> 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/neurotechnology-and-the-battle-for-your-brain.md). # Neurotechnology and the Battle for Your Brain Imagine a world where epilepsy warnings arrive before seizures, painful memories can be erased, and addiction is easily cured. ## Overview **Authors:** Farahany, Nina. A **Publication Date:** 17 June 2023 **Link:** **Keywords:** Neurotechnology ethics, BCI ethics, neuroethics and AI, cognitive liberty, brain data science, human augmentation ethics, neural implants and ethical issues **Type:** Video ## Summary Imagine a world where epilepsy warnings arrive before seizures, painful memories can be erased, and addiction is easily cured. Yet, this same technology could expose political beliefs, use thoughts as evidence, and turn feelings against you. Neuroscience has already made this possible, and neurotechnology is poised to become the ultimate interface between mind and machine. But without safeguards, it threatens privacy, freedom of thought, and self-determination. Join Professor Nita Farahany as she explores the legal and ethical dilemmas of this rapidly advancing field—and what’s at stake for our fundamental rights. --- # 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/neurotechnology-and-the-battle-for-your-brain.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.