debiasing

[美]/[ˈdiːˌbaɪɪzɪŋ]/
[英]/[ˈdiːˌbaɪɪzɪŋ]/

释义

v.消除偏见;去除偏见
adj.去偏见的;消除偏见的
n.去偏见行为;消除偏见

短语搭配

debiasing algorithms

去偏见算法

debiasing process

去偏见过程

debiasing techniques

去偏见技术

debiasing data

去偏见数据

debiasing model

去偏见模型

debiasing efforts

去偏见努力

debiased results

去偏见结果

debiasing study

去偏见研究

debiasing tools

去偏见工具

debiasing system

去偏见系统

例句

we need to actively debias our algorithms to ensure fairness.

我们需要积极地去偏见我们的算法以确保公平。

debiasing the data is a crucial first step in addressing bias.

去偏见数据是解决偏见的第一步的关键。

the team is working on debiasing the hiring process.

团队正在努力去偏见招聘流程。

regular audits are essential for ongoing debiasing efforts.

定期审计对于持续的去偏见工作至关重要。

debiasing techniques can improve the accuracy of ai models.

去偏见技术可以提高人工智能模型的准确性。

it's important to understand the sources of bias before debiasing.

在去偏见之前,了解偏见的来源很重要。

the goal is to create a system free from unintentional debiasing.

目标是创建一个没有无意去偏见的系统。

debiasing requires a multidisciplinary approach and careful consideration.

去偏见需要跨学科的方法和仔细的考虑。

we are implementing strategies for debiasing our search results.

我们正在实施去偏见搜索结果的策略。

the study focused on debiasing sentiment analysis models.

这项研究侧重于去偏见情感分析模型。

continuous monitoring is necessary to prevent regression in debiasing.

持续的监控对于防止去偏见中的倒退是必要的。

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