The Myth of Objective Data

This begs the question: What might it mean to reimagine the form of these datasets in a world unconstrained by pressures like speed, scale, and universality? By looking to artists like Anna Ridler andothers for their rejection of “off-the-shelf” datasets, we can imagine what it would be like to curate datasets with much deeper intention and context... See more

One where the arrogant, dictatorial algorithms that fill many of these pages are a thing of the past. One where we stop seeing machines as objective masters and start treating them as we would any other source of power. By questioning their decisions; scrutinizing their motives; acknowledging our emotions; demanding to know who stands to benefit; h

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