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Legal Frameworks for the Integration of Artificial Intelligence

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dc.contributor.author GULYAMOV, Said Saidakhrarovich
dc.date.accessioned 2023-11-13T13:24:05Z
dc.date.available 2023-11-13T13:24:05Z
dc.date.issued 2023
dc.identifier.citation GULYAMOV, Said Saidakhrarovich. Legal Frameworks for the Integration of Artificial Intelligence. In: 6th International Conference on Nanotechnologies and Biomedical Engineering: proc. of ICNBME-2023, 20–23, 2023, Chisinau, vol. 2: Biomedical Engineering and New Technologies for Diagnosis, Treatment, and Rehabilitation, 2023, p. 144-149. ISBN 978-3-031-42781-7. e-ISBN 978-3-031-42782-4. en_US
dc.identifier.isbn 978-3-031-42781-7
dc.identifier.isbn 978-3-031-42782-4
dc.identifier.uri https://doi.org/10.1007/978-3-031-42782-4_16
dc.identifier.uri http://repository.utm.md/handle/5014/24779
dc.description Acces full text - https://doi.org/10.1007/978-3-031-42782-4_16 en_US
dc.description.abstract The lightning-fast development of artificial intelligence and neural networks in general has had a tremendous impact on many different fields, and biological engineering is only one of those fields. These innovations have the potential to completely revolutionize the field of medicine by enhancing diagnostics, treatment planning, and tailored medication. This might be accomplished. However, there are ethical and legal concerns about the manner in which they should be incorporated into biomedicine. This study's objective is to investigate the existing legal frameworks that regulate the uses of artificial intelligence and neural networks in biomedical engineering and to evaluate how effectively such frameworks address the challenges posed by technological inclusion. On a global, regional, and national basis, we evaluated the rules and regulations that regulate the use of artificial intelligence and neural networks in biomedical engineering. These laws and regulations control the field. According to the findings of our research, even if the current legal frameworks have been improved in some respects, substantial problems are still present. These problems are particularly prevalent in the areas of data privacy, algorithmic responsibility, and ethical dilemmas. Also, the article discusses the need of doing ongoing evaluations and making adjustments in order to keep up with the fast advancement of artificial intelligence and neural networks in the area of biomedical engineering. en_US
dc.language.iso en en_US
dc.publisher Springer Nature Switzerland en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject artificial intelligence en_US
dc.subject biomedicine en_US
dc.subject artificial intelligence law regulation en_US
dc.subject biomedical engineering en_US
dc.title Legal Frameworks for the Integration of Artificial Intelligence en_US
dc.type Article en_US


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  • 2023
    6th International Conference on Nanotechnologies and Biomedical Engineering, September 20–23, 2023, Chisinau, Moldova

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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