Responsibility key to implementing guidelines for treating disorders of consciousness
A disorder of consciousness is a state where consciousness has been affected by devastating damage to the brain. The diagnosis and health care of patients suffering from these disorders raise several clinical as well as ethical issues. And researchers are still looking for ways to solve them. Recent guidelines, European and American, offer important recommendations…
Indicators and criteria of consciousness for behaviourally unresponsive patients
Identifying and quantifying residual consciousness in patients with disorders of consciousness is notoriously challenging but increasingly urgent. There is a high rate of misdiagnosis among patients suffering from these disorders, particularly between vegetative states/unresponsive wakefulness syndrome and minimally conscious states. A recent BMC Medical Ethics publication explores how operational indicators previously introduced to assess consciousness…
Constructing an EU agency for AI
Artificial intelligence (AI) offers great promise in terms of societal and economic benefits. But it also raises numerous ethical and human rights concerns as the technology might inherit and exacerbate flaws that are already present in society. There have been numerous calls for the regulation and legislation of AI, most prominently the EU’s 2021 proposal…
The neuroethics contribution to AI ethics and regulation
The AI ethics research field is growing rapidly. So is the number of guidelines issued to provide operational recommendations to manage the ethical issues raised by AI design, development and implementation. In a recent Neuroethics publication, Michele Farisco, Kathinka Evers and Arleen Salles suggest some of the applied issues covered by these guidelines can in…
Increasingly big data & the pressing need for international data governance of neuroscience
Understanding the brain requires great effort and the scale of neuroscience research projects is increasing to scale. This means crossing borders in big international research initiatives, and as a result being subject to national and international laws, regulations and policies in both data collection and transfer. While neuroscience data transcends borders, data governance typically stays…
Digital twins & virtual brains: the importance of conceptual clarity and transparency
Researchers are trying to develop digital twins of the human brain by building so-called ‘virtual brains’. Trying to create virtual copies of such a complex organ, that we know increasingly yet still very little about is a great challenge. In a recent publication, Kathinka Evers and Arleen Salles explore philosophical and neuroethical challenges associated with…
Engage with citizens about the future of neuroscience!
From November 2021 to March 2022, the Danish Board of Technology is organising citizen engagement workshops about international research collaboration and sharing of health data in neuroscience on site in 6 European countries (Denmark, Spain, Hungary, Italy, Germany & the UK). They are now inviting experts in neuroscience, neuromedicine, health data and data sharing to…
Become a dialogue host: Bring home the debate about the future of brain research
From October to the end of December 2021, more than 700 citizens from five EU member states (Denmark, Germany, Italy, Hungary, and Spain) and the UK will take part in dialogue meetings in GlobalSay on brain research. The dialogue meetings is a part of the Human Brain Project and our efforts to be responsive to…
Social, ethical & reflective work in the HBP: The publications list
The HBP is characterised by a profound and broad interdisciplinarity, and it is unique among the large international Brain Initiatives in having included social sciences and humanities in the core research from its very beginning, devoting approximately 5% of the budget to this end. We have compiled a list of all articles, books, and reports related…
Neuroimages, artificial intelligence & re-identification of research subjects
Taking images of the brain using magnetic resonance imaging, or MRI for short, also captures the face. For a long time, techniques that remove facial features from neuroimages have allowed for open sharing of anonymised neuroimages. But new developments in artificial intelligence and machine learning have made it possible to re-create the removed facial features…
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