人工智能时代的算法黑箱与信任重建

Algorithmic Black Box and Trust Reconstruction in the Era of Artificial Intelligence

信任是人机互动和人际互动的基石。然而,由于算法黑箱的不透明性和不可解释性,人工智能系统及其服务在赋权和便利一部分人的同时,算法滥用、算法误用和算法垄断也在侵蚀、排斥和边缘化另外一部分人的利益。就此而言,算法即重构、程序即政治,在智能化环境中,信任被破坏和侵蚀不仅存在于人机互动之间,人与人之间的传统信任关系也因在线匿名和算法驱动而陷入衰退。正是考虑到人工智能带来的种种社会信任挑战,以算法规制为核心的人工智能治理首先应着眼于以人为本构建可信赖人工智能生态体系,并基于技术秉性和道德法律框架重建人机信任关系和人际信任关系。

Trust is the cornerstone of both human-machine interaction and interpersonal interaction.However,due to the opacity and non-interpretability of the algorithmic black box,AI systems and their services,while empowering and facilitating some individuals,are also eroding,excluding,and marginalizing the interests of others through algorithmic abuse,misuse,and monopolization.In this sense,algorithms are reconstructions,and programs are politics.In intelligent environments,trust is undermined and eroded not only in human-machine interactions but also in traditional interpersonal relationships,which are declining due to online anonymity and algorithm-driven.Considering the various social trust challenges brought by Al,Al governance centered on algorithmic regulation should firstly focus on constructing a trustworthy Al ecosystem with a peopleoriented approach and rebuild human-machine and interpersonal trust based on technological nature and ethical and legal frameworks.