Gender Biased Legal Case Retrieval System on Users' Decision Process
arxiv(2024)
摘要
In the last decade, legal case search has become an important part of a legal
practitioner's work. During legal case search, search engines retrieval a
number of relevant cases from huge amounts of data and serve them to users.
However, it is uncertain whether these cases are gender-biased and whether such
bias has impact on user perceptions. We designed a new user experiment
framework to simulate the judges' reading of relevant cases. 72 participants
with backgrounds in legal affairs invited to conduct the experiment.
Participants were asked to simulate the role of the judge in conducting a legal
case search on 3 assigned cases and determine the sentences of the defendants
in these cases. Gender of the defendants in both the task and relevant cases
was edited to statistically measure the effect of gender bias in the legal case
search results on participants' perceptions. The results showed that gender
bias in the legal case search results did not have a significant effect on
judges' perceptions.
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