Most existing works on fairness assume the model has full access to demographic
information. However, there exist scenarios where demographic information is partially …

Fairness has become an essential problem in many domains of Machine Learning (ML),
such as classification, natural language processing, and Generative Adversarial Networks …

Machine Learning (ML) models trained on biased data can reproduce and even amplify
these biases. Since such models are deployed to make decisions that can affect people's …

Recent progress in Generative Artificial Intelligence (AI) relies on efficient data
representations, often featuring encoder-decoder architectures. We formalize the …

1.1 Motivação Nos últimos anos, temos testemunhado um aumento significativo na adoção
de sistemas inteligentes, os quais empregam modelos preditivos que processam grandes …