Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Neurotechnology

Date Submitted: Jan 23, 2024
Date Accepted: Jun 12, 2024

The final, peer-reviewed published version of this preprint can be found here:

Ethics and Governance of Neurotechnology in Africa: Lessons From AI

Eke D

Ethics and Governance of Neurotechnology in Africa: Lessons From AI

JMIR Neurotech 2024;3:e56665

DOI: 10.2196/56665

Ethics and Governance of Neurotechnology in Africa: Lessons from AI

  • Damian Eke

ABSTRACT

As a novel technology frontier, neurotechnology is revolutionising 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 the technology. They include ethical and legal issues such as privacy, human rights, human identity, bias, autonomy and safety which are part of the AI 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 (AI) to ensure the design of ethically responsible and socially acceptable neurotechnology in and for Africa.


 Citation

Please cite as:

Eke D

Ethics and Governance of Neurotechnology in Africa: Lessons From AI

JMIR Neurotech 2024;3:e56665

DOI: 10.2196/56665

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.