

This paper introduces 'Dr. Watson-type' AI systems that assist users by prompting questions and guiding decision-making, inspired by Holmes-Watson interactions, with applications in healthcare and data management.

Contribution

It proposes a novel AI interaction model based on literary Holmes-Watson dynamics, emphasizing user-guided problem solving rather than direct solutions.

Findings

Defined properties of Dr. Watson-type systems

Developed a Patient Management System for intensive care

Created a Data Error Prevention System

Abstract

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.