Sökning: "Gender Bias Detection"

Hittade 2 uppsatser innehållade orden Gender Bias Detection.

  1. 1. Mitigating Unintended Bias in Toxic Comment Detection using Entropy-based Attention Regularization

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Fabio Camerota; [2023]
    Nyckelord :XLNet; BERT; Toxic Comment Classification; Entropy-based Attention Regularization; XLNet; BERT; Toxisk Kommentar Klassificering; Entropibaserad uppmärksamhetsreglering;

    Sammanfattning : The proliferation of hate speech is a growing challenge for social media platforms, as toxic online comments can have dangerous consequences also in real life. There is a need for tools that can automatically and reliably detect hateful comments, and deep learning models have proven effective in solving this issue. LÄS MER

  3. 2. RESPONSIBLE WOMEN AND ANALYTICAL MEN Developing Swedish Gendered Lexica for Detection of Gender Bias in Job Advertisements

    Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

    Författare :Saga Hansson; Konstantinos Mavromatakis; [2021-09-27]
    Nyckelord :Gender Bias Detection; Machine Translation; Fairness in AI;

    Sammanfattning : In this research, we examine gender bias in Swedish job advertisements with the use of gendered lexica. Gendered lexica can be employed to ascertain whether job advertisements are written with words that are associated with more masculine or feminine traits. LÄS MER