{"id":3845,"date":"2019-04-04T18:18:08","date_gmt":"2019-04-04T18:18:08","guid":{"rendered":"https:\/\/voxxeddays.com\/minsk\/?p=3845"},"modified":"2019-04-04T18:18:08","modified_gmt":"2019-04-04T18:18:08","slug":"social-implications-of-bias-in-machine-learning","status":"publish","type":"post","link":"https:\/\/voxxeddays.com\/minsk\/social-implications-of-bias-in-machine-learning.html","title":{"rendered":"Social implications of Bias in Machine Learning"},"content":{"rendered":"<p><a><\/a>[vc_row][vc_column][vc_empty_space height=&#8221;70px&#8221;]<div class=\"speakers  \" >\n  \t\t\t<div class=\"\">\n                <div class=\"first_line \" ><\/div>\n    \t\t\t            <div class=\"first_title \" >\n                                <p>\n                                Social implications of Bias in Machine Learning\n                                <\/p>\n    \t\t\t            <\/div>\n   \t\t\t\t            <div class=\"first_description\">\n                                <p>\n                                \nThe adoption of Machine Learning in decision making has amplified the risk of socially-biased outcomes.Anyone (not just data scientists) working on ML tools holds immense power over shaping the future of our world. However, we can use this power for good and train models that help to drive positive social change sooner. This talk will provide context for this issue, explore real-world examples and discuss ideas for potential solutions.<\/p>\n<p>Together let&#8217;s discover:<\/p>\n<ul>\n<li>How our datasets and algorithms share societies historical social biases.<\/li>\n<li>Why this could cause results to be inaccurate and further exaggerate existing discrimination.<\/li>\n<li>How we can measure the impact and change this from a risk into a powerful solution.<\/li>\n<\/ul>\n<table class=\"custom-info\">\n<tr>\n<td>Main language<\/td>\n<td>English Proposal<\/td>\n<\/tr>\n<tr>\n<td>Audience level<\/td>\n<td>Beginner &amp; novice<\/td>\n<\/tr>\n<tr>\n<td>Type of presentation<\/td>\n<td>Slides only<\/td>\n<\/tr>\n<\/table>\n\n                                <\/p>\n                            <\/div>\n                            <div class=\"mini_gap\"><\/div>\n                <div class=\"speakers_row\">\n                    <div class=\"speakers_image\" style=\" background-image: url(https:\/\/voxxeddays.com\/minsk\/wp-content\/uploads\/sites\/42\/2019\/04\/Fiona-Coath-969x768.jpg)\">\n                    <\/div>\n                    <div class=\"centred\">\n                        <div class=\"speakers_description \">\n                            <h3>Fiona Coath<\/h3>\n                            <small><\/small>\n                            <br>\n\t\t\t\t\t        <p>\n\t\t\t\t\t        <a><\/a>Fiona is a software developer and consultant with ThoughtWorks. Her specialty is being a generalist. She is passionate about problem solving, equality and the colour purple.<br>\r\n<table class=\"custom-info\">\r\n  <tr>\r\n    <td><i class=\"fa fa-building twitter-link\"><\/i> Company<\/td>\r\n    <td>ThoughtWorks<\/td> \r\n  <\/tr>\r\n<\/table>\n\t\t\t\t\t        <\/p>\n                        <\/div>\n                    <\/div>\n                <\/div>\n\t\t\t\t\n\t\t\t    <div class=\"clear\">\n\t\t\t    <\/div>\n            <\/div>\n\t\t<\/div>[\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column][vc_empty_space height=&#8221;70px&#8221;][\/vc_column][\/vc_row]<\/p>\n","protected":false},"author":7942,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[46],"tags":[156,155,157,153,154],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v15.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Social implications of Bias in Machine Learning<\/title>\n<meta name=\"description\" content=\"Voxxed Days Minsk is a biggest Java Conference in Belarus and first Voxxed Days conference at the CIS region. 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