A Practical Approach to Identifying Ethical and Social Problems During Research and Development
A Model for a National Research Project of Brain-Machine Interface
Bibliographic Data
| ID | 16860262 |
|---|---|
| Authors | Nozomi Mizushima (0000-0003-0730-3007, The University of Tokyo, corresponding author), Osamu Sakura (0000-0002-2781-7956, The University of Tokyo) |
| Year | 2012 |
| Volume | 6 |
| Issue | 3 |
| Pages | 335-345 |
| Publication date | 2012-09-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | East Asian Science Technology and Society An International Journal (JOURNAL) |
| Journal identifiers | ISSN: 1875-2152 • E-ISSN: 1875-2160 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1215/18752160-1730938 |
| OpenAlex | W2055376226 |
| Language | EN |
| Citations received | 1 |
| References cited | 13 |
In spite of growing interest in neuroethics, the process of research and development (R&D) is not focused enough on the context of ethical, legal, and social issues. These processes present a unique and largely overlooked opportunity to integrate ethical and societal considerations into interactions with these technologies. We implemented a research ethics consultation during the R&D phase of Japan's national project for brain-machine interfaces; our goal was to capture the ethical and social concerns of researchers in the early stages of R&D. Furthermore, we analyzed the project's structure and found two specific features related to the researchers' ethical and social concerns: (1) the segmented structure of the project and (2) the nested structure of the project. We argue that this insight has the potential to provide neuroethics with a better understanding of R&D as well as more effective intervention strategies
Brain research · Brain–computer interface · Data science · Engineering ethics · Engineering management · Human–computer interaction · Interface (matter · Knowledge management · Management science · Research development · Social research · Social science · Sociology · Computer Science · EEG and Brain-Computer Interfaces · Engineering · Neuroethics, Human Enhancement, Biomedical Innovations · Neuroscience · Neuroscience and Neural Engineering · Psychology · Ecology
| Citations per year | 0.2 |
|---|---|
| Citation span | 2021 - 2021 (1) |
| Highly cited | No |