Results 41 to 50 of about 74,957 (118)
On Privacy, Accuracy, and Fairness Trade-Offs in Facial Recognition
Face recognition (FR) technology has a concurrent interaction between accuracy, privacy, and fairness. To investigate this, we present a deep learning FR model trained on the BUPT-Balancedface dataset, which is racially balanced, and incorporate ...
Amir Zarei, Ahmad Hassanpour, Kiran Raja
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The fairness of the Islamic Law of compulsory succession remains a heavily contested issue all over the world. Frequently debated topics, referred to in this article as the "problematic areas", include the 2:1 division of inheritance in favour of the ...
Mohamed Sungay
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The rapid advancement of Machine Learning (ML) represents novel opportunities to enhance public health research, surveillance, and decision-making. However, there is a lack of comprehensive understanding of algorithmic bias — systematic errors in ...
Shaina Raza +3 more
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Gender Equality as Integral to Social Justice – and vice versa
The pursuit of social justice fundamentally requires gender equality, just as meaningful gender equality necessitates social justice. This means that each is integral to achieving the other.
Jane Aeberhard-Hodges
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As large language models (LLMs) increasingly enter high-stakes decision-making contexts, questions arise about their suitability in domains requiring normative judgment, such as judicial sentencing.
Karol Struniawski +2 more
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Promoting fairness in link prediction with graph enhancement
Link prediction is a crucial task in network analysis, but it has been shown to be prone to biased predictions, particularly when links are unfairly predicted between nodes from different sensitive groups. In this paper, we study the fair link prediction
Yezi Liu, Hanning Chen, Mohsen Imani
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Unbiased lotteries seem the least unfair and simplest procedures to allocate scarce indivisible resources to those with equal claims. But, when lotteries are repeated, it is not immediately obvious whether prior winners should be included or excluded. As
Marco D. Huesch, Richard Brady
doaj
Epistemic Injustice in the Criminal Trial
Jasmine Gonzales Rose, Rachel Herdy, Tareeq Jalloh and Abenaa Owusu-Bempah have each written a paper commenting on my essay ‘Evidential Reasoning, Testimonial Injustice and the Fairness of the Criminal Trial’, which appeared in Quaestio Facti in 2024 ...
Federico Picinali
doaj
How trust prospectively predicts perceived fairness and learning motivation toward AI teaching assistants: a three-wave within-person longitudinal study. [PDF]
Fu L, Ouyang Z, Wu Q.
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