Changes

=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.

 

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: