{"id":2875,"date":"2023-10-13T11:13:24","date_gmt":"2023-10-13T15:13:24","guid":{"rendered":"https:\/\/agingindata.ca\/?post_type=projects&p=2875"},"modified":"2023-12-07T14:20:57","modified_gmt":"2023-12-07T19:20:57","slug":"data-harms","status":"publish","type":"projects","link":"https:\/\/agingindata.ca\/projects\/data-harms\/","title":{"rendered":"Data Harms in Canada: Investigating The Significance of Age"},"content":{"rendered":"\n
What do data harms targeting older adults look like in Canada? And what can we do to redress the inequalities they create? That\u2019s what Joanna Redden wants to know.<\/p>\n\n\n\n
Data harms can occur in both structural and individualized settings. Structural data harms can occur both intentionally and unintentionally. Bias is embedded into automated systems, and that can influence people\u2019s access to opportunities, services, and health care. On an individual level, data harms happen when people are targeted with disinformation in ways that can corrupt the democratic process. This study seeks to understand exactly what role age plays in the perpetuation of these data harms and where exactly they are happening in Canada. Furthermore, Redden and her team want to understand what is being done to mitigate this harm – and potentially suggest a few solutions.<\/p>\n\n\n\n