The Generation Mechanism and Prevention Strategy of Government Algorithm Decision-Making Risk:The Analytical Framework Based on the Symbolic Interaction Theory
Government algorithm decision-making risk is a new type of risk formed when artificial intelligence algorithm is embedded in government decision-making process.Based on the symbolic interaction theory,the"subject-medium"analytical framework is constructed.It can be found that the government algorithm decision-making risk is the overall deviation of the value of symbol media in the interaction process of relevant subjects of government algorithm decision-making,resulting in the possibility and uncertainty of government decision-making that cannot reach its goal.Subjective and objective contradictions,as well as hidden dangers at the levels of technology,subject and system are important incentives for the generation of government algorithm decision-making risks,and the generation process follows the decision-making chain of"interactive value deviation,interactive media defects,interaction field difference,and human-computer interaction block".In order to better avoid the government algorithm decision-making risk,appropriate strategies such as strengthening the public value of algorithm technology,improving the digital literacy of decision-related subjects,and improving the institutional mechanism of government algorithm decision-making can be adopted to improve the efficiency of government governance.
government algorithm decision-making riskfitnesssymbolic interaction theory
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