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Histories of discrimination can live on in digital platforms, and if they go unquestioned, they bec
Histories of discrimination can live on in digital platforms, and if they go unquestioned, they bec
Histories of discrimination can live on in digital platforms, and if they go unquestioned, they bec
Histories of discrimination can live on in digital platforms, and if they go unquestioned, they bec
Histories of discrimination can live on in digital platforms, and if they go unquestioned, they bec
Histories of discrimination can live on in digital platforms, and if they go unquestioned, they bec
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Kate Crawford:
We need to be vigilant about how we design and train these machine-learning systems, or we will seeKate Crawford:
Many of us now expect our online activities to be recorded and analyzed, but we assume the physicalKate Crawford:
We need a sweeping debate about ethics, boundaries, and regulation for location data technologies.Kate Crawford:
The promoters of big data would like us to believe that behind the lines of code and vast databasesKate Crawford:
Numbers can't speak for themselves, and data sets - no matter their scale - are still objects of huKate Crawford:
Biases and blind spots exist in big data as much as they do in individual perceptions and experiencKate Crawford:
While many big-data providers do their best to de-identify individuals from human-subject data setsKate Crawford:
If you're not thinking about the way systemic bias can be propagated through the criminal justice sKate Crawford:
Data will always bear the marks of its history. That is human history held in those data sets.Kate Crawford:
If you have rooms that are very homogeneous, that have all had the same life experiences and educat