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Ensuring Data Science and Its Applications Benefit Humanity: Data Monetization and the Right to Science
Human Rights Law Review ( IF 1.150 ) Pub Date : 2023-07-26 , DOI: 10.1093/hrlr/ngad018
Jayson S Lamchek

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.

中文翻译:

确保数据科学及其应用造福人类:数据货币化和科学权

本文分析了与数据科学(DS)及其应用(特别是数据货币化)相关的科学人权(RtS)。它提出了一种平衡 RtS 三个方面的方法,即保护免受有害科学、惠益分享和参与科学,并衍生出三套相应的国家义务。首先,RtS 意味着有义务终止数据货币化,因为它会带来损害人权的做法,包括非法干扰隐私。其次,虽然存在数据货币化,但 RtS 承担着通过基于 RtS 的全民基本收入 (UBI) 分配货币利益的责任。第三,RtS有责任促进普通民众参与DS,并像公民或社区DS一样优先考虑DS的非营利性亲社会用途。拟议的 DS 的 RtS 分析涉及对人工智能 (AI) 和物质不平等的政策反应,即人工智能监管、数据带来的货币利益、全民基本收入和“数据造福”运动。没有生成或分析新数据来支持这项研究。
更新日期:2023-07-26
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