AI-Assisted Ethics? Considerations of AI Simulation for the Ethical Assessment and Design of Assistive Technologies

TL;DR

This paper proposes an AI simulation approach to assist ethical reflection in designing assistive technologies, enabling context-sensitive analysis of complex values and behaviors before implementation.

Contribution

It introduces a novel AI simulation methodology combining behavioral data, empirical value statements, and visualization to inform ethical assessment and design of assistive tech.

Findings

Simulation helps identify ethical trade-offs in complex settings

Supports re-evaluation of design and implementation plans

Enhances traditional ethical thought experiments

Abstract

Current ethical debates on the use of artificial intelligence (AI) in health care treat AI as a product of technology in three ways: First, by assessing risks and potential benefits of currently developed AI-enabled products with ethical checklists; second, by proposing ex ante lists of ethical values seen as relevant for the design and development of assisting technology, and third, by promoting AI technology to use moral reasoning as part of the automation process. Subsequently, we propose a fourth approach to AI, namely as a methodological tool to assist ethical reflection. We provide a concept of an AI-simulation informed by three separate elements: 1) stochastic human behavior models based on behavioral data for simulating realistic settings, 2) qualitative empirical data on value statements regarding internal policy, and 3) visualization components that aid in understanding the impact of changes in these variables. The potential of this approach is to inform an interdisciplinary field about anticipated ethical challenges or ethical trade-offs in concrete settings and, hence, to spark a re-evaluation of design and implementation plans. This may be particularly useful for applications that deal with extremely complex values and behavior or with limitations on the communication resources of affected persons (e.g., persons with dementia care or for care of persons with cognitive impairment). Simulation does not replace ethical reflection but does allow for detailed, context-sensitive analysis during the design process and prior to implementation. Finally, we discuss the inherently quantitative methods of analysis afforded by stochastic simulations as well as the potential for ethical discussions and how simulations with AI can improve traditional forms of thought experiments and future-oriented technology assessment.