算法归化现象的根源探寻及其解决思路

The Root of Algorithm Domestication and Its Solution

在算法决策被广泛运用于个人、商事企业以及公权力机关之后,由于其客观性和不透明性,算法决策的数据将可能导致长期难以彻底清除的算法歧视问题,为避免此类问题的发生,信息主体在价值衡量的基础之上往往会选择从事算法运行所偏好的算法归化行为。算法归化行为选择的根源可以从社会与个人两个角度出发,以社会学视角探寻信息主体的行为选择判断依据,并着重从算法决策结果的影响角度以及数据信息保护立法层面探索规制此类算法归化行为的制度构建方向。本研究希望从采用扩展性数据信息保护立法、规范算法运用场景和公开范围,降低算法决策结果的影响因子等角度来遏制算法归化这一社会现象的蔓延趋势。

After algorithmic decision-making is widely used in individuals,commercial enterprises and public authorities,because of its objectivity and opacity,the data of algorithmic decision-making may lead to a long-term problem of algorithmic discrimination that is difficult to completely eliminate.In order to avoid such problems,information subjects often choose to engage in algorithmic domestication based on value measurement.The root of the choice of algorithmic domestication behavior can be explored from the social and personal perspectives,and the judgment basis of information subject's behavior choice can be explored from the sociological perspective,and the direction of system construction to regulate this kind of algorithmic domestication behavior can be explored from the perspective of the influence of algorithmic decision-making results and the legislative level of data information protection.In this paper,the spreading trend of the social phenomenon of algorithm domestication is curbed by adopting the legislation of expanding data information protection,standardizing the application scene and public scope of the algorithm,and reducing the influencing factors of the decision-making results of the algorithm.