Four layers of bias in hiring algorithms: why dropping gender fails
For HR leads and small-business owners weighing CV-screening software. Dropping the gender column is not enough, because bias also sits in proxies, in social structure and in the choice of fairness metric; the post gives questions to put to a vendor at each layer.
#algorithmic-bias#hiring-algorithms#fairness-metrics#amazon#ai-governance
