The Need for a Conceptual Expansion of Neuroethics

Salles, Arleen; Evers, Kathinka; Farisco, Michele

doi:10.1080/21507740.2019.1632972

Cited by 8 publications

(6 citation statements)

References 4 publications

(3 reference statements)

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“…This is because neuroethics attempts to provide collective answers to ethical, legal and social implications of neuroscientific research [ 25 ]. Neuroethics overlaps with traditional biomedical ethics to a substantive level and all too often it is taken to be a subfield of applied ethics [ 26 ]. However, previous research has shown that neuroethical research is larger in scope and in methodological approaches and calls for a conceptual expansion of neuroethics to accommodate progress being made in neuroscience.…”

Section: Conceptsmentioning

confidence: 99%

The ethical and legal landscape of brain data governance

2022

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Neuroscience research is producing big brain data which informs both advancements in neuroscience research and drives the development of advanced datasets to provide advanced medical solutions. These brain data are produced under different jurisdictions in different formats and are governed under different regulations. The governance of data has become essential and critical resulting in the development of various governance structures to ensure that the quality, availability, findability, accessibility, usability, and utility of data is maintained. Furthermore, data governance is influenced by various ethical and legal principles. However, it is still not clear what ethical and legal principles should be used as a standard or baseline when managing brain data due to varying practices and evolving concepts. Therefore, this study asks what ethical and legal principles shape the current brain data governance landscape? A systematic scoping review and thematic analysis of articles focused on biomedical, neuro and brain data governance was carried out to identify the ethical and legal principles which shape the current brain data governance landscape. The results revealed that there is currently a large variation of how the principles are presented and discussions around the terms are very multidimensional. Some of the principles are still at their infancy and are barely visible. A range of principles emerged during the thematic analysis providing a potential list of principles which can provide a more comprehensive framework for brain data governance and a conceptual expansion of neuroethics.

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Section: Conceptsmentioning

confidence: 99%

The ethical and legal landscape of brain data governance

2022

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“…Through the efforts of the HBP, EBRAINS is intended to integrate neuroethics and philosophical analysis to enhance the neuroscientific work ( Evers, 2009 ; Salles et al, 2019a , b ). Philosophical analysis provides clarification of scientific concepts such as behavior, intelligence, digital twin and consciousness and explores how neuroscientific knowledge is constructed, what are its underlying assumptions and how they are justified, how results may be interpreted, and why or how empirical knowledge of the brain can be relevant to philosophical, social, and ethical concerns ( Pennartz, 2015 ; Salles et al, 2019b ).…”

Section: Collaborative Perspectivesmentioning

confidence: 99%

Linking Brain Structure, Activity, and Cognitive Function through Computation

Amunts

DeFelipe

Pennartz

et al. 2022

eNeuro

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“…Fundamental neuroethics takes as a starting point the view that conceptual analysis plays an important role not only in illuminating key operative notions (e.g. consciousness, self, and human identity), but also in examining issues such as what is the understanding of the same notions in different contexts (i.e., ethics and neuroscience) and their mutual relevance, how neuroscientific knowledge is constructed, what its underlying assumptions are and how they are justified, how results may be interpreted, and why or how empirical knowledge of the brain can be relevant to philosophical, social, and ethical concerns [26,31,32].…”

Section: An Excursion Into Neuroethicsmentioning

confidence: 99%

On the Contribution of Neuroethics to the Ethics and Regulation of Artificial Intelligence

2022

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Contemporary ethical analysis of Artificial Intelligence (AI) is growing rapidly. One of its most recognizable outcomes is the publication of a number of ethics guidelines that, intended to guide governmental policy, address issues raised by AI design, development, and implementation and generally present a set of recommendations. Here we propose two things: first, regarding content, since some of the applied issues raised by AI are related to fundamental questions about topics like intelligence, consciousness, and the ontological and ethical status of humans, among others, the treatment of these issues would benefit from interfacing with neuroethics that has been addressing those same issues in the context of brain research. Second, the identification and management of some of the practical ethical challenges raised by AI would be enriched by embracing the methodological resources used in neuroethics. In particular, we focus on the methodological distinction between conceptual and action-oriented neuroethical approaches. We argue that the normative (often principles-oriented) discussion about AI will benefit from further integration of conceptual analysis, including analysis of some operative assumptions, their meaning in different contexts, and their mutual relevance in order to avoid misplaced or disproportionate concerns and achieve a more realistic and useful approach to identifying and managing the emerging ethical issues.

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The Need for a Conceptual Expansion of Neuroethics

Cited by 8 publications

References 4 publications

The ethical and legal landscape of brain data governance

The ethical and legal landscape of brain data governance

Linking Brain Structure, Activity, and Cognitive Function through Computation

On the Contribution of Neuroethics to the Ethics and Regulation of Artificial Intelligence

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