Anna Abramova, Director of the MGIMO Artificial Intelligence Centre, and Oleg Gurov, Research Fellow at the Centre, have published an article entitled “Practical Trends in Cyborgization: Models, International Strategies and Regulatory Challenges” in the academic journal Artificial Societies.The article focuses on one of the most rapidly developing areas of contemporary science and technology, located at the intersection of artificial intelligence, neurotechnology, robotics and biomedicine. The authors examine cyborgization as a complex socio-technological process that is already influencing the economy, the labour market, healthcare and public policy.
The article proposes an original analytical framework comprising five models of cyborgization: restorative, industrial, cognitive and communicative, everyday, and experimental. This approach makes it possible to compare technologies in terms of their level of invasiveness, degree of commercialization, dependence on supporting infrastructure and maturity of legal regulation.
The study also analyses national strategies and policy approaches in the United States, the European Union, Japan, China, Israel and South Korea that address technologies associated with cyborgization. Particular attention is given to the regulation of emerging technologies. The authors demonstrate that the rapid development of brain–computer interfaces, exoskeletons, bionic prostheses and other human enhancement technologies creates significant opportunities for both the economy and medicine, while at the same time raising new challenges related to the protection of neural data, equal access to technology and the development of an appropriate legal framework.
As possible reference points for future regulation, the authors discuss the concepts of neurorights, cognitive liberty and the capabilities approach.
The study contributes to interdisciplinary research on artificial intelligence by offering a practical analytical tool for assessing human enhancement technologies and comparing international models of their development and regulation. The article may be of interest to researchers and professionals working in the fields of artificial intelligence, public administration, law and economics.
The full article is available
here.