- We designed a call for collective power in the face of one-worlding data colonization
- Thinking-feeling through our borders
Sovereignty refers to the ability of anyone to have control and ownership over their own data. This requires systems to be able to identify and verify data’s geolocation. This value is about asserting control over the AI systems that we are using. Only with meaningful forms of control can we trust systems to support us in carrying out our responsibilities to our communities. It includes ensuring that AI systems respect territory—and the languages, accents, abilities, and cultures from specific lands that may or may not be part of nation states— requiring them to help us care for our own land. It emphasises hyper local practices, cultural requirements and needs. This value includes how AI owners and development corporations distribute not just benefits, but also revenue, amongst the people whose data they use.
It is to do with broad challenges of cross-border clouds that include technical, legal, social, and epistemological complexities. And so, it requires legal and technical facilitators but also IT architectural transformations, research, and social discourse. In addition, in order to cultivate data sovereignty, intense study of the way localities organize knowledge, will require deep study of language, history, social relations, and customs, for this value would require us to build social and critical as well as technical capacities. These go beyond efforts to open-source IT practices and that account for the privilege required to afford the skills necessary to exercise the right of sovereignty.
- Duarte, M. E. (2017). Network sovereignty: Building the internet across Indian Country. Seattle, WA: University of Washington Press