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X-WR-CALDESC:Events for Organizational Ignition
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DTSTART:20210101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20221213T120000
DTEND;TZID=UTC:20221213T130000
DTSTAMP:20260827T224614
CREATED:20221129T225735Z
LAST-MODIFIED:20221212T231256Z
UID:10000126-1670932800-1670936400@organizationalignition.com
SUMMARY:Eliminating Bias from Technology for Developers
DESCRIPTION:December 13 @ 12:00 pm – 1:00 pm EST\nPrice: $35.00 \n\n\n\n \nAs reported in the Forbes article “The Role Of Bias In Artificial Intelligence”\, facial recognition systems are under scrutiny. The class imbalance is a leading issue in facial recognition software. A dataset called “Faces in the Wild\,” considered the benchmark for testing facial recognition software\, had data that was 70% male and 80% white. Although it might be good enough to be used on lower-quality pictures\, “in the wild” is a highly debatable topic. \nApart from algorithms and data\, researchers and engineers developing any system are also responsible for bias. According to VentureBeat\, a Columbia University study found that “the more homogenous the [engineering] team is\, the more likely it is that a given prediction error will appear.” This can create a lack of empathy for the people who face problems of discrimination\, leading to an unconscious introduction of bias in these algorithmic-savvy systems. \nSo\, how can we eliminate the negative impact of bias in the use or development of our technology? \nAfter this workshop you will be able to: \n\nMinimize if not eliminate the embedding of bias in the development of your technology\nMinimize if not eliminate the embedding of bias in the configuration of your technology\nMinimize if not eliminate bias in the use of your technology\n\nSponsored By
URL:https://organizationalignition.com/event/eliminating-bias-from-technology-for-developers-2/
LOCATION:NH
CATEGORIES:#EliminateBiasInTech Workshop Events
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