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Governing Neuro-AI : Towards an Infrastructure Approach

Biller-Andorno, Nikola ; do Ceu Patrao Neves, Mario ; Laukyte, Migle ; Łuków, Paweł ; Molnar-Gabor, Fruzsina ; Murphy, Thérèse LU ; Prainsack, Barbara ; Sahlin, Nils-Eric LU ; Sharon, Tamar and van den Hoven, Jeroen , et al. (2026)
Abstract
This Statement by the European Group on Ethics in Science and New Technologies (EGE) focuses on the rise of advanced neuro-AI infrastructures—the integrated systems of hardware and software through which neurodata are collected, processed and reused to create, deploy and manage AI-powered neurotechnology applications. Its central concern is how existing rights and ethical principles should be operationalised in relation to emerging neuro-AI infrastructures, including questions of European technological sovereignty, public-interest infrastructures and democratic accountability.

The Statement shifts the emphasis from neurodata privacy and isolated devices or applications to the collective impacts of neuro-AI infrastructures. It... (More)
This Statement by the European Group on Ethics in Science and New Technologies (EGE) focuses on the rise of advanced neuro-AI infrastructures—the integrated systems of hardware and software through which neurodata are collected, processed and reused to create, deploy and manage AI-powered neurotechnology applications. Its central concern is how existing rights and ethical principles should be operationalised in relation to emerging neuro-AI infrastructures, including questions of European technological sovereignty, public-interest infrastructures and democratic accountability.

The Statement shifts the emphasis from neurodata privacy and isolated devices or applications to the collective impacts of neuro-AI infrastructures. It argues that we must move beyond a focus on data governance and recognise that the convergence of neurodata, neurotechnology and AI infrastructures requires a policy response that takes a systemic approach across regulatory domains. Therefore, the EGE recommends: explicitly listing neurodata and neurodata-derived inferences as a distinct category of sensitive data, establishing specific governance requirements for Brain Foundation Models, Human (centric) Foundation Models, and neuro-AI infrastructures, establishing clear prohibitions where neuro-AI systems are used in consequential contexts, building European public-interest governance capacity for neuro-AI infrastructure, and conducting a targeted review of existing regulatory frameworks.

This Statement is published in the context of the Ethics Advice Mechanism (EthAM), which provides independent ethical advice and policy recommendations to European institutions on any topics where policymaking intersects with the development of science and technology. (Less)
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type
Book/Report
publication status
published
subject
pages
46 pages
publisher
European Commission
DOI
10.2777/8619693
language
English
LU publication?
yes
id
7fa98407-31e3-45a9-994f-645ea2f4aec8
alternative location
https://op.europa.eu/en/publication-detail/-/publication/e26e631f-ab29-11f1-b9e5-01aa75ed71a1/language-en#
date added to LUP
2026-10-21 16:13:11
date last changed
2026-10-21 16:18:52
@techreport{7fa98407-31e3-45a9-994f-645ea2f4aec8,
  abstract     = {{This Statement by the European Group on Ethics in Science and New Technologies (EGE) focuses on the rise of advanced neuro-AI infrastructures—the integrated systems of hardware and software through which neurodata are collected, processed and reused to create, deploy and manage AI-powered neurotechnology applications. Its central concern is how existing rights and ethical principles should be operationalised in relation to emerging neuro-AI infrastructures, including questions of European technological sovereignty, public-interest infrastructures and democratic accountability. <br/><br/>The Statement shifts the emphasis from neurodata privacy and isolated devices or applications to the collective impacts of neuro-AI infrastructures. It argues that we must move beyond a focus on data governance and recognise that the convergence of neurodata, neurotechnology and AI infrastructures requires a policy response that takes a systemic approach across regulatory domains. Therefore, the EGE recommends: explicitly listing neurodata and neurodata-derived inferences as a distinct category of sensitive data, establishing specific governance requirements for Brain Foundation Models, Human (centric) Foundation Models, and neuro-AI infrastructures, establishing clear prohibitions where neuro-AI systems are used in consequential contexts, building European public-interest governance capacity for neuro-AI infrastructure, and conducting a targeted review of existing regulatory frameworks. <br/><br/>This Statement is published in the context of the Ethics Advice Mechanism (EthAM), which provides independent ethical advice and policy recommendations to European institutions on any topics where policymaking intersects with the development of science and technology.}},
  author       = {{Biller-Andorno, Nikola and do Ceu Patrao Neves, Mario and Laukyte, Migle and Łuków, Paweł and Molnar-Gabor, Fruzsina and Murphy, Thérèse and Prainsack, Barbara and Sahlin, Nils-Eric and Sharon, Tamar and van den Hoven, Jeroen and Vidalis, Takis}},
  institution  = {{European Commission}},
  language     = {{eng}},
  title        = {{Governing Neuro-AI : Towards an Infrastructure Approach}},
  url          = {{http://dx.doi.org/10.2777/8619693}},
  doi          = {{10.2777/8619693}},
  year         = {{2026}},
}