The standard line in AI ethics is that product teams—including product managers or owners, data scientists, engineers, and designers—need “tools” to think about the ethical risks of their products. (I put the word “tools” in scare quotes because it’s a term that gets thrown around all the time and encompasses so many kinds of things—from lists of questions with qualitative answers to quantitative or mathematical analyses to lists of alleged ethical best practices—that it’s nearly meaningless.) This is a reasonable thought and, on the whole, it’s true. But divorced from a larger context, it’s also misleading.
If teams aren’t interested in using the tools (you don’t have their buy-in), the tools don’t fit their workflow ...
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