Abstract

With the progress of Artificial Intelligence, intelligent agents are increasingly being deployed in tasks for which ethical guidelines and moral values apply. As artificial agents do not have a legal position, humans should be held accountable if actions do not comply, implying humans need to exercise control. This is often labeled as Meaningful Human Control (MHC). In this paper, achieving MHC is addressed as a design problem, defining the collaboration between humans and agents. We propose three possible team designs (Team Design Patterns), varying in the level of autonomy on the agent’s part. The team designs include explanations given by the agent to clarify its reasoning and decision-making. The designs were implemented in a simulation of a medical triage task, to be executed by a domain expert and an artificial agent. The triage task simulates making decisions under time pressure, with too few resources available to comply with all medical guidelines all the time, hence involving moral choices. Domain experts (i.e., health care professionals) participated in the present study. One goal was to assess the ecological relevance of the simulation. Secondly, to explore the control that the human has over the agent to warrant moral compliant behavior in each proposed team design. Thirdly, to evaluate the role of agent explanations on the human’s understanding in the agent’s reasoning. Results showed that the experts overall found the task a believable simulation of what might occur in reality. Domain experts experienced control over the team’s moral compliance when consequences were quickly noticeable. When instead the consequences emerged much later, the experts experienced less control and felt less responsible. Possibly due to the experienced time pressure implemented in the task or over trust in the agent, the experts did not use explanations much during the task; when asked afterwards they however considered these to be useful. It is concluded that a team design should emphasize and support the human to develop a sense of responsibility for the agent’s behavior and for the team’s decisions. The design should include explanations that fit with the assigned team roles as well as the human cognitive state.

Highlights

  • The increasing development of Artificial Intelligence (AI) and technological innovations are changing the way artificially intelligent agents are applied

  • Per team design patterns (TDPs) we report on how the expert evaluated the collaboration and the task division

  • Control: Per TDP we report if the domain experts experienced to be in sufficient control to ensure that all decisions were made according to their own personal moral values

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Summary

Introduction

The increasing development of Artificial Intelligence (AI) and technological innovations are changing the way artificially intelligent agents are applied. In morally salient tasks it is considered especially important that humans exert meaningful control over the agent’s behaviour (Russell et al, 2015). When agents are tasked with making morally charged decisions, they need to be under Meaningful Human Control ( on: MHC). This ensures that humans can be held accountable for an agent’s behaviour at any time (Sio and Hoven, 2018). Examples of agents being applied in morally salient tasks can be found in healthcare (Wang and Siau, 2018), autonomous driving (Calvert et al, 2020), AI-based defense systems (Horowitz and Paul, 2015), and in many other societal domains (Peeters et al, 2020)

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