As life grows increasingly digital, Americans rely on algorithms in their daily decision-making—to pick their music on Pandora, guide their program choices on Netflix, and even suggest people to date ...
I was halfway through a master’s in Computer Science when my vision changed. I was working as a data scientist during my summer off from school, and I had friends who said things like “I’m at a local ...
(CN) — Can algorithms improve human decision-making by taking out bias-prone factors like age, race and gender? It’s not a particularly new debate, but it’s one that’s gained renewed attention lately ...
This post was co-authored by Vinícius Ferraz, Chief Data & AI Officer at ILI.DIGITAL AG. In today's world, algorithms are everywhere—curating our Spotify playlists, suggesting YouTube videos, and even ...
J. Nathan Matias is an assistant professor at the Department of Communication, Cornell University, Ithaca, New York, USA, and a 2022–23 fellow at the Center for Advanced Study in the Behavioral ...
Before recommendation engines told us what to want, people developed authentic preferences through trial and error—and ...
In today's world, algorithms are everywhere—curating our Spotify playlists, suggesting YouTube videos, and even helping us make financial decisions. But despite their prevalence and power, many of us ...
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