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1.
Nowadays assuring that search and recommendation systems are fair and do not apply discrimination among any kind of population has become of paramount importance. This is also highlighted by some of the sustainable development goals proposed by the United Nations. Those systems typically rely on machine learning algorithms that solve the classification task. Although the problem of fairness has been widely addressed in binary classification, unfortunately, the fairness of multi-class classification problem needs to be further investigated lacking well-established solutions. For the aforementioned reasons, in this paper, we present the Debiaser for Multiple Variables (DEMV), an approach able to mitigate unbalanced groups bias (i.e., bias caused by an unequal distribution of instances in the population) in both binary and multi-class classification problems with multiple sensitive variables. The proposed method is compared, under several conditions, with a set of well-established baselines using different categories of classifiers. At first we conduct a specific study to understand which is the best generation strategies and their impact on DEMV’s ability to improve fairness. Then, we evaluate our method on a heterogeneous set of datasets and we show how it overcomes the established algorithms of the literature in the multi-class classification setting and in the binary classification setting when more than two sensitive variables are involved. Finally, based on the conducted experiments, we discuss strengths and weaknesses of our method and of the other baselines.  相似文献   
2.
Artificial intelligence (AI) is rapidly becoming the pivotal solution to support critical judgments in many life-changing decisions. In fact, a biased AI tool can be particularly harmful since these systems can contribute to or demote people’s well-being. Consequently, government regulations are introducing specific rules to prohibit the use of sensitive features (e.g., gender, race, religion) in the algorithm’s decision-making process to avoid unfair outcomes. Unfortunately, such restrictions may not be sufficient to protect people from unfair decisions as algorithms can still behave in a discriminatory manner. Indeed, even when sensitive features are omitted (fairness through unawareness), they could be somehow related to other features, named proxy features. This study shows how to unveil whether a black-box model, complying with the regulations, is still biased or not. We propose an end-to-end bias detection approach exploiting a counterfactual reasoning module and an external classifier for sensitive features. In detail, the counterfactual analysis finds the minimum cost variations that grant a positive outcome, while the classifier detects non-linear patterns of non-sensitive features that proxy sensitive characteristics. The experimental evaluation reveals the proposed method’s efficacy in detecting classifiers that learn from proxy features. We also scrutinize the impact of state-of-the-art debiasing algorithms in alleviating the proxy feature problem.  相似文献   
3.
公平与效率--市场经济条件下我国分配制度的伦理透析   总被引:1,自引:0,他引:1  
在我国社会主义市场经济条件下,分配制度是影响经济增长和改变利益格局的关键环节,公平与效率的关系是分配制度中的核心问题.从伦理学的角度分析公平与效率的关系,进而理解我国的分配制度.  相似文献   
4.
形式上的教育公平主要是法律上的公平,即公民享有平等的受教育权,实质上的教育公平指教育过程(尤其是课程)中的公平。我国现阶段学前课程中存在着不公平的现象,主要从课程内容和课程实施两方面进行分析。瑞吉欧课程对于实施学前课程公平是一个很好的借鉴。  相似文献   
5.
道德自由、法定自由和社会自由构成了权利的法哲学基础,三者紧密联结,不可分割,共同推动主体权利形态的转化和实现. 体育权利作为人类社会的一类基本权利,在诸多社会因素的作用下,已经形成了较为完整的体系,日益成为人全面发展的一种手段. 体育权利既具有权利的自然属性和社会属性,同时也具有自身的固有属性,二者针对性不同,应当区别对待. 研究认为:体育权利的来源、内容和形式广泛,仅仅将其限定为法定权利的观点有失偏颇. 且现实中存在着多种体育权利形态,其中,应有体育权利是基础,固有体育权利是依据,法定体育权利是核心,实有体育权利是归宿.  相似文献   
6.
我国义务教育的机会公平与质量公平   总被引:8,自引:0,他引:8  
教育公平有教育机会公平和教育质量公平两上不同层面。我国义务教育现阶段,教育机会公平是首要迫切的目标,即人人都有相同的受教育机会,在已基本普及义务教育的城市和发达地区,应更多地关注教育质量公平的实施,大面积提高教育教学质量。  相似文献   
7.
公平、平等、公正是困惑教育的三大难题。公平是相对的,教育工作者要追求相对的公平。学生的先天差异与教育的公平能够协调;学生“择校”体现了公平;教育价值应体现教育公平性。  相似文献   
8.
我国加入WTO后,会计所处的客观经济环境的不确定性越来越高,以投资者为主体的会计信息使用者更加重视与不确定性相关的风险信息的揭示。因而,重视未来的计量属性的“以历史成本为主、多种计量属性并存”的计量模式将成为必然。这种计量模式有其优势,但在运用过程中需要注意相关问题。  相似文献   
9.

This study examined the relationships between perceptions of organizational justice and enacting organizational dissent. Participants were 107 full-time employees working in various organizations. Results indicated that employee perceptions of distributive and interpersonal justice negatively predicted latent dissent, while perceptions of informational justice positively predicted latent dissent. Perceptions of interpersonal justice were the strongest predictor of latent dissent. Perceptions of justice were not related to articulated or displaced dissent. Future research should continue to explore triggering agents of dissent in organizations.  相似文献   
10.
教育正义——我国教育发展的新追求   总被引:1,自引:0,他引:1  
近年来,我国教育规模发展迅速,然而教育在高效发展的同时也带来了负面的问题,即教育正义性的问题。罗尔斯认为,正义是社会制度的首要价值,因而教育正义与否则是检验教育制度的首要价值标准。因此,教育的高效性与正义性之间的矛盾,教育正义怎样实现都是值得研究的课题。  相似文献   
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