摘要:
大数据技术革命取得了显著的经济价值和治理效果,也引发了深刻的社会公平困境。大数据具有社会属性和计算属性,二者交织构造出不同的大数据伦理维度。当前的大数据伦理研究侧重隐私保护、数据安全、减少算法歧视等最低限度的伦理维度,却忽视了推动社会发展的更高伦理诉求,导致了区域和群体间的数字技术、资源和机会的分配不均。同时,大数据系统中数据生成、采集、分析、应用等各个环节叠加所引发的认知不足和利益关系失调问题,加剧了社会系统的歧视与不公平。为了化解大数据技术与社会发展的错位与断裂的危机,必须推动均衡化的大数据基础设施建设,减少区域和群体间发展不平衡;并且构建具有责任性的数字化变革,加速社会融合、协同与创新发展。
关键词:
大数据系统,
社会属性,
计算属性,
大数据伦理,
社会公平,
责任性数字变革
Abstract:
The big data revolution has created remarkable economic value and governance impacts, but it also
faces dilemma for social justice. The big data has social nature and computing nature, while they interweave
to construct different ethical dimensions of big data. The current big data ethical research focuses on privacy
protection, data security, reducing algorithm discrimination and other minimum ethical dimensions, but
ignores the higher ethical demands to promote social development, resulting in the uneven distribution of
digital technology, resources and opportunities between regions and groups. Meanwhile, big data systems, with
a chain of flawed data generation, data sorting, data analysis to information dissemination, has automatically
distorted social opinions and interests, which will further exacerbate the existing inequity and discrimination
in social systems. In order to tackle the mismatch between big data and social development, there is a need
to promote the balanced development of informational technical infrastructure to eliminate the digital gaps
among social groups and geographies. It is equally important to leverage a responsible data revolution to spur social transformation in cooperation and innovations.
Key words:
big data system
,
social nature
,
computing nature
,
big data ethics
,
social equity
,
responsible data
revolution
刘丽, 郭苏建.
[J]. 探索与争鸣, 2020(12): 114-122.
Liu Li & Guo Sujian.
Social Equity Dilemma and Reform Brought by Big Data Technology
[J]. Exploration and Free Views, 2020(12): 114-122.