破除数字平台企业算法黑箱治理困境:基于算法透明策略扩散研究

Breaking the Algorithmic Black-box Governance Dilemma of Digital Platform Companies:Research on the Diffusion of Algorithm Transparency Strategy in China

自进入数字经济时代,“算法黑箱”特性的负面作用日益凸显,我国为此对数字平台企业提高算法透明度提出了新的政策要求。基于此,本文以我国针对数字平台企业“算法黑箱”的治理政策为蓝本,运用复杂网络演化博弈,建立了数字平台企业优化算法透明度策略扩散模型,并得到以下结论:①政府的监管对数字平台企业是否优化算法透明具有关键作用,但数字平台企业数量规模增大会使政府监管和惩罚作用降低;②消费者监管起到辅助作用,且随着企业数量规模扩大变得更为重要;③优化算法成本以及披露算法的风险均是阻碍数字平台企业优化算法透明度的重要因素,且企业抵御风险能力会随着数量规模扩大而降低。最后,根据结论提出对策建议,为我国数字平台企业“算法黑箱”治理困境的破除提供一定的参考。

Since entering the digital economy era,the negative effects caused by the"algorithmic black box"have become increasingly prominent in China.For this reason,China has put forward new requirements for digital platform companies to improve the transparency and interpretability of algorithms.Based on this,a digital platform companies optimizing algorithm transparency strategies diffusion model has been developed by using complex network evolutionary game and the following conclusions were drew in this paper.Firstly,government regulation plays a key role in whether digital platform companies are choosing to optimize their algorithmic transparency strategies.However,with the number of digital platform companies increasing,the government regulation and penalties will be less effective.Secondly,the supervision of consumer plays a supporting role and will be particularly more important as the number of digital platform companies becomes larger.Thirdly,the cost of optimizing algorithms and the risk of disclosing the algorithms are both important factors that prevent digital platform companies from optimizing their algorithm transparency,and the ability of companies to resist the risk will also decrease as the number of digital platform companies grows.Finally,counter-suggestions were put forward based on the conclusions,which may provide some reference to the governance of digital platform companies’“algorithm black box”in China.