Now showing items 1-7 of 7
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 ...
Managing Ethics in the HBP: A Reflective and Dialogical Approach
The Role of Ethics in the Data Governance of Large Neuro-ICT Projects
(Oxford University Press, 2018-05-14)
Objective We describe current practices of ethics-related data governance in large neuro-ICT projects, identify gaps in current practice, and put forward recommendations on how to collaborate ethically in complex regulatory ...
Civil Society Organisations in Research: A Literature-based Typology
This article explores literatures from various sources to highlight and understand differences among key players surrounding the perceived nature and role of civil society in research from different literature streams. ...
Improving brain computer interface research through user involvement - The transformative potential of integrating civil society organisations in research projects
(PLOS ONE, 2017-02-06)
Research on Brain Computer Interfaces (BCI) often aims to provide solutions for vulnerable populations, such as individuals with diseases, conditions or disabilities that keep them from using traditional interfaces. Such ...
Ethics Management and Responsible Research and Innovation in the Human Brain Project
(Edward Elgar Publishing, 2017)
Responsible research and innovation (RRI) is a key concept in current discourses concerning research governance and policy. The practice of Ethics Management in the European Union (EU) Future and Emerging Technologies ...
Is European Data Protection Regulation sufficient to deal with emerging data concerns relating to neurotechnology?
(Oxford University Press, 2020)
Research-driven technology development in the fields of the neurosciences presents interesting and potentially complicated issues around data in general, and brain data specifically. The data produced from brain recordings ...