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Riya Choudhary, Sheetal Choudhary, Prakriti Kulshrerstha, Sanjeev Patwa
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- Student, Student, Student, Associate Professor, Department of Computer Science and engineering, Mody University of Science and Technology, Laxmangarh, Department of Computer Science and engineering, Mody University of Science and Technology, Laxmangarh, Department of Computer Science and engineering, Mody University of Science and Technology, Laxmangarh, Department of Computer Science and engineering, Mody University of Science and Technology, Laxmangarh, Rajasthan, Rajasthan, Rajasthan, Rajasthan, India, India, India, India
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Abstract
nThis study addresses the ethical considerations and social implications of brain-computer interface (BCI) development and integration. BCIs sometimes called a brain-computer interface (BMI) or smart brain, is a direct communication path between the brain and electrical activity and an external device, usually a computer or robotic limb. BCIs are often directed towards researching, mapping, assisting, improving, or correcting human cognitive or sensorimotor functions. The implementation of BCIs varies from non-invasive and partially invasive to invasive, depending on how close the electrodes come to the brain tissue.
These revolutionary technologies create direct communication between the brain and external devices, offering unprecedented opportunities to improve human capabilities. The article explores the ethical nuances of BCI and addresses issues such as geoprivacy, data ownership and potential unauthorized use. As BCIs challenge traditional concepts of privacy, the paper explores how these interfaces can redefine this concept in the digital age. The research aims to promote a balanced debate by ensuring that the ethical dimensions of BCI are carefully designed to harness their transformative potential while protecting fundamental human values. By examining studies related to BCIs that employ social research methods, we seek to demonstrate the multitude of approaches and concerns from various angles in consideration of BCIs. As this is a review paper there is no analysis in-cooperated.
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Keywords: BMIs, MEG, EEG Signals, ECoG, functional near-infrared spectroscopy (fNIRS)
n[if 424 equals=”Regular Issue”][This article belongs to Journal of Computer Technology & Applications(jocta)]
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References
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| Volume | 15 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 01 | |
| Received | February 23, 2024 | |
| Accepted | March 6, 2024 | |
| Published | April 5, 2024 |
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