Since the beginning of the coronavirus pandemic, we’ve seen an outpouring of interest on the part of data scientists and AI practitioners wanting to make a contribution. At the same time, some of the resulting efforts have been criticized for promoting the spread of misinformation or being disconnected from the applicable domain knowledge.
In this discussion, we explore how data scientists and ML/AI practitioners can responsibly contribute to the fight against coronavirus and COVID-19. Four experts: Rex Douglass, Rob Munro, Lea Shanley, and Gigi Yuen-Reed shared a ton of valuable insight on the best ways to get involved.
We've gathered all the resources that our panelists discussed during the conversation, you can find those at twimlai.com/talk/370.
An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard - #431
Common Sense as an Algorithmic Framework with Dileep George - #430
Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429
Enabling Clinical Automation: From Research to Deployment with Devin Singh - #428
Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427
Fighting Global Health Disparities with AI w/ Jon Wang - #426
Accessibility and Computer Vision - #425
NLP for Equity Investing with Frank Zhao - #424
The Future of Education and AI with Salman Khan - #423
Why AI Innovation and Social Impact Go Hand in Hand with Milind Tambe - #422
What's Next for Fast.ai? w/ Jeremy Howard - #421
Feature Stores for MLOps with Mike del Balso - #420
Exploring Causality and Community with Suzana Ilić - #419
Decolonizing AI with Shakir Mohamed - #418
Spatial Analysis for Real-Time Video Processing with Adina Trufinescu
How Deep Learning has Revolutionized OCR with Cha Zhang - #416
Machine Learning for Food Delivery at Global Scale - #415
Open Source at Qualcomm AI Research with Jeff Gehlhaar and Zahra Koochak - #414
Visualizing Climate Impact with GANs w/ Sasha Luccioni - #413
ML-Powered Language Learning at Duolingo with Burr Settles - #412
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