> For the complete documentation index, see [llms.txt](https://library.xrguild.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://library.xrguild.org/neurotechnology-brain-tech-and-ethical-challenges/ethics-and-governance-of-neurotechnology-in-africa-lessons-from-ai.md). # Ethics and Governance of Neurotechnology in Africa: Lessons From AI Neurotechnology, as a cutting-edge field, is transforming our understanding of the brain and nervous system. ## Overview **Authors:** Damian Eke **Publication Date:** 22 January 2024 **Link:** **Keywords:** Neurotechnology, Africa, AI, ethics, governance, ethics dumping, regulations, artificial intelligence **Type:** Peer-Reviewed Journals/White Papers ## Summary Neurotechnology, as a cutting-edge field, is transforming our understanding of the brain and nervous system. With increasing public and private investments, a growing ecosystem of direct-to-consumer neurotechnologies is emerging globally, including in Africa. However, as these technologies expand, scholars in neuroethics and emerging technology ethics are raising critical concerns. While many of these issues—such as privacy, human rights, identity, bias, autonomy, and safety—are not new, they are amplified by the novelty of neurotechnology and overlap with discussions in AI ethics. A key challenge is the lack of regulatory oversight and the limited exploration of context-specific ethical principles in the design and use of neurotechnology in Africa. This paper emphasizes the importance of learning from AI ethics and governance to develop neurotechnologies that are ethically responsible and socially appropriate for African contexts. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://library.xrguild.org/neurotechnology-brain-tech-and-ethical-challenges/ethics-and-governance-of-neurotechnology-in-africa-lessons-from-ai.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.