Ensuring Data Science and Its Applications Benefit Humanity: Data Monetization and the Right to Science

被引:0
|
作者
Lamchek, Jayson S. [1 ]
机构
[1] Deakin Univ, Fac Business & Law, Law Sch, Geelong, Australia
关键词
right to science; data science; artificial intelligence; data monetization; universal basic income; UNIVERSAL BASIC INCOME; SCIENTIFIC PROGRESS; HEALTH; ENJOY;
D O I
10.1093/hrlr/ngad018
中图分类号
D81 [国际关系];
学科分类号
030207 ;
摘要
This paper analyses the human right to science (RtS) in relation to data science (DS) and its applications, particularly, data monetization. It advances an approach that balances three aspects of RtS, namely, protection from harmful science, benefit-sharing and participation in science and derives three corresponding sets of state duties. First, RtS implies the duty to end data monetization in so far as it entails practices harmful to human rights, including unlawful interference with privacy. Second, while data monetization exists, RtS entails the duty to distribute monetary benefits through an RtS-based universal basic income (UBI). Third, RtS entails the duty to facilitate ordinary people's participation in DS and prioritize non-profit pro-social uses of DS as in citizen or community DS. The proposed RtS analysis of DS engages policy responses to artificial intelligence (AI) and material inequality, namely, AI regulation, monetary benefits from data, UBI and the 'data for good' movement. No new data were generated or analysed in support of this research.
引用
收藏
页数:23
相关论文
共 50 条
  • [21] Basketball Data Science: With Applications in R
    Groll, Andreas
    Jentsch, Carsten
    STATISTICAL PAPERS, 2022, 63 (03) : 991 - 993
  • [22] Data Streams and Applications in Computer Science
    Woodru, David P., 1600, European Association for Theoretical Computer Science
  • [23] Research on Applications of Data Science in Macroeconomics
    Sun, Jingru
    2018 7TH INTERNATIONAL CONFERENCE ON SOCIAL SCIENCE, EDUCATION AND HUMANITIES RESEARCH (SSEHR 2018), 2018, : 342 - 346
  • [24] Applications of Data Science and Artificial Intelligence
    Costa, Carlos J. J.
    Aparicio, Manuela
    APPLIED SCIENCES-BASEL, 2023, 13 (15):
  • [25] Data science applications to string theory
    Ruehle, Fabian
    PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2020, 839 : 1 - 117
  • [26] Science and data science
    Blei, David M.
    Smyth, Padhraic
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2017, 114 (33) : 8689 - 8692
  • [27] Is ‘data science’ science?
    Rachel H. Ellaway
    Patricia O’Sullivan
    Advances in Health Sciences Education, 2025, 30 (1) : 5 - 9
  • [28] Ensuring High-Quality Private Data for Responsible Data Science: Vision and Challenges
    Srivastava, Divesh
    Scannapieco, Monica
    Redman, Thomas C.
    ACM JOURNAL OF DATA AND INFORMATION QUALITY, 2019, 11 (01): : 1 - 9
  • [29] THE SCIENCE OF DATA SCIENCE
    Fox, Peter
    Hendler, James
    BIG DATA, 2014, 2 (02) : 68 - 70
  • [30] Dellinger: Donate your data sets for the benefit of the science
    1600, Society of Exploration Geophysicists (35):