Big Data Justice: A Case for Regulating the Global Information Commons
Kai Spiekermann, Adam Slavny, David Axelsen, Holly Lawford-Smith
JOURNAL OF POLITICS | UNIV CHICAGO PRESS | Published : 2021
The advent of artificial intelligence (AI) challenges political theorists to think about data ownership and policy makers to regulate the collection and use of public data. AI producers benefit from free public data for training their systems while retaining the profits. We argue against the view that the use of public data must be free. The proponents of unconstrained use point out that consuming data does not diminish its quality and that information is in ample supply. Therefore, they suggest, publicly available data should be free. We present two objections. First, allowing free data use promotes unwanted inequality. Second, contributors of information did not and could not anticipate th..View full abstract
Awarded by Det Frie Forskningsrad
This article was written by the London Cooperative, a philosophy writing collective made up of the four authors. All authors contributed equally. David Axelsen gratefully acknowledges support from Det Frie Forskningsrad (grant DFF-4089-00313).