A Model for Evaluating Algorithmic Systems Accountability.
作者： Yiannis Kanellopoulos
DOI:
关键词: Transparency (graphic) 、 Transparency (behavior) 、 Risk analysis (engineering) 、 Accountability 、 Computer science 、 Financial institution
摘要: Algorithmic systems make decisions that have a great impact in our lives. As dependency on them is growing so does the need for transparency and holding accountable. This paper presents model evaluating how transparent these are by focusing their algorithmic part as well maturity of organizations utilize them. We applied this classification algorithm created utilized large financial institution. The results analysis indicated organization was only partially control they lacked necessary benchmark to interpret deducted assess validity its inferencing.
harvard.edu
arxiv.org参考文章(9)
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