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.
Probabilistic Numeric CNNs with Roberto Bondesan - #482
Building a Unified NLP Framework at LinkedIn with Huiji Gao - #481
Dask + Data Science Careers with Jacqueline Nolis - #480
Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479
AI Storytelling Systems with Mark Riedl - #478
Creating Robust Language Representations with Jamie Macbeth - #477
Reinforcement Learning for Industrial AI with Pieter Abbeel - #476
AutoML for Natural Language Processing with Abhishek Thakur - #475
Inclusive Design for Seeing AI with Saqib Shaikh - #474
Theory of Computation with Jelani Nelson - #473
Human-Centered ML for High-Risk Behaviors with Stevie Chancellor - #472
Operationalizing AI at Dataiku with Conor Jensen - #471
ML Lifecycle Management at Algorithmia with Diego Oppenheimer - #470
End to End ML at Cloudera with Santiago Giraldo - #469 [TWIMLcon Sponsor Series]
ML Platforms for Global Scale at Prosus with Paul van der Boor - #468 [TWIMLcon Sponsor Series]
Can Language Models Be Too Big? 🦜 with Emily Bender and Margaret Mitchell - #467
Applying RL to Real-World Robotics with Abhishek Gupta - #466
Accelerating Innovation with AI at Scale with David Carmona - #465
Complexity and Intelligence with Melanie Mitchell - #464
Robust Visual Reasoning with Adriana Kovashka - #463
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