An Approach to Joint Hybrid Decision Making between Humans and Artificial Intelligence

TL;DR

This paper introduces a framework for joint hybrid decision making between humans and AI, emphasizing integrated design and agent engineering to enhance collaboration and decision competence.

Contribution

It proposes a novel decision-making framework that models humans and AI as agents and develops a design space for their integration.

Findings

Defines a general concept of intelligence based on decision competence.

Introduces the joint hybrid intelligence design space and agent patterns.

Discusses the extended swarming approach as an example pattern.

Abstract

Due to the progress in artificial intelligence, it is important to understand how capable artificial agents should be used when interacting with humans, since high level authority and responsibility often remain with the human agent. However, integrated frameworks are lacking that can account for heterogeneous agents and draw on different scientific fields, such as human-factors engineering and artificial intelligence. Therefore, joint hybrid intelligence is described as a framework abstracting humans and artificial intelligence as decision making agents. A general definition of intelligence is provided on the basis of decision making competence being applicable to agents of different sorts. This framework is used for proposing the interrelated design space of joint hybrid intelligence being aimed at integrating the heterogeneous capabilities of humans and artificial intelligence. At the core of this design space lies joint agent engineering with the goal of integrating the design subspaces operator training, artificial intelligence engineering, and interface design via developing joint agent patterns. The ''extended swarming'' approach to human-swarm interaction is discussed as an example of such a pattern.