T5. Accuracy and fairness of AI are both important, but there are tradeoffs between them once the training data have been collected. #radAIchat@stanfordAIMI@StanfordHAI
Empirical characterization of fair machine learning for clinical risk prediction https://t.co/Wzrk1AuIBk
🚨Announcing the ML4data workshop at ICML 2021🚨 — a workshop focused on how we use ML for our most precious resource: data
https://t.co/H5xlzVFcTV
#icml2021#icml21#ml4data
The competition is heating up! It's so exciting to see teams making progress on this challenging #ComputerVision and #ConservationTech task 💪💪💪
There's still two more weeks before the competition deadline!
Sharing @IvaGumnishka talk “Ethical Data Labeling” An introduction to bias in AI, its implications, and what we can do to mitigate the issue. It is inspiring to see how her social enterprise provides annotation works to many refugees. https://t.co/QSwfF9VMn4
#aiforgood
Sharing AI For Mankind tech talk "Computer Vision for Wildlife Monitoring" by @sarameghanbeery
A great overview of wildlife monitoring, different challenges and recent advancements in applying computer vision in this domain.
https://t.co/Q7YAcsVzwr
#aiforgood#AI4Wildlife
Interested in the innovative use of computer vision for wildlife monitoring and ethical data labeling ? Join AI For Mankind Tech Talk tomorrow Sat April 17 at 9 am Pacific Time. Register here:
https://t.co/WvBebQxuEo Our great speakers are @sarameghanbeery and @IvaGumnishka
I named my book “How to Avoid a Climate Disaster,” not “How to Stop Climate Change,” because our climate is already changing—and no one will be hurt more by climate change than the world’s poorest people. Here's how we can help them adapt. https://t.co/9mLJUpYErv
Listen to PhD students Samreen Anjum and Yinan Zhao from The University of Austin at Texas on how VizWiz was curated to address dataset mismatch from real users’ needs. The real users here are people who are blind. https://t.co/y9ffVAMSyG
#visualquestionanswering
Come learn about one of the exciting fields of deep learning: Visual Question Answering at 11 am PST today. Learn about VizWiz a VQA dataset and how it can be used to build assistive technologies for people are blind. Register to join https://t.co/km3SsnUGTs