15,627
edits
Changes
Jump to navigation
Jump to search
Line 1:
Line 1: − + Line 6:
Line 6: − + + + + +
→Why?
=Why?=
=Background=
Data protection activism, particularly efforts against profiling and unaccountable automated decision-making, has an [https://en.wikipedia.org/wiki/Intersectionality intersectional dimension].
Data protection activism, particularly efforts against profiling and unaccountable automated decision-making, has an [https://en.wikipedia.org/wiki/Intersectionality intersectional dimension].
There is a class component: negative effects increase on the poor. This is often narrowly conceived around privacy ("the rich can buy their privacy"), but there is a broader link: gig work for instance leverages extensively automated decision-making.
There is a class component: negative effects increase on the poor. This is often narrowly conceived around privacy ("the rich can buy their privacy"), but there is a broader link: gig work for instance leverages extensively automated decision-making.
Finally, there is a gender component, which should be explored.
Finally, there is a clear gender component to data protection.
=Why?=
The main topic here is in asking how history of the feminist movement, and navigating these intersectionalities, can inform PersonalData.IO's activism.
=Questions=
=Questions=
What lessons can data protection activists draw from the feminist movement? Examples:
What lessons can data protection activists draw from the feminist movement? Examples: