[HN Gopher] Most users cannot identify AI bias, even in training...
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       Most users cannot identify AI bias, even in training data
        
       Author : giuliomagnifico
       Score  : 12 points
       Date   : 2025-10-18 18:13 UTC (4 hours ago)
        
 (HTM) web link (www.psu.edu)
 (TXT) w3m dump (www.psu.edu)
        
       | DocTomoe wrote:
       | If bias can only be seen by a minority of people ... is it really
       | 'AI bias', or just societal bias?
       | 
       | > "In one of the experiment scenarios -- which featured racially
       | biased AI performance -- the system failed to accurately classify
       | the facial expression of the images from minority groups,"
       | 
       | Could it be that _real_ people have trouble reading the facial
       | expression of the image of minority groups?
        
         | ecocentrik wrote:
         | By "real people" do you mean people who are not members of
         | those minority groups? Or are people who can "accurately
         | classify the facial expression of images from minority groups"
         | not "real people"?
         | 
         | I hope you can see the problem with your very lazy argument.
        
       | eth0up wrote:
       | Not to be glib, but...
       | 
       | Grok
        
       | delichon wrote:
       | There are two goals in tension: 1) accurate, 2) unbiased. In
       | order to be more unbiased we must limit the training data to the
       | most available for the least represented subclass we want to
       | support. In order to be more accurate we train on all of the data
       | we can get, bias intact.
       | 
       | So the choice is a function of both. How much bias or inaccuracy
       | can you tolerate? Each use case has a different answer.
        
       | 7e wrote:
       | According to research, white Americans report as happier than
       | other groups. So I'm not sure there's bias here, only unhappiness
       | about that result.
        
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       (page generated 2025-10-18 23:00 UTC)