{"id":1050,"date":"2020-11-11T10:42:06","date_gmt":"2020-11-11T15:42:06","guid":{"rendered":"https:\/\/gayleboyer.com\/?p=1050"},"modified":"2022-07-14T09:58:07","modified_gmt":"2022-07-14T13:58:07","slug":"tech-and-bias","status":"publish","type":"post","link":"https:\/\/gayleboyer.com\/tech-and-bias\/","title":{"rendered":"Tech [and] Bias"},"content":{"rendered":"\n

Since participating in YWCA Cleveland\u2019s amazing 21-Day Racial Equity Challenge<\/a> last year, I\u2019ve been working to learn more about data\/tech bias. It\u2019s a huge, ugly, multi-fanged beast, from the appalling lack of diversity in Silicon Valley<\/a> to algorithms<\/a> that are spreading systemic bias faster than COVID-19 (and with equally devastating effects).
Definitely depressing and not a little overwhelming. But here are a few resources that have had a particular impact on me: <\/p>\n\n\n\n