Manipulated Transparency:Opening the"Black Box"of Algorithmic Transparent Regulation:A Case Study of the FICO Score Credit Rating System in the United States
Intelligent technologies,based on big data and driven by complex algorithms,have become a significant force in pro-moting the development of the digital economy and enhancing social welfare.This paper examines algorithm transparency from a power perspective,using the U.S.FICO Score credit rating system as a case study.It analyzes how algorithm transparency be-comes a technique for regulating people's behavior within the structure of regulatory power.In practice,algorithmic information disclosure can not only establish objective behavioral norms,but also create a scientific evaluation system for the design and use of algorithms to demonstrate the rationality of these behavior norms.Based on this,people are incentivized by algorithms within the social system to follow these behavior norms,while seldom subjecting them to rigorous critical analysis.To reveal the hidden risks of algorithmic information disclosure,it is necessary to establish an algorithm evaluation system based on transparency prin-ciples and to create trusted algorithm auditing institutions to enhance algorithm transparency.Algorithm designers should incorpo-rate perspectives from the humanities and social sciences into the foundational principles and operational logic of technical appli-cations.Additionally,there should be a deepening of public education on algorithmic literacy and an emphasis on public partici-pation.These measures aim to improve the existing algorithmic power structure and open the"black box",thereby effectively re-ducing the uncertainty risks brought by algorithmic regulatory power.
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