Keywords
Brain-Machine Interfaces; Brain-Computer Interfaces; Neuroethics; ethics; neuroscience; technology
Abstract
Brain Machine Interfaces (BMI) are a rapidly developing technology that raise unique ethical issues that demand review. They have demonstrated impressive restorative potential, particularly for individuals living with epilepsy, and those who are locked in. Although BMIs have the potential to provide significant benefit to millions of users, further advancement of the technology should proceed cautiously, according to the guidelines outlined in this paper. Failure to adhere to ethical guidelines could lead to severe privacy concerns, and would violate moral principles of beneficence, virtue ethics, care ethics, and utilitarianism. Despite the moral risks, BMIs hold promise for reshaping future healthcare delivery.
Thesis Completion Year
2024
Thesis Completion Semester
Spring
Thesis Chair
Favela, Luis
Department
Philosophy
Thesis Discipline
Philosophy
Language
English
Access Status
Open Access
Length of Campus Access
None
Campus Location
Orlando (Main) Campus
STARS Citation
Lynn, Devon J., "The Ethics of Brain-Machine Interfaces" (2024). Honors Undergraduate Theses. 17.
https://stars.library.ucf.edu/hut2024/17
Included in
Bioethics and Medical Ethics Commons, Biotechnology Commons, Neuroscience and Neurobiology Commons, Philosophy Commons