A few months back, while preparing a workshop on gender stereotypes and biases, I came across research by the World Economic Forum suggesting a significant gender gap among AI professionals, with only 22% of AI professionals globally being female, compared to 78% being male. Perhaps I was expecting it, but I still found it not just disturbing; more than that. I thought it’s dangerous and I’ll explain why right away.
An algorithm that has been coded by humans, may reflect biases of the developers. If the data collected and used for the development of AI is gender biased, the results will also be biased, leading as a consequence to biased decisions in a number of fields, including for example hiring decisions.
[tdm_block_button button_text=”Read More” button_size=”tdm-btn-sm” content_align_horizontal=”content-horiz-right” tdc_css=”eyJwaG9uZSI6eyJtYXJnaW4tdG9wIjoiMTAiLCJtYXJnaW4tYm90dG9tIjoiMTAiLCJkaXNwbGF5IjoiIn0sInBob25lX21heF93aWR0aCI6NzY3LCJhbGwiOnsibWFyZ2luLXRvcCI6IjAiLCJwYWRkaW5nLWJvdHRvbSI6IjUiLCJkaXNwbGF5IjoiIn19″ button_url=”https://www.ourworld.co/editors-letter/”][/vc_column][/vc_row][vc_row full_width=”stretch_row_1400 td-stretch-content” tdc_css=”eyJhbGwiOnsibWFyZ2luLWJvdHRvbSI6Ii0wIiwicGFkZGluZy10b3AiOiIxMCIsInBhZGRpbmctYm90dG9tIjoiLTIwIiwiYmFja2dyb3VuZC1jb2xvciI6IiNmNGY0ZjQiLCJkaXNwbGF5IjoiIn0sImxhbmRzY2FwZSI6eyJwYWRkaW5nLXRvcCI6IjYwIiwicGFkZGluZy1ib3R0b20iOiIxMCIsImRpc3BsYXkiOiIifSwibGFuZHNjYXBlX21heF93aWR0aCI6MTE0MCwibGFuZHNjYXBlX21pbl93aWR0aCI6MTAxOSwicG9ydHJhaXQiOnsicGFkZGluZy10b3AiOiI1MCIsInBhZGRpbmctYm90dG9tIjoiMCIsImRpc3BsYXkiOiIifSwicG9ydHJhaXRfbWF4X3dpZHRoIjoxMDE4LCJwb3J0cmFpdF9taW5fd2lkdGgiOjc2OH0=” gap=”0″ svg_height_top=”300″ el_class=”OVERVIEW”][vc_column tdc_css=”eyJhbGwiOnsiZGlzcGxheSI6IiJ9fQ==” width=”1/4″][tdm_block_column_title title_text=”Rm9yZXdvcmQ=” title_tag=”h3″ title_size=”tdm-title-md” tds_title=”tds_title2″ el_class=”EUROPEAN” tdc_css=”eyJwaG9uZSI6eyJkaXNwbGF5Ijoibm9uZSJ9LCJwaG9uZV9tYXhfd2lkdGgiOjc2N30=”][tdm_block_team_member name=” Jerry Zagoritis ” tds_social=”tds_social2″ tds_team_member2-description_align_vertical=”content-vert-center” tds_team_member=”tds_team_member3″ image_height=”189″ image_width=”300″ img_height=”100%” tds_team_member3-content_align_vertical=”content-vert-top” content_align_horizontal=”content-horiz-left” tds_team_member3-image_width=”150″ tdc_css=”eyJhbGwiOnsibWFyZ2luLWJvdHRvbSI6IjAiLCJwYWRkaW5nLXJpZ2h0IjoiNDgiLCJkaXNwbGF5Ijoibm9uZSJ9LCJwb3J0cmFpdCI6eyJwYWRkaW5nLXJpZ2h0IjoiMjgiLCJkaXNwbGF5Ijoibm9uZSJ9LCJwb3J0cmFpdF9tYXhfd2lkdGgiOjEwMTgsInBvcnRyYWl0X21pbl93aWR0aCI6NzY4LCJwaG9uZSI6eyJwYWRkaW5nLXJpZ2h0IjoiMCIsImRpc3BsYXkiOiIifSwicGhvbmVfbWF4X3dpZHRoIjo3NjcsImxhbmRzY2FwZSI6eyJkaXNwbGF5Ijoibm9uZSJ9LCJsYW5kc2NhcGVfbWF4X3dpZHRoIjoxMTQwLCJsYW5kc2NhcGVfbWluX3dpZHRoIjoxMDE5fQ==” icons_size=”15″ icons_padding=”1.6″ social_icons_space=”-5″ tds_team_member3-f_title_font_family=”548″ tds_team_member3-f_title_font_weight=”700″ tds_team_member3-f_title_font_size=”eyJhbGwiOiIyOCIsInBob25lIjoiMjQifQ==” tds_team_member3-f_title_font_line_height=”eyJhbGwiOiIzMnB4IiwicGhvbmUiOiIyN3B4In0=” media_size_image_height=”483″ media_size_image_width=”483″ image_border_radius=”200″ tds_team_member3-f_job_title_font_family=”fs_1″ tds_team_member3-f_descr_font_family=”fs_2″ name_tag=”” tds_team_member3-f_descr_font_size=”22″ tds_team_member3-f_descr_font_line_height=”1.2″ job_title=”Editor and Publishing Partner of Our World, and the CEO of Campaign Lab ” image=”489860″]
Editor’s Letter
A few months back, while preparing a workshop on gender stereotypes and biases, I came across research by the World Economic Forum suggesting a significant gender gap among AI professionals, with only 22% of AI professionals globally being female, compared to 78% being male. Perhaps I was expecting it, but I still found it not just disturbing; more than that. I thought it’s dangerous and I’ll explain why right away.
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[tdm_block_team_member name=” Axel Voss” tds_social=”tds_social3″ tds_team_member2-description_align_vertical=”content-vert-center” image_height=”600″ image_width=”600″ img_height=”100%” image_alignment=”bottom” tdc_css=”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” image_border_radius=”300″ content_align_horizontal=”content-horiz-center” tds_social3-icons_background_hover_color=”#444444″ tds_team_member1-f_title_font_family=”548″ tds_team_member1-f_title_font_line_height=”50px” tds_team_member1-f_title_font_weight=”500″ tds_team_member1-f_descr_font_family=”507″ tds_team_member1-f_descr_font_size=”14″ tds_team_member1-f_descr_font_line_height=”24px” tds_social3-icons_background_color=”#81c132″ tds_team_member1-f_title_font_size=”30″ media_size_image_height=”636″ media_size_image_width=”538″ name_tag=”h4″ job_title=”Member of the European Parliament from Germany (EPP), Member of the Special Committee on Artificial Intelligence in a Digital Age” image=”489868″][/vc_column][vc_column width=”1/4″]
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[tdm_block_team_member name=”Anna-Michelle Asimakopoulou” tds_social=”tds_social3″ tds_team_member2-description_align_vertical=”content-vert-center” image_height=”600″ image_width=”600″ img_height=”100%” image_alignment=”bottom” tdc_css=”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” image_border_radius=”300″ content_align_horizontal=”content-horiz-center” tds_social3-icons_background_hover_color=”#444444″ tds_team_member1-f_title_font_family=”548″ tds_team_member1-f_title_font_line_height=”50px” tds_team_member1-f_title_font_weight=”500″ tds_team_member1-f_descr_font_family=”507″ tds_team_member1-f_descr_font_size=”14″ tds_team_member1-f_descr_font_line_height=”24px” tds_social3-icons_background_color=”#81c132″ tds_team_member1-f_title_font_size=”30″ media_size_image_height=”622″ media_size_image_width=”521″ name_tag=”h4″ job_title=”Member of the European Parliament from Greece (EPP), Vice-Chair of the Committee on International Trade, Member of the Special Committee on Artificial Intelligence in a Digital Age” image=”489873″][/vc_column][vc_column width=”1/4″]
The massive rollout of artificial intelligence (AI) entails a technological leap that will cause (that is already causing) very substantial changes in the labor...
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When the President of the European Commission made her first speech to the European Parliament in December 2019, she officially recognized “Artificial Intelligence” as...
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Artificial intelligence (AI) impacts numerous aspects of life, from smart devices helping out in homes, self-driving cars, to the way we consume information. With...
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The academic literature suggests that, in the past decades, technological progress has led to job polarisation in European Union countries. While computer technologies and...
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The crackdowns felt across the industry
Through my long career in the Information and Communication Technology (ICT) industry, I have been lucky enough to be...
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