刍议大数据治理的三大基础思维

李汶龙; 袁媛; 安筱鹏

doi:10.11959/j.issn.2096-0271.2022077

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刍议大数据治理的三大基础思维

专题：数字经济 | 更新时间：2024-06-03

- 刍议大数据治理的三大基础思维
- Modus operandi of big data governance: some preliminary observations
- 大数据 2022年8卷第4期页码：34-45
- 作者机构：
- 作者简介：
  
  [ "李汶龙（1989- ），男，博士，阿里研究院数字经济中心高级研究员，主要研究方向为数据可携与流通、人工智能伦理、隐私与数据保护、平台责任" ]
  [ "袁媛（1976- ），女，阿里研究院数据经济中心主任，主要研究方向为数据和算法治理、产业数字化转型" ]
  [ "安筱鹏（1973- ），男，博士，阿里研究院副院长，主要研究方向为数字经济核企业数字化转型" ]
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2022077
  中图分类号： D4
- 网络首发：2022-07，
  
  纸质出版：2022-07-15
- 稿件说明：
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李汶龙, 袁媛, 安筱鹏. 刍议大数据治理的三大基础思维[J]. 大数据, 2022,8(4):34-45.

Wenlong LI, Yuan YUAN, Xiaopeng AN. Modus operandi of big data governance: some preliminary observations[J]. Big data research, 2022, 8(4): 34-45.
李汶龙, 袁媛, 安筱鹏. 刍议大数据治理的三大基础思维[J]. 大数据, 2022,8(4):34-45. DOI： 10.11959/j.issn.2096-0271.2022077.

Wenlong LI, Yuan YUAN, Xiaopeng AN. Modus operandi of big data governance: some preliminary observations[J]. Big data research, 2022, 8(4): 34-45. DOI： 10.11959/j.issn.2096-0271.2022077.

摘要

尝试抽象出既有大数据治理规则背后的逻辑和思维基础。具体而言，梳理了3种性质不同的基础思维，即简单类比、法律移植和规范想象。3种思维在某一特定历史阶段或多或少都存在，并非对立或者排斥关系，而是处于连续的谱系中。为了增进理解，将“路径依赖”作为参考概念。前两种基础思维属于路径依赖式思维，最后一种强调对既有路径的脱离和超越。基于对大数据治理基础思维的梳理和分析，进一步提出关于治理的顶层设计建议。首先，对传统物权（所有权）的依赖已经走到逻辑终点，如果脱离这一认知轨道，如何通过深入触及数据实践的方式设计治理规则是目前最主要的挑战。其次，法律移植是近十几年来大数据治理规则发展的主要引擎，但移植不同于翻译，移植本身也不是最终目的。审慎对待选择性借鉴的问题，以及规则和理论一体两面的问题，是目前移植实践的瓶颈和突破口。最后，与前两种路径依赖式思维对立，尝试提出规范想象的理念，指出适时脱离既有的历史轨迹和思维惯性的必要性。规范想象力的构建是一个复杂且持续的事业，需要同时跨越学科的藩篱，超越纯概念层面的认知，并形成有效的规则-理论互动。

Abstract

The modus operandi of big data governance was considered

and a typology was provided

which included simple analogies

legal transplantation

and regulatory imagination.Neither contradictory nor mutually exclusionary

all these modus may co-exist at a certain period on a continuous spectrum.To aid the reader’s understanding

the concept of path dependence was used as a point of reference.The first two modus operandi was essentially path-dependent whereas the third was characterized by detaching from any existing paths or inertial thinking.Based on this quasi-methodological account

some high-level recommendations were provided for big data governance.Firstly

as a means of governance

property thinking had been stretched to the logical point of exhaustion.It was of prime importance when and how derails from it while genuinely designing rules around data practices distinct from tangible goods exchange.Secondly

legal transplantation has been the engine for big data governance.Yet

transplantation was far more sophisticated than mere legal translation

and the former was more of a means rather than an end.Lastly

in contrast to the previous two path-dependent methods

a third modus operandi i.e.

“regulatory imagination” was proposed

which stressed the urgent need to detach from any outdated paths or thinking.Building imaginative capacity was a complex and lengthy process

requiring interdisciplinary thoughts

cognition rooted in practices rather than concepts

and effective rule-theory interaction.

关键词

Keywords

references

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