Аудиодорожка этого эпизода может быть повреждена.
How to fix it?
ОБ ЭТОМ ЭПИЗОДЕ
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.
английский
США
ДРУГИЕ ЭПИЗОДЫ В ЭТОМ ПОДКАсте
What happens when you team up a startup founder with a mentor from a large organisation?
This week, we explore everything from the cultural differences, working relationships and learning points that can be taken from such an experiment.
We follow the journeys of two similarly passionate founders…
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
When disaster strikes, it is a natural reaction to want to connect with loved ones and seek help. A line of communication is critical for victims and rescue workers to receive and provide vital news, transfer money, and to start the process of rebuilding.
Since 2011, Vodafone Foundation’s Instant …
Drone logistics has fast become a hot topic - but what if you could use it to deliver something more important than pizza and shampoo? Eugene and Thomas of MamaBird are doing just that - they're taking advantage of this emerging technology to ensure that women in Malawi have access to the right san…
Отказ от ответственности: Подкаст и иллюстрации, встроенные в эту страницу, взяты из Vodafone, который является собственностью его владельца и не связан или не одобрен Listen Notes, Inc.
ИЗМЕНИТЬ
Спасибо, что помогаете поддерживать базу подкастов актуальной.
