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“As is often the case with #AI discourse, the conversation quickly narrowed to narrowly technical questions of bias, accuracy, and machine ethics.

This isn’t surprising. Since the beginning of the “techlash” a decade ago, technology critics have tended to take a view of #technological politics that is both internalist and partial.

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As I’ve mentioned in the past, there are historical reasons for the popularity of this perspective, namely that the most recent generation of AI / #ML fairness researchers grew up inside of Big #Tech. They spent years thinking about how to make these systems fair and unbiased—something the firms assumed would make #emerging #technologies trustworthy and marketable—but relatively little time thinking about contexts and conditions of use.

#Lavender offers a good case study of the limitations of such an approach.

We do not, and likely cannot, understand the technical underpinnings of these technologies.”