Using bigger AI training data sets may produce more racist results
Contrary to Silicon Valley wisdom, training AIs on larger data sets could worsen their tendency to replicate societal biases and racist stereotypes
Contrary to Silicon Valley wisdom, training AIs on larger data sets could worsen their tendency to replicate societal biases and racist stereotypes
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Saturday Morning Breakfast Cereal – Fossils
Identifying the causal variants and mechanisms that drive complex traits and diseases remains a core problem in human genetics. The majority of these variants have…
Kevin Mitchell is an associate professor of Genetics and Neuroscience at Trinity College Dublin. His research is aimed at understanding the genetic program s…
The efficient coding approach proposes that neural systems represent as much sensory information as biological constraints allow. It aims at formalizing encoding as a constrained…
Marcus Munafò, our new Associate Editor for Research, on credibility in how psychologists report results.
AUSTIN, TX—In the latest round of layoffs for the company’s struggling automotive division, electric vehicle manufacturer Tesla fired the entire team behind brakes, sources confirmed…
Nature Neuroscience – The layout of cortical systems varies across people, which is assumed to be largely due to border shifts between nearby systems. Dworetsky…
The question of whether the early visual cortex (EVC) is involved in visual mental imagery remains a topic of debate. In this paper, I propose…
Fang et al. discovered that male and female mice display different empathic behaviors in response to others’ pain. Specifically, males engage in self-grooming, whereas females demonstrate…