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#2likely just that the people grading the bots were so afraid to be labelled racist that they simply over-scored to compensate
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#3likely just that the people grading the bots were so afraid to be labelled racist that they simply over-scored to compensate
If that were the case wouldn't the same over-scoring be present in the first part of the experiment (where participants were asked about their beliefs around racial stereotypes in general)?
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#4So learning to manage peoples expectations is a key skill when looking for feedback/reviews.
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#5likely just that the people grading the bots were so afraid to be labelled racist that they simply over-scored to compensate
As a corollary, why does there need to be an excuse for this? Maybe it is right, maybe it’s wrong but I’m surprised you’d jump to it must be broken
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#6likely just that the people grading the bots were so afraid to be labelled racist that they simply over-scored to compensate
It’s weird they don’t publish the demographics of the students.
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#7Does anybody have more insights into the research itself? The publication was gated for me. Would be nice to see the details and sample size...etc.
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#8How did they control for non-racial differences in the bots? In the thumbnail the Black bot looks more trustworthy (to me) because the white bot looks like a creepy baby.
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#9How did they control for non-racial differences in the bots? In the thumbnail the Black bot looks more trustworthy (to me) because the white bot looks like a creepy baby.
Yes, both the White and Asian bots have a 12 year-old boy hairstyle.