Artificial Intelligence Decision-Making: Trust Based on Understanding
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Chengxiang Wen, Jiaoyi Wu
While artificial intelligence has become a key strategic element in many government strategic plans worldwide, there are not many reports and empirical research analyses on the application of artificial intelligence in the field of public administration. This article focuses on analyzing and discussing some issues in the current application of artificial intelligence in the field of public administration, such as accuracy of decision-making, algorithmic fairness, and algorithmic discrimination. What this article attempts to illustrate is that with the development and progress of artificial intelligence, its decision-making will be more reliable than that of humans. Additionally, some questions worth considering and researching are also raised in the article.
artificial intelligence; Algorithm discrimination; Algorithm interpretability; Public administration