Demographic biases in source datasets have been shown as one of the causes of
unfairness and discrimination in the predictions of Machine Learning models. One of the …

Society is increasingly relying on predictive models in fields like criminal justice, credit risk
management, or hiring. To prevent such automated systems from discriminating against …

Abstract he use of artificial intelligence (AI) and algorithms in human resource management
systems has increased in recent years significantly due to the COVID-19 pandemic and the …

Machine learning models can inherit biases from their training data, leading to
discriminatory or inaccurate predictions. This is particularly concerning with the increasing …

In the last few years, Artificial Intelligence systems have become increasingly widespread.
Unfortunately, these systems can share many biases with human decision-making, including …

We present a novel approach to mitigate bias in facial expression recognition (FER) models.
Our method aims to reduce sensitive attribute information such as gender, age, or race, in …

Spotting macro and micro expressions proves more demanding than subsequent tasks such
as recognizing or classifying expressions. This intricate process entails pinpointing the …

Bu çalışmada, OpenCV ile yüz ifadelerinin doğru sınıflandırılması için gerekli yüz tespit
süreçleri incelenmiş ve uygulamalı analiz yapılmıştır. Algoritmalar, yüz ifadelerini analiz …