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How to fix it?
TIETOJA TÄSTÄ JAKSOSTA
From credit ratings to job applications, increasingly it is machines making decisions that impact the lives of people.
However, is it always understood how well algorithms perform? A machine-learning algorithm is only as good as the data it is given, and bad data can lead to bias.
This week, we hear about examples of where biases happen, and what can be done to reduce this risk, as explained by Nuria Oliver, Chief Scientific Advisor to the Vodafone Institute and Chief Data Scientist at Data-Pop Alliance.
Like the show? Have some feedback? Let us know what you think at gigalife@vodafone.com or leave us a review.
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MUITA jaksoja TÄSSÄ PODCASTISSA
A brand new series by Vodafone. Ellie Williams hosts as we explore the people working on technology that will make societies future-ready. The first stories will be arriving in your feed over the coming weeks. For more great stories about the connected future visit our blog gigalife.vodafone.com
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We follow the journeys of two similarly passionate founders…
Vastuuvapautusilmoitus: Tälle sivulle upotettu podcast ja kuvitus ovat peräisin Vodafone:ltä, joka on sen omistajan omaisuutta, eikä se ole sidoksissa Listen Notes, Inc:n tukemaan.
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Kiitos, kun autoit pitämään podcast-tietokantaa ajan tasalla.
