Responsible Data Governance of Neuroscience Big Data

Open access article.Current discussions of the ethical aspects of big data are shaped by concerns regarding the social consequences of both the widespread adoption of machine learning and the ways in which biases in data can be replicated and perpetuated. We instead focus here on the ethical issues arising from the use of big data in international neuroscience collaborations. Neuroscience innovation relies upon neuroinformatics, large-scale data collection and analysis enabled by novel and emergent technologies. Each step of this work involves aspects of ethics, ranging from concerns for adherence to informed consent or animal protection principles and issues of data re-use at the stage of data collection, to data protection and privacy during data processing and analysis, and issues of attribution and intellectual property at the data-sharing and publication stages. Significant dilemmas and challenges with far-reaching implications are also inherent, including reconciling the ethical imperative for openness and validation with data protection compliance and considering future innovation trajectories or the potential for misuse of research results. Furthermore, these issues are subject to local interpretations within different ethical cultures applying diverse legal systems emphasising different aspects. Neuroscience big data require a concerted approach to research across boundaries, wherein ethical aspects are integrated within a transparent, dialogical data governance process. We address this by developing the concept of “responsible data governance,” applying the principles of Responsible Research and Innovation (RRI) to the challenges presented by the governance of neuroscience big data in the Human Brain Project (HBP)

Beyond Research Ethics: Dialogues in Neuro-ICT Research

open access articleThe increasing use of information and communication technologies (ICTs) to help facilitate neuroscience adds a new level of complexity to the question of how ethical issues of such research can be identified and addressed. Current research ethics practice, based on ethics reviews by institutional review boards (IRB) and underpinned by ethical principlism, has been widely criticized. In this article, we develop an alternative way of approaching ethics in neuro-ICT research, based on discourse ethics, which implements Responsible Research and Innovation (RRI) through dialogues. We draw on our work in Ethics Support, using the Human Brain Project (HBP) as empirical evidence of the viability of this approach

Accompanying technology development in the Human Brain Project:From foresight to ethics management

This paper addresses the question of managing the existential risk potential of general Artificial Intelligence (AI), as well as the more near-term yet hazardous and disruptive implications of specialised AI, from the perspective of a particular research project that could make a significant contribution to the development of Artificial Intelligence (AI): the Human Brain Project (HBP), a ten-year Future and Emerging Technologies Flagship of the European Commission. The HBP aims to create an ICT-based scientific research infrastructure for brain research, cognitive neuroscience, and brain-inspired computing. This paper builds on work undertaken in the HBP’s Ethics and Society subproject (SP12). Collaborators from two activities in SP12, Foresight and Researcher Awareness on the one hand, and Ethics Management on the other, use the case of machine intelligence to illustrate key aspects of the dynamic processes through which questions of ethics and society, including existential risks, are approached in the organisational context of the HBP. The overall aim of the paper is to provide practice-based evidence, enriched by self-reflexive assessment of the approach used and its limitations, for guiding policy makers and communities who are, and will be, engaging with such questions

Responsible Data Governance of Neuroscience Big Data

Current discussions of the ethical aspects of big data are shaped by concerns regarding the social consequences of both the widespread adoption of machine learning and the ways in which biases in data can be replicated and perpetuated. We instead focus here on the ethical issues arising from the use of big data in international neuroscience collaborations. Neuroscience innovation relies upon neuroinformatics, large-scale data collection and analysis enabled by novel and emergent technologies. Each step of this work involves aspects of ethics, ranging from concerns for adherence to informed consent or animal protection principles and issues of data re-use at the stage of data collection, to data protection and privacy during data processing and analysis, and issues of attribution and intellectual property at the data-sharing and publication stages. Significant dilemmas and challenges with far-reaching implications are also inherent, including reconciling the ethical imperative for openness and validation with data protection compliance and considering future innovation trajectories or the potential for misuse of research results. Furthermore, these issues are subject to local interpretations within different ethical cultures applying diverse legal systems emphasising different aspects. Neuroscience big data require a concerted approach to research across boundaries, wherein ethical aspects are integrated within a transparent, dialogical data governance process. We address this by developing the concept of “responsible data governance,” applying the principles of Responsible Research and Innovation (RRI) to the challenges presented by the governance of neuroscience big data in the Human Brain Project (HBP)

Beyond Research Ethics: Dialogues in Neuro-ICT Research

The increasing use of information and communication technologies (ICTs) to help facilitate neuroscience adds a new level of complexity to the question of how ethical issues of such research can be identified and addressed. Current research ethics practice, based on ethics reviews by institutional review boards (IRB) and underpinned by ethical principlism, has been widely criticized. In this article, we develop an alternative way of approaching ethics in neuro-ICT research, based on discourse ethics, which implements Responsible Research and Innovation (RRI) through dialogues. We draw on our work in Ethics Support, using the Human Brain Project (HBP) as empirical evidence of the viability of this approach

Reconstructing animal husbandry: Trauma in Meleagris gallopavo (domestic turkey) ulnae from the American Southwest (c. 900–1678 CE)

Palaeopathological and metrical analyses of faunal remains have the potential to illuminate features of past husbandry practices including demography, stocking, injury and care, housing, transport and movement, diet, and breeding. This paper presents the results of metrical and palaeopathological analyses of turkey (Meleagris gallopavo) remains from nine assemblages excavated from sites across the American Southwest. Metrical data demonstrate variation in the size and overall morphology of turkeys across these sites and support the idea that meat production was not the sole purpose for turkey husbandry. The most frequently occurring type of lesion in any skeletal element was trauma (physical injury), and 36% of these pathologies were present in ulnae. Lesions in ulnae at five sites provide evidence for the possibility that feathers were harvested from live turkeys at some sites

Urban Animals: Human-Poultry Relationships in Later Post-Medieval Belfast

Live animals were a ubiquitous feature of post-medieval cities and provided a variety of products to a broad cross-section of society. Poultry species were portable and accessible to people of modest means. Yet, the quotidian presence of poultry contrasts with the lack of attention to urban animal husbandry. Zooarchaeological data from the faunal assemblage from St. Anne’s Square, a 0.77 ha seventeenth to early twentieth-century site in Belfast, combined with historical legislation, court records, and news sheets held by the Public Record Office of Northern Ireland reveal the complexity of and contradictions implicit in poultry-human relationships in Belfast and nearby areas

The ethics of human-chicken relationships in video games

In this paper, we look at the historical place that chickens have held in media depictions and as entertainment, analyse several types of representations of chickens in video games, and draw out reflections on society in the light of these representations. We also look at real-life, modern historical, and archaeological evidence of chicken treatment and the evolution of social attitudes with regard to animal rights, and deconstruct the depiction of chickens in video games in this light

Chickens in Video Games: Archaeology and ethics inform upon complex relationships

This article describes the results of a qualitative analysis of the presence and portrayals of chickens in video games. It examines the relationships between chickens as digital beings and human players, as well as the context of chickens within different game environments. This study uses archaeological and historical evidence to demonstrate the complexity inherent in human-chicken relationships over time and the tensions between temporally-contingent welfare expectations and those present in video games, as well as highlighting problematic ways in which chickens are depicted. It employs an applied ethics approach to identifying key issues of concern and suggesting alternative ways of portraying and interacting with chickens in video games