The Value, Risks and Legal Regulation Path of Artificial Intelligence Algorithms in Public Health Events

Jing Wu

Abstract


In the response to public health events, AI algorithms based on medical big data have generated value in many ways: AI based on medical big data can not only improve the accuracy of diagnosis, alleviate the difficulties of medical staff shortage, but also reduce the risk of medical workers contracting diseases. The use of this technology has also given rise to a number of risks, such as infringement of patients' personal information, unclear delineation of liability and risk, etc. In response to these shortcomings, relevant legal regulation paths have been constructed to better resolve the problems in the use of technology and to strongly protect the legitimate rights and interests of citizens.


Keywords


Public Health Events; Artificial Intelligence; Algorithms; Legal Regulation Path

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References


Zhang LH. The iteration and innovation of counting law and regulation[J]. Law Forum,2019,34(02):16-26.

Wu HQ. The value, risk and legal regulation of medical big data--Thinking on the governance of novel coronavirus pneumonia epidemic[J]. Science and Technology Herald,2020,38(23):31-38.

Liu RW. Research on the legal protection of personal information in public health events: the new crown pneumonia outbreak as an entry point[J]. Journal of Library and Information Studies,2020,5(09):34-38.

Yan L, Wu HQ. Value Attributes and Privacy Risks of Artificial Intelligence in the Governance of Major Epidemics--and the Criminal Law Path of Privacy Protection[J]. Nanjing Normal University Journal (Social Science Edition),2020, (02):32-41.

Jin S, Zhang LB. Research on personal information protection under public health emergencies: against the background of COVID-19 epidemic situation [J]. Information Theory and Practice,2020,43(06):16-22.




DOI: https://doi.org/10.18686/esta.v9i4.284

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