Artificial intelligence in basic and clinical neuroscience: Opportunities and ethical challenges.
Open accessAbstract
The analysis of large amounts of personal data with artificial neural networks for deep learning is the driving technology behind new artificial intelligence (AI) systems for all areas in science and technology. These AI methods have evolved from applications in computer vision, the automated analysis of images, and now include frameworks and methods for analyzing multimodal datasets that combine data from many different source, including biomedical devices, smartphones and common user behavior in cyberspace. For neuroscience, these widening streams of personal data and machine learning methods provide many opportunities for basic data-driven research as well as for developing new tools for diagnostic, predictive and therapeutic applications for disorders of the nervous system. The increasing automation and autonomy of AI systems, however, also creates substantial ethical challenges for basic research and medical applications. Here, scientific and medical opportunities as well ethical challenges are summarized and discussed.
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The more information about one's mental activity is available to third parties, the more likely that content and timing of stimuli might be optimised for persuasive impact.
“For example, the more information about one’s mental activity and patterns is available to third parties, the more likely (as one concern goes) that content and timing of stimuli might be optimised for persuasive impact [41,42].”
From Ethical considerations for the use of brain–computer interfaces for cognitive enhancement (2024) · cites this paper as [41]
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- Authors
- Kellmeyer, P.
- Affiliations
- University of Freiburg (DE)
- Corresponding author
- Kellmeyer, Philipp
- ORCID
- Kellmeyer, Philipp
- Venue
- Neuroforum
- Publisher
- Walter de Gruyter GmbH
- Published
- 2019-11-26
- Volume
- 25
- Issue
- 4
- Pages
- 241-250
- ISSN
- 0947-0875 (ISSN-L)
- 2363-7013
- OpenAlex
- W2971569172
- Cited by
- 45
- References
- 7
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 6 · 2023: 15 · 2022: 6 · 2021: 6 · 2019: 1
- FWCI
- 1.05
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- e-Neuroforum (publishedVersion, cc-by)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- artificial intelligence in neuroscience, deep learning, artificial neural networks, ethical considerations, personal data, multimodal data, biomedical devices, smartphone data, data-driven research, neurological diagnosis, neurotherapeutics
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