Neural Implants & Brain–Computer Interfaces: Enhancing Human Intelligence or Violating Free Will?

Year : 2026 | Volume : 16 | Issue : 01 | Page : 13 18
    By

    Shreeya Sampada Nayak,

  • Vansh,

  • Tushar,

  • Yogesh Pilwan,

  • Jyoti Kumari,

  1. Student, Department of Computer Application, Echelon Institute of Technology, Faridabad, Haryana, India
  2. Student, Department of Computer Application, Echelon Institute of Technology, Faridabad, Haryana, India
  3. Student, Department of Computer Application, Echelon Institute of Technology, Faridabad, Haryana, India
  4. Student, Department of Electrical Engineering, Echelon Institute of Technology, Faridabad, Haryana, India
  5. Assistant Professor, Department of Computer Application, Echelon Institute of Technology, Faridabad, Haryana, India

Abstract

The integration of neural implants with artificial intelligence creates opportunities to develop new implants and enhance current nanotechnologies. Although these advances hold significant potential for restoring neurological functions, they also introduce important ethical concerns. The rapid advancements in neural implants and brain–computer interfaces [BCIs] are revolutionizing human cognition, enabling enhanced intelligence, communication, and even thought-driven control of external devices. Although these technologies offer great promise in enhancing human abilities, they also bring serious ethical issues, especially related to autonomy and free will. This paper explores the duality of neural augmentation – whether it represents the pinnacle of human advancement or an intrusion upon fundamental freedoms. By analyzing current scientific developments, case studies, and ethical frameworks, we investigate whether BCIs empower individuals by expanding cognitive potential or pose risks of external manipulation and loss of self-determination. As society navigates the convergence of neuroscience and artificial intelligence, this discourse aims to assess the balance between innovation and ethical integrity in shaping the future of human intelligence.

Keywords: Artificial intelligence, brain–computer interface, ethics, neural implants, neuroprosthetics

[This article belongs to Research and Reviews: A Journal of Neuroscience ]

How to cite this article:
Shreeya Sampada Nayak, Vansh, Tushar, Yogesh Pilwan, Jyoti Kumari. Neural Implants & Brain–Computer Interfaces: Enhancing Human Intelligence or Violating Free Will?. Research and Reviews: A Journal of Neuroscience. 2026; 16(01):13-18.
How to cite this URL:
Shreeya Sampada Nayak, Vansh, Tushar, Yogesh Pilwan, Jyoti Kumari. Neural Implants & Brain–Computer Interfaces: Enhancing Human Intelligence or Violating Free Will?. Research and Reviews: A Journal of Neuroscience. 2026; 16(01):13-18. Available from: https://journals.stmjournals.com/rrjons/article=2026/view=240712


References

  1. Van Stuijvenberg OC, Broekman MLD, Wolf SEC, Bredenoord AL, Jongsma KR. Developer perspectives on the ethics of AI-driven neural implants: A qualitative study. Sci Rep. 2024;14(1):7880. doi: 10.1038/s41598-024-58535-4.
  2. Maiseli B, Abdalla AT, Massawe LV, Mbise M, Mkocha K, Nassor NA, et al. Brain–computer interface: Trend, challenges, and threats. Brain Inform. 2023;10:20. doi: 10.1186/s40708-023-00199-3.
  3. Valeriani D, Santoro F, Ienca M. The present and future of neural interfaces. Front Neurorobot. 2022;16:953968. doi: 10.3389/fnbot.2022.953968.
  4. Musk E, Neuralink. An integrated brain–machine interface platform with thousands of channels. J Med Internet Res. 2019;21(10):e16194.
  5. Singh SY. Review paper on BCIs. Int J Eng Res Technol. 2015;Conv3(IS10):102. doi: 10.17577/IJERTCONV3IS10102.
  6. Peksa J, Mamchur D. State of the art on BCI technology. Sensors (Basel). 2023;23(13):6001. doi: 10.3390/s23136001.
  7. Onciul R, Tataru CI, Dumitru AV, Crivoi C, Serban M, Covache-Busuioc RA, et al. Artificial intelligence: Transformative synergies in brain research. J Clin Med. 2025;14(2):550. doi: 10.3390/jcm14020550.
  8. Tekin U, Dener M. A bibliometric analysis of studies on AI in neuroscience. Front Neurol. 2025;16:1474484. doi: 10.3389/fneur.2025.1474484.
  9. Li PH, Lee JCK. AI, brain, and child: Navigating the intersection of AI and neuroscience. AI Brain Child. 2025;1:3. doi: 10.1007/s44436-025-00004-4.
  10. Carnegie Mellon University. Robotics Institute [Internet]. Pittsburgh (PA): Carnegie Mellon University; [cited 2026 Feb 11]. Available from: https://www.ri.cmu.edu/
  11. Emerging technologies in AI and neuroscience [Internet]. [cited 2026 Feb 11]. Available from: https://www.techbriefs.com
  12. Carnegie Mellon University. Machine Learning Department [Internet]. Pittsburgh (PA): Carnegie Mellon University; [cited 2026 Feb 11]. Available from: https://www.ml.cmu.edu
  13. Bhat VB. Brain implants: An overview on the advancements and neuroethics. J Neurosurg. 2015;123(4):1026–1032. doi: 10.3171/2015.7.JNS151026.
  14. Singh S. Exploring the potential of brain implants. J Neurosci Neuropharmacol. 2023;9(1):189. doi: 10.4172/2469-9780.2023.9.1.189.
  15. Shimba K, Chang CH, Asahina T, Moriya F, Kotani K, Jimbo Y, et al. Functional scaffolding for brain implants. Front Neurosci. 2019;13:890. doi: 10.3389/fnins.2019.00890.
  16. Raspopovic S, Ienca M, Valle G. Advances and challenges in brain implant technology. Lancet Digit Health. 2025;7(1):e1–e10.
Regular Issue Subscription Review Article
Volume 16
Issue 01
Received 11/11/2025
Accepted 17/02/2026
Published 19/03/2026
Publication Time 128 Days
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