Unsettling data: Difference between revisions
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What prevents data governance law from redressing the widespread exploitation of labour and land rampant across the data economies of our digital Earth? | What prevents data governance law from redressing the widespread exploitation of labour and land rampant across the data economies of our digital Earth? | ||
Unsettling Data answers this question by scrutinising the legal grammar of ‘data’ to expose the persistence of hierarchical power relations between the observer | ''Unsettling Data'' answers this question by scrutinising the legal grammar of ‘data’ to expose the persistence of hierarchical power relations between the observer | ||
and the observed. The role of the modern legal form in fortifying and obscuring these power relations is elucidated. Proposing representationalism as | and the observed. The role of the modern legal form in fortifying and obscuring these power relations is elucidated. Proposing representationalism as | ||
the framework to map these hidden yet pervasive power relations, the book reveals how the representationalist legal form serves to delink the agency of the | the framework to map these hidden yet pervasive power relations, the book reveals how the representationalist legal form serves to delink the agency of the | ||
data subject from unjust labour and land exploitation in the digital political economy. Highlighting the importance of Indigenous/Adivasi perspectives for unsettling the philosophical core of Western(ised) data governance, Unsettling Data argues for the formal reconceptualisation of data as the entangled human and unhuman agencies implicated in its production; paving the way for a new legal grammar of data rooted in relational reciprocity. | data subject from unjust labour and land exploitation in the digital political economy. Highlighting the importance of Indigenous/Adivasi perspectives for unsettling the philosophical core of Western(ised) data governance, ''Unsettling Data'' argues for the formal reconceptualisation of data as the entangled human and unhuman agencies implicated in its production; paving the way for a new legal grammar of data rooted in relational reciprocity. | ||
Unsettling Data will be of interest to readers in critical legal theory, law and humanities, law | ''Unsettling Data'' will be of interest to readers in critical legal theory, law and humanities, law | ||
and political economy, data protection, information law, AI governance, intellectual property as well as anyone seeking to understand the legal form or | and political economy, data protection, information law, AI governance, intellectual property as well as anyone seeking to understand the legal form or | ||
aesthetics of data from a critical lens. | aesthetics of data from a critical lens. | ||
Revision as of 13:10, 29 December 2025
Unsettling Data
Mapping Labour and Land against the Representationalist Legal Form
Dilan Dagaz
What prevents data governance law from redressing the widespread exploitation of labour and land rampant across the data economies of our digital Earth? Unsettling Data answers this question by scrutinising the legal grammar of ‘data’ to expose the persistence of hierarchical power relations between the observer and the observed. The role of the modern legal form in fortifying and obscuring these power relations is elucidated. Proposing representationalism as the framework to map these hidden yet pervasive power relations, the book reveals how the representationalist legal form serves to delink the agency of the data subject from unjust labour and land exploitation in the digital political economy. Highlighting the importance of Indigenous/Adivasi perspectives for unsettling the philosophical core of Western(ised) data governance, Unsettling Data argues for the formal reconceptualisation of data as the entangled human and unhuman agencies implicated in its production; paving the way for a new legal grammar of data rooted in relational reciprocity.
Unsettling Data will be of interest to readers in critical legal theory, law and humanities, law and political economy, data protection, information law, AI governance, intellectual property as well as anyone seeking to understand the legal form or aesthetics of data from a critical lens.
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