Values, biases automated
While we Africans argue, politic, loot, fail to fund our own innovation, other cultures document, automate their values, biases.. https://www.theguardian.com/technology/2017/apr/13/ai-programs-exhibit-racis... And the AI system was more likely to associate European American names with pleasant words such as “gift” or “happy”, while African American names were more commonly associated with unpleasant words. The findings suggest that algorithms have acquired the same biases that lead people (in the UK and US, at least) to match pleasant words and white faces in implicit association tests. These biases can have a profound impact on human behaviour. One previous study showed that an identical CV is 50% more likely to result in an interview invitation if the candidate’s name is European American than if it is African American. The latest results suggest that algorithms, unless explicitly programmed to address this, will be riddled with the same social prejudices.
Muraya Thanks for sharing this. It just highlights one important issue we seem to forget. It's called Artificial Intelligence for a reason. It is man made and it will take all the imperfections of the person who created it in the first place. Ali Hussein Principal Hussein & Associates +254 0713 601113 Twitter: @AliHKassim Skype: abu-jomo LinkedIn: http://ke.linkedin.com/in/alihkassim "We are what we repeatedly do. Excellence, therefore, is not an act but a habit." ~ Aristotle Sent from my iPad
On 14 Apr 2017, at 1:04 PM, S.M. Muraya via kictanet <kictanet@lists.kictanet.or.ke> wrote:
While we Africans argue, politic, loot, fail to fund our own innovation, other cultures document, automate their values, biases..
https://www.theguardian.com/technology/2017/apr/13/ai-programs-exhibit-racis...
And the AI system was more likely to associate European American names with pleasant words such as “gift” or “happy”, while African American names were more commonly associated with unpleasant words.
The findings suggest that algorithms have acquired the same biases that lead people (in the UK and US, at least) to match pleasant words and white faces in implicit association tests.
These biases can have a profound impact on human behaviour. One previous study showed that an identical CV is 50% more likely to result in an interview invitation if the candidate’s name is European American than if it is African American. The latest results suggest that algorithms, unless explicitly programmed to address this, will be riddled with the same social prejudices. _______________________________________________ kictanet mailing list kictanet@lists.kictanet.or.ke https://lists.kictanet.or.ke/mailman/listinfo/kictanet Twitter: http://twitter.com/kictanet Facebook: https://www.facebook.com/KICTANet/
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S.M. Muraya