摘要
随着数据量的急剧增加,人工智能等技术快速发展和应用,数据伦理风险日益凸显。尽管数据伦理原则和数据伦理指导框架能够帮助数据科学家反思其研究工作对个人、团体和社会产生的持续影响,但这些原则不足为数据科学提供避免社会危害、促进社会正义的范式。基于技术政治性视角对数据科学技术的三个争议进行剖析后发现数据科学家已经成为参与社会规范性建设的政治行动者。因此,数字时代的数据科学困境需要超越的“四个阶段”,进而提出数字正义的实现需要对数据进行正义性的规制与承诺,同时重视数据评估工具的智能化赋能,构建技术与人文的良性互动,引导“技术治理”向“技术善治”的转型,最终实现数字治理中的正义修复,促进社会的包容性、平等性发展。
With the rapid increase in data volume,the rapid development and application of artificial intelligence and other technologies,the risk of data ethics has become increasingly prominent.While data ethics principles and data ethics guidance framework can help data scientists reflect on the continuous impact of their research work on individuals,groups and society,they are insufficient to provide data science with a paradigm for avoiding social harm and promoting social justice.By analyzing the three disputes of data science and technology from the perspective of technology politics,this paper demonstrates that data scientists have become political actors involved in the construction of social norms.Based on the analysis of political justice,the“four stages”of the dilemma of data science in the digital era need to be surmounted are concluded,and the realization of digital justice requires the just regulation and commitment of data.At the same time,it emphasizes the intelligent empowerment of data evaluation tools,constructs a positive interaction between technology and humanity,and guides the transformation from“technological governance”to“technological good governance”.Finally,it realizes the justice restoration in digital governance and promotes the inclusive and equal development of society.
作者
郭佳楠
GUO Jia-nan(School of Marxism,Zhengzhou Technology and Business University,Zhengzhou 450000,China;Asian Institute of Technology,Sustainable Development,Kongluan 10120,Thailand)
出处
《陕西行政学院学报》
2023年第2期111-117,共7页
Journal of Shaanxi Academy of Governance
关键词
数据科学
伦理
社会正义
社会变革
社会善
data science
ethics
social justice
social change
social goodness
