The Algorithmic Bias of GenAI Technology in Educational Assessment:Manifestations,Causes,and Strategies
Under the context of deepening global innovation-driven development strategy,Generative Artificial Intelligence(GenAI)technology is increasingly becoming an important force to promote the transformation and upgrading of educational evaluation system.However,the application of intelligent technologies in the education field remains nascent,particularly facing significant challenges in the interpretability of large language model.The problem of"algorithmic bias"stemming from data bias,algorithm design defect,and inadequate testing verification has become a key problem restricting the fair application of technology.Therefore,combined with the practical application of GenAI technology in education evaluation,this paper first systematically combed the specific manifestations of algorithm bias,including individual differences,regional differences,social status differences,and other dimensions.After that,the root causes of bias were deeply analyzed from the perspectives of data quality,model design,and application scenarios.Finally,the strategies such as refining algorithm design,coordinating governance subject,and promoting technology inclusion to provide reference for the construction of a fair,transparent,and inclusive educational evaluation system.
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