Brookings October 3, 2022
The prevalence and technical relevance of machine learning algorithms have increased over the years, making predictive decisionmaking tools part of the everyday lives of online users. Today, it is harder to discern what decisions are made by humans, and the others that rely upon the cognition of machines. Most users are unaware of the widespread and normalized use of automated decisionmaking, making them completely oblivious to when machines start, and humans take over, or vice versa. Equally concerning are when online decisions make determinations about one’s eligibility for credit, housing, employment, health care, and educational opportunities.
On this new episode of the Tech Tank podcast, Darrell West is joined by Nicol Turner Lee, senior fellow...
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