USING DIGITAL TECHNOLOGIES TO ENHANCE TRANSPARENCY AND ACCOUNTABILITY IN HUMAN BIOMECHANICAL MODIFICATIONS
Keywords:
human enhancement technologies, biomechanical modification, blockchain, artificial intelligence, accountability, transparency, control, regulation, ethicsAbstract
In the current era of advancing information technology, groundbreaking technologies such as neural implants, bionic limbs, and augmented exoskeletons are rapidly transforming human biomechanical capabilities, offering great potential but also introducing certain risks. Traditional regulatory approaches, however, are not always effective enough to control such technologies. This article explores the potential of new digital solutions—such as blockchain, artificial intelligence (AI), and decentralized data platforms—to enable flexible, inclusive, and ethical governance of human enhancement. It emphasizes the need to apply these technologies to improve transparency, accountability, user protection, and safety within the human enhancement ecosystem. Recommendations are provided for the responsible integration of digital tools into hybrid control systems for enhancement technologies through participatory design, phased implementation, and advanced governance. Countries like Uzbekistan have a unique opportunity to test these approaches in collaboration with developers, policymakers, and civil society. Responsible integration of blockchain and AI technologies into human enhancement systems can lead to positive and ethical outcomes for individuals and society, but achieving these opportunities will require sustained cooperation among all stakeholders.
References
Johnson N. (2013). Law and the technologies of the twenty-first century. Cambridge University Press.
Brey P. (2021). Ethics of human enhancement technologies. In H. A. E. Lin & J. M. Allhoff (Eds.), Ethics of human enhancement: 25 questions & answers (pp. 11–15). Routledge.
Mik E. (2020). Smart contracts and the role of code in law. Computer Law & Security Review, 36, 105390.
Rainie L., & Funk C. (2021, July 28). Most Americans expect humans will always have jobs to do, even as automation expands. Pew Research Center. https://www.pewresearch.org/fact-tank/2021/07/28/most-americans-expect-humans-will-always-have-jobs-to-do-even-as-automation-expands/?utm_source=Pew+Research+Center&utm_campaign=4d97df4ec2-Weekly_2021_07_30&utm_medium=email&utm_term=0_3e953b9b70-4d97df4ec2-400070349
Savulescu J., ter Meulen R., & Kahane G. (2011). Enhancing human capacities. John Wiley & Sons. / Warwick K. (2016). Human enhancement: The way ahead. Ubiquity Press.
Eberl S., Lund P.D., Gebler M., & Schoot Uiterkamp A.J.M. (2020). A new framework for the design of ethical strategies for robotics and autonomous systems. Science and Engineering Ethics, 26(4), 1991-2011.
Coenen C., Schuijff M., Smits M., Klaassen P., Hennen L., Rader M., & Wolbring G. (2009). Human enhancement study. European Parliament. / Danaher J. (2021). The ethics of technological unemployment: A guide to the debate. Springer.
Mittelstadt B., Fairweather N.B., McBride N., & Shaw M. (2016). The ethical implications of personal health monitoring. International Journal of Technoethics, 7(2), 37-60.
Brownsword, R. (2008). Rights, regulation, and the technological revolution. Oxford University Press.
Coenen C., Schuijff M., Smits M., Klaassen P., Hennen L., Rader M., & Wolbring G. (2009). Human enhancement study. European Parliament. / Brownsword R. (2008). Rights, regulation, and the technological revolution. Oxford University Press.
Elliott J., & Higgins A. (2012). Surviving grounded theory research method in an academic world: Proposal writing and theoretical frameworks. Grounded Theory Review, 11(2).
DaSilva C.M., Trkulja V., & Akello C. (2021). A history of game-changing technologies. Nature Reviews Materials, 6(2), 184-201.
Lansdall-Welfare T., Sudhahar S., Thompson J., Lewis J., Cristianini N., & Team F.D. (2021). Content analysis of 150 years of British periodicals. Proceedings of the National Academy of Sciences, 118(16).
Yampolskiy R.V. (2016). Artificial superintelligence: a futuristic approach. CRC Press.
Rousseau J.J. (1762). The social contract. Maurice Cranston Translation. Penguin Books. 1968.
Danaher J. (2021). The ethics of technological unemployment: A guide to the debate. Springer.
Orts E.W. (1995). Reflexive environmental law. Northwestern University Law Review, 89(4), 1227-1340.
Van Den Hoven J., Helbing D., Pedreschi D., Domingo-Ferrer J., Gianotti F., Christen M. (2012). Futurium: Novel principles and practices to ensure responsible research and innovation. European Commission.
Tran T.A., & Daim T. (2008). A taxonomic review of methods and tools applied in technology assessment. Technological Forecasting and Social Change, 75(9), 1396–1405.
Fuerth L.S. (2009). Foresight and anticipatory governance. Foresight, 11(4), 14–32.
Van Den Hoven J. (2007). ICT and value sensitive design. In P. Goujon et al. (Eds.), The information society: Innovation, legitimacy, ethics and democracy in honor of Professor Jacques Berleur s.j. (pp. 67-72). Springer.
Krawiec R.J., Housman D., White M., Filipova M., Quarre F., Barr D., Nesbitt J.T., Fedorova A., Killmeyer J., Israel A., & Tsukerman M. (2016). Blockchain: Opportunities for health care. Deloitte.
Coenen C., Schuijff M., Smits M., Klaassen P., Hennen L., Rader M., & Wolbring G. (2009). Human enhancement study. European Parliament.
European Commission. (2021). Proposal for a regulation of the European Parliament and of the Council laying down harmonized rules on artificial intelligence. https://digital-strategy.ec.europa.eu/en/library/proposal-regulation-laying-down-harmonised-rules-artificial-intelligence
Teraa. (2022). Healthcare professionals. https://www.teraa.io/healthcare-professionals
Halley M. (2021). Power to the people: Giving patients control over their health data. DigitalHealth.London. https://www.digitalhealth.london/news-events/news/power-to-the-people-giving-patients-control-over-their-health-data/
IEEE. (2019). Ethically aligned design: A vision for prioritizing human wellbeing with artificial intelligence and autonomous systems. IEEE.
Profusa. (2019). DARPA awards Profusa “personalized predictive analytics” to detect sepsis early using Profusa’s Lumee Oxygen Platform Technology [Press release]. PR Newswire. https://www.prnewswire.com/news-releases/darpa-awards-profusa-personalized-predictive-analytics-to-detect-sepsis-early-using-profusas-lumee-oxygen-platform-technology-300937525.html
Musk E., & Neuralink. (2021, April 9). Show and tell [Video]. YouTube. https://www.youtube.com/watch?v=r-vbh3t7WVI&t=218s
