ALGORITHMIC ACCOUNTABILITY Journalistic investigation of computational power structures
ALGORITHMIC ACCOUNTABILITY Journalistic investigation of computational power structures
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DOI：
10.1080/21670811.2014.976411
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发表时间：
2015-01-01
影响因子：
5.4
通讯作者：
Diakopoulos, Nicholas
中科院分区：
文献类型：
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作者：
Diakopoulos, Nicholas
每天，自动化算法都在做出决策，这些决策可以放大企业和政府的力量。然而，随着算法开始规范我们生活的更多方面，它们的力量轮廓仍然很难把握。本文研究了算法问责制报告的概念，作为一种机制，用于阐明和阐明计算工件在社会中行使的权力结构，偏见和影响。一个框架的算法权力的基础上自主决策proffered和激励算法的影响力的具体问题。然后研究和分析了五个涉及在新闻业中使用逆向工程方法的算法问责报告案例，以深入了解该方法及其在新闻业中的应用。算法的透明度政策的适用性进行了讨论，同时实施算法问责制作为一个广泛可行的调查方法的挑战。
Every day automated algorithms make decisions that can amplify the power of businesses and governments. Yet as algorithms come to regulate more aspects of our lives, the contours of their power can remain difficult to grasp. This paper studies the notion of algorithmic accountability reporting as a mechanism for elucidating and articulating the power structures, biases, and influences that computational artifacts exercise in society. A framework for algorithmic power based on autonomous decision-making is proffered and motivates specific questions about algorithmic influence. Five cases of algorithmic accountability reporting involving the use of reverse engineering methods in journalism are then studied and analyzed to provide insight into the method and its application in a journalism context. The applicability of transparency policies for algorithms is discussed alongside challenges to implementing algorithmic accountability as a broadly viable investigative method.