If the code hurts: on pain and virtual brains

Abstract The creation of virtual brains has long attracted the attention of the scientific community. Over time, various projects have aimed to produce brain simulations of varying complexity. These scientific efforts have often been accompanied by lively philosophical debates highlighting the ethical implications of brain simulations, such as their moral status, the possibility of developing consciousness and personhood, and concerns about unethical experimentation. In particular, the possibility that a highly complex virtual brain could experience pain has been a central concern, especially in the context of the Human Brain Project. This paper presents a conceptual analysis that traces the legacy of this debate and situates it within the current scientific context. The issue warrants renewed attention for two reasons. First, the literature has generally treated pain as an abstract concept, without situating it within a specific theoretical framework. Second, recent technologies for medical purposes, such as digital brain twins, promise to connect virtual brains with their biological brains, offering new perspectives on the question of pain. Adopting a mixed conception of pain that integrates the sensory and affective dimensions, two requirements for experiencing pain can be extrapolated. These requirements are then implemented in a comparative conceptual analysis to examine three different virtual brain architectures. The findings suggest that, from a theoretical standpoint, highly advanced virtual brains connected in real time to their biological counterparts could experience psychological pain.

Authors

Institutions

Publication Details

Journal
AI and Ethics
Published
2026-04-27
DOI
https://doi.org/10.1007/s43681-026-01063-w
Primary Topic
Neuroethics, Human Enhancement, Biomedical Innovations
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

If the code hurts: on pain and virtual brains

Giuseppe Comerci
AI and Ethics
Neuroethics, Human Enhancement, Biomedical Innovations
article

If the code hurts: on pain and virtual brains

Giuseppe Comerci
article en

Abstract

Abstract The creation of virtual brains has long attracted the attention of the scientific community. Over time, various projects have aimed to produce brain simulations of varying complexity. These scientific efforts have often been accompanied by lively philosophical debates highlighting the ethical implications of brain simulations, such as their moral status, the possibility of developing consciousness and personhood, and concerns about unethical experimentation. In particular, the possibility that a highly complex virtual brain could experience pain has been a central concern, especially in the context of the Human Brain Project. This paper presents a conceptual analysis that traces the legacy of this debate and situates it within the current scientific context. The issue warrants renewed attention for two reasons. First, the literature has generally treated pain as an abstract concept, without situating it within a specific theoretical framework. Second, recent technologies for medical purposes, such as digital brain twins, promise to connect virtual brains with their biological brains, offering new perspectives on the question of pain. Adopting a mixed conception of pain that integrates the sensory and affective dimensions, two requirements for experiencing pain can be extrapolated. These requirements are then implemented in a comparative conceptual analysis to examine three different virtual brain architectures. The findings suggest that, from a theoretical standpoint, highly advanced virtual brains connected in real time to their biological counterparts could experience psychological pain.

AI and EthicsVol. 6(3)
University of Bonn (DE)
Rheinische Friedrich-Wilhelms-Universität Bonn
Openalex Percentile: Top 9%
Neuroethics, Human Enhancement, Biomedical Innovations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.