[et_pb_section fb_built=”1″ _builder_version=”4.17.0″ custom_padding=”0px||||false|false” global_colors_info=”{}” theme_builder_area=”et_body_layout”][et_pb_row _builder_version=”4.17.0″ _module_preset=”default” custom_padding=”0px||||false|false” global_colors_info=”{}” theme_builder_area=”et_body_layout”][et_pb_column type=”4_4″ _builder_version=”4.17.0″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”et_body_layout”][et_pb_gallery gallery_ids=”1119,1129,1127″ fullwidth=”on” _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”et_body_layout”][\/et_pb_gallery][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}” theme_builder_area=”et_body_layout”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||” theme_builder_area=”et_body_layout”][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”et_body_layout”]<\/p>\n
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The objective of this study is to investigate the possibility of mitigating discriminatory biases in decision-making using a decision tree, while also providing explainability to the algorithm’s classification.<\/p>\n
Specifically, the experiment will be conducted in the context of personnel selection and the gender variable, although the aim is to generalize to other areas as well.<\/p>\n
In addition to seeking the reduction of biases, it is also intended to reflect the real-world situation given the accuracy of the model In this way, the selection personnel can indicate the desired distribution and the importance of that consideration compared to reality. For example, the HR staff may wish to have a 50% distribution of women in the workforce, but they also want to choose the most suitable candidate, so they can indicate that gender is 80% important, allowing room for real classification.<\/p>\n
Finally, the algorithm should return a list of candidates classified as “to interview” or “not to interview.” Among those indicated for an interview, they must comply with the indicated distribution.<\/p>\n
[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.18.0″ _module_preset=”default” custom_margin=”20px||||false|false” custom_padding=”0px||||false|false” global_colors_info=”{}” theme_builder_area=”et_body_layout”][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”et_body_layout”][et_pb_column type=”1_2″ _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”et_body_layout”][et_pb_image src=”https:\/\/storage.googleapis.com\/wp-uploads.bucket.wp.uc3m.es\/wp-content\/uploads\/sites\/70\/2023\/05\/22110822\/WhatsApp-Image-2023-05-22-at-12.58.52.jpeg” title_text=”jessica” _builder_version=”4.21.0″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”et_body_layout”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”et_body_layout”][et_pb_text _builder_version=”4.18.0″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”et_body_layout”]<\/p>\n
BACHELOR’S THESIS BY:<\/strong><\/span><\/p>\n JIA JIA YE [\/et_pb_text][et_pb_text _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”et_body_layout”]<\/p>\n <\/strong><\/p>\n <\/strong><\/p>\n Academic Experience<\/strong> Double Degree in Computer Science and Engineering, and Business Administration, Universidad Carlos III de Madrid Bachillerato de Ciencias Sociales (2015 – 2017)<\/p>\n <\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”et_body_layout”][et_pb_column type=”4_4″ _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”et_body_layout”][et_pb_text _builder_version=”4.20.2″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”et_body_layout”]<\/p>\n <\/strong>Work Experience<\/strong><\/strong><\/p>\n Data Analyst – Grupo MasM\u00f3vil (julio 2023 – current)<\/p>\n Frontend Developer Intern – Grupo MasM\u00f3vil (december 2022 – june 2023)<\/p>\n Machine Learning Researcher – Universidad Carlos III de Madrid in collaboration with Grupo MasM\u00f3vil (september 2022 \u2013 may 2023)<\/p>\n
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(september 2017 \u2013 june 2023)<\/p>\n