Privacy Protection in Using Artificial Intelligence for Healthcare: Chinese Regulation in Comparative Perspective

被引:19
|
作者
Wang, Chao [1 ]
Zhang, Jieyu [1 ]
Lassi, Nicholas [1 ]
Zhang, Xiaohan [2 ]
机构
[1] Zhejiang Univ, Guanghua Law Sch, Hangzhou 310008, Peoples R China
[2] Zhejiang Univ City Coll, Sch Law, Hangzhou 310015, Peoples R China
关键词
artificial intelligence; big data; data collection; healthcare information; patient privacy; personal information; privacy protection;
D O I
10.3390/healthcare10101878
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Advanced artificial intelligence (AI) technologies are now widely employed in China's medical and healthcare fields. Enormous amounts of personal data are collected from various sources and inserted into AI algorithms for medical purposes, producing challenges to patient's privacy. This is a comparative study of Chinese, United States, and European Union operational rules for healthcare data that is collected and then used in AI functions, particularly focusing on legal differences and deficiencies. The conceptual boundaries of privacy and personal information, the influence of technological development on the informed consent model, and conflicts between freedom and security in rules of cross-border data flow were found to be key issues requiring consideration when regulating healthcare data used for AI purposes. Furthermore, the results indicate that the appropriate balance between privacy protections and technological development, between individual and group interests, and between corporate profits and the public interest should be identified and observed. In terms of specific rule-making, it was found that China should establish special regulations protecting healthcare information, provide clear definitions and classification schemas for different types of healthcare information, and enact stricter accountability mechanisms. Examining and contrasting operational rules for AI in health care promotes informed privacy governance and improved privacy legislation.
引用
收藏
页数:19
相关论文
共 50 条
  • [21] The Security and Privacy of Mobile-Edge Computing: An Artificial Intelligence Perspective
    Wang, Cheng
    Yuan, Zenghui
    Zhou, Pan
    Xu, Zichuan
    Li, Ruixuan
    Wu, Dapeng Oliver
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (24): : 22008 - 22032
  • [22] An Exploration on Artificial Intelligence Application: From Security, Privacy and Ethic Perspective
    Li, Xiuquan
    Zhang, Tao
    [J]. 2017 2ND IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA ANALYSIS (ICCCBDA 2017), 2017, : 416 - 420
  • [23] Using Blockchain for Decentralized Artificial Intelligence with Data Privacy
    Masurkar, Anand Surendra
    Sun, Xiaoyan
    Dai, Jun
    [J]. 2023 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS, ICNC, 2023, : 195 - 201
  • [24] Nurses' perspectives on privacy and ethical concerns regarding artificial intelligence adoption in healthcare
    Rony, Moustaq Karim Khan
    Numan, Sharker Md.
    Akter, Khadiza
    Tushar, Hasanuzzaman
    Debnath, Mitun
    Johra, Fateha tuj
    Akter, Fazila
    Mondal, Sujit
    Das, Mousumi
    Uddin, Muhammad Join
    Begum, Jeni
    Parvin, Mst. Rina
    [J]. HELIYON, 2024, 10 (17)
  • [25] Comparative legal study on privacy and personal data protection for robots equipped with artificial intelligence: looking at functional and technological aspects
    Ishii, Kaori
    [J]. AI & SOCIETY, 2019, 34 (03) : 509 - 533
  • [26] Comparative legal study on privacy and personal data protection for robots equipped with artificial intelligence: looking at functional and technological aspects
    Kaori Ishii
    [J]. AI & SOCIETY, 2019, 34 : 509 - 533
  • [27] A Survey: Computing Models of Artificial Intelligence Privacy Protection Based on Cryptographic Techniques
    Tian, Hai-Bo
    Liang, Xiu-Qi
    [J]. Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2023, 51 (08): : 2260 - 2276
  • [28] Predictive privacy: Collective data protection in the context of artificial intelligence and big data
    Muehlhoff, Rainer
    [J]. BIG DATA & SOCIETY, 2023, 10 (01)
  • [29] A Comparative Analysis of Artificial Intelligence for Power Transformer Differential Protection
    Afrasiabi, Shahabodin
    Behdani, Behzad
    Afrasiabi, Mousa
    Mohammadi, Mohammad
    Liu, Yang
    Gheisari, Mehdi
    [J]. 2021 21ST IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2021 5TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC/I&CPS EUROPE), 2021,
  • [30] Study on Chinese University Students' Privacy Protection from Intercultural Perspective
    Fang, Huang
    Chen, Zhao
    [J]. PROCEEDINGS OF THE 2013 CONFERENCE ON EDUCATION TECHNOLOGY AND MANAGEMENT SCIENCE (ICETMS 2013), 2013, : 448 - 451