Global health and big data: The WHO's artificial intelligence guidance

被引:0
|
作者
Goodman, Kenneth W. [1 ]
Litewka, Sergio G. [1 ]
Malpani, Rohit [2 ]
Pujari, Sameer [2 ]
Reis, Andreas A. [2 ]
机构
[1] Univ Miami, Inst Bioeth & Hlth Policy, Miller Sch Med, Miami, FL 33136 USA
[2] WHO, Geneva, Switzerland
基金
美国国家卫生研究院;
关键词
artificial intelligence; big data; bioethics; global health; governance;
D O I
10.17159/sajs.2023/14725
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Significance: The growth and adoption of artificial intelligence tools and systems has the potential to transform health and wellness, even as this expansion raises challenging ethical issues, including data and privacy protection, appropriate uses and users, human rights concerns, and inequitable access. The WHO in 2020 committed to an 18-month process of guideline development, leading to the 2021 publication of the WHO's Guidance on Ethics and Governance of Artificial Intelligence for Health. The document identifies salient ethical principles, assesses a range of ethical issues and challenges, addresses governance strategies, and offers recommendations; it is apparently the first to offer global guidance.
引用
收藏
页数:4
相关论文
共 50 条
  • [41] Big data in medicine: The upcoming artificial intelligence
    Chang, Anthony C.
    PROGRESS IN PEDIATRIC CARDIOLOGY, 2016, 43 : 91 - 94
  • [42] Medical Big Data and Artificial Intelligence for Healthcare
    Zhang, Yudong
    Hong, Jin
    Chen, Shuwen
    APPLIED SCIENCES-BASEL, 2023, 13 (06):
  • [43] Teacher Intelligence Training Based on Big Data and Artificial Intelligence
    Dan, Songjian
    INTERNATIONAL JOURNAL OF E-COLLABORATION, 2022, 18 (03)
  • [44] On artificial intelligence and global mental health
    Montag, Christian
    Ali, Raian
    Al-Thani, Dena
    Hall, Brian J.
    ASIAN JOURNAL OF PSYCHIATRY, 2024, 91
  • [45] Artificial intelligence and the future of global health
    Schwalbe, Nina
    Wahl, Brian
    LANCET, 2020, 395 (10236): : 1579 - 1586
  • [46] Data's big three: how learning health systems, artificial intelligence and predictive analytics are transforming healthcare
    Butler-Henderson, Kerryn
    Arabi, Salma
    Wang, Wei
    BMJ HEALTH & CARE INFORMATICS, 2025, 32 (01)
  • [47] Who's Afraid of Artificial Intelligence?
    Bindi, Renzo
    GALLERIE E GRANDI OPERE SOTTERRANEE, 2023, (146):
  • [48] Ethical Concerns of Artificial Intelligence, Big Data and Data Analytics
    Harlow, Harold
    PROCEEDINGS OF THE 19TH EUROPEAN CONFERENCE ON KNOWLEDGE MANAGEMENT (ECKM 2018), VOLS 1 AND 2, 2018, : 316 - 323
  • [49] Empowering Women's Health: A Global Perspective on Artificial Intelligence and Robotics
    Afaq, Munaza
    Abraham, Divya E.
    Patel, Saloni H.
    Al-Dhoon, Areen D.
    Arshad, Zara
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2023, 15 (11)
  • [50] Data Science: Big Data, Machine Learning, and Artificial Intelligence
    Carlos, Ruth C.
    Kahn, Charles E.
    Halabi, Safwan
    JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2018, 15 (03) : 497 - 498