Integrating neural organoids and AI: increasing the risk of artificial consciousness or medical malpractice?

Integrating neural organoids with AI models creates AI-NO systems that hold promise for biological research and clinical decisions. However, public and scholarly discussion often fixates on speculative concerns about consciousness and moral status, overshadowing more immediate ethical issues. This article argues for focusing on empirically grounded ethical problems: using AI-generated data to plan research or discover drugs on organoids, analyzing organoid data with AI, and using AI to control interventions on organoids in open- or closed-loop configurations. It also examines how AI-NO systems might affect clinical decision-making, urging attention to practical governance and ethical challenges rather than distant hypotheticals.

Study at a glance

Abstract

Neural organoids can be integrated with AI models in various formats, termed AI-NO systems. Neural organoids and AI are each high impact research fields which may play significant roles in biological research and clinical decision making. However, their potential benefits, pitfalls and associated governance structures are often overshadowed by highly speculative discourse over the possibility of them developing some form of consciousness and subsequently acquiring a level of moral status. This article examines the cause for this speculative discourse, arguing for a focus on more immediate, empirically grounded ethical issues. It describes potential ethical issues when data obtained from AI models is used for research planning and drug discovery on neural organoids; when AI models are used to analyze data obtained from neural organoids; and when AI models are used to control interventions on neural organoids in open- or closed-loop configurations. It concludes with an investigation on how AI-NO systems may impact clinical decision making.