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Ethics and Governance of Neurotechnology in Africa: Lessons From AI

Eke, Damian

Authors

DAMIAN EKE Damian.Eke@nottingham.ac.uk
Transitional Assistant Professor



Abstract

As a novel technology frontier, neurotechnology is revolutionizing our perceptions of the brain and nervous system. With growing private and public investments, a thriving ecosystem of direct-to-consumer neurotechnologies has also emerged. These technologies are increasingly being introduced in many parts of the world, including Africa. However, as the use of this technology expands, neuroethics and ethics of emerging technology scholars are bringing attention to the critical concerns it raises. These concerns are largely not new but are uniquely amplified by the novelty of technology. They include ethical and legal issues such as privacy, human rights, human identity, bias, autonomy, and safety, which are part of the artificial intelligence ethics discourse. Most importantly, there is an obvious lack of regulatory oversight and a dearth of literature on the consideration of contextual ethical principles in the design and application of neurotechnology in Africa. This paper highlights lessons African stakeholders need to learn from the ethics and governance of artificial intelligence to ensure the design of ethically responsible and socially acceptable neurotechnology in and for Africa. (JMIR Neurotech 2024;3:e56665)

Citation

Eke, D. (2024). Ethics and Governance of Neurotechnology in Africa: Lessons From AI. JMIR Neurotechnology, 3, Article e56665. https://doi.org/10.2196/56665

Journal Article Type Article
Acceptance Date Jun 12, 2024
Online Publication Date Aug 29, 2024
Publication Date Aug 29, 2024
Deposit Date Aug 29, 2024
Journal JMIR Neurotechnology
Electronic ISSN 2817-092X
Publisher JMIR Publications
Peer Reviewed Peer Reviewed
Volume 3
Article Number e56665
DOI https://doi.org/10.2196/56665
Keywords neurotechnology; Africa; AI; ethics; governance; ethics dumping; regulations; artificial intelligence
Public URL https://nottingham-repository.worktribe.com/output/38910258
Publisher URL https://neuro.jmir.org/2024/1/e56665