Position: addressing ethical challenges and safety risks in GenAI-powered brain-computer interfaces
File(s)
Published version
OA Location
Author(s)
Barmpas, Konstantinos
Zoumpourlis, Georgios
Panagakis, Ioannis
Adamos, Dimitrios
Laskaris, Nikolaos
Type
Conference Paper
Abstract
The use of Generative AI (GenAI) in developing large brainwave foundation models for Brain-Computer Interfaces (BCIs) offers enormous potential but also comes with several key safety and ethical concerns. This work identifies these
challenges and highlights cases of potential misuse of GenAI in BCIs, including synthetic neural activity, behaviour profiling, privacy and equality risks. Finally, it emphasizes the importance of essential safeguarding techniques to mitigate these risks, such as innovative technological solutions and proper regulatory and ethical frameworks.
challenges and highlights cases of potential misuse of GenAI in BCIs, including synthetic neural activity, behaviour profiling, privacy and equality risks. Finally, it emphasizes the importance of essential safeguarding techniques to mitigate these risks, such as innovative technological solutions and proper regulatory and ethical frameworks.
Date Issued
2024-10-12
Date Acceptance
2024-10-10
Citation
2024, pp.1-9
Start Page
1
End Page
9
Copyright Statement
© 2024 The Author(s). This paper is available under a CC-BY licence (https://creativecommons.org/licenses/by/4.0/)
License URL
Source
NeurIPS 2024 Workshop on GenAI for Health: Potential, Trust and Policy Compliance
Publication Status
Published
Start Date
2024-12-14
Coverage Spatial
Vancouver, Canada
Date Publish Online
2024-10-12