Tag Archives: and IP conferences

WIPIP, PLENARY SESSION 1 — Race, Gender, and IP

Dan Burk, University of California, Irvine School of Law Racial Bias in Algorithmic IP Unpacking bias: divergent meanings: statistical bias (sampling), design (wrong type of model, model created for one purpose used for another), the fact that “raw data” is … Continue reading

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