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

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.

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Publication Details

Journal
Frontiers in Molecular Neuroscience
Published
2026-03-04
DOI
https://doi.org/10.3389/fnmol.2026.1767365
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Alexander R. Harris, Patrick McGivern, Frederic Gilbert, Kyle C. A. Wedgwood
Frontiers in Molecular Neuroscience
Artificial Intelligence in Healthcare and Education
article

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

Alexander R. Harris, Patrick McGivern, Frederic Gilbert, Kyle C. A. Wedgwood
article en

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.

Frontiers in Molecular NeuroscienceVol. 19
University of Tasmania (AU), The University of Melbourne (AU), University of Wollongong (AU), University of Exeter (GB), Living Systems (United States) (US)
UK Research and Innovation
Peace, Justice and strong institutions
Openalex Percentile: Top 36%
Artificial Intelligence in Healthcare and Education
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