We Have Been Assimilated: Some Principles for Thinking About Algorithmic Systems
We Have Been Assimilated: Some Principles for Thinking About Algorithmic Systems
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我们已被同化：思考算法系统的一些原则
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
P. N. Edwards
中科院分区：
文献类型：
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作者：
P. N. Edwards
本文是一篇观点文章，受2018年IFIP 8.2工作会议“与怪物生活？”(San弗朗西斯科，加利福尼亚州，2018年12月11日。）它概述了理解算法系统的一些原则，并考虑了它们对我们目前居住的越来越多的算法驱动的基础设施的影响。它提出了算法系统所表现出的四个原则：（i）彻底的复杂性，（ii）不透明性，（iii）彻底的差异性，以及（iv）基础设施或博尔赫斯同化。这些原则可能有助于引导我们对这个新兴世界进行更批判性的理解，这个新兴世界的特点是混合能动性、加速的反馈回路和不断扩大的基础设施，我们都太愿意融入其中了。
This text is an opinion piece motivated by an invited keynote address at the 2018 IFIP 8.2 working conference, ‘Living with Monsters?’ (San Francisco, CA, 11 December 2018.) It outlines some principles for understanding algorithmic systems and considers their implications for the increasingly algorithm-driven infrastructures we currently inhabit. It advances four principles exhibited by algorithmic systems: (i) radical complexity, (ii) opacity, (iii) radical otherness, and (iv) infrastructuration or Borgian assimilation. These principles may help to guide a more critical appreciation of the emergent world marked by hybrid agency, accelerating feedback loops, and ever-expanding infrastructures to which we have been all too willingly assimilated.