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.
Data Science on AWS with Chris Fregly and Antje Barth - #490
Accelerating Distributed AI Applications at Qualcomm with Ziad Asghar - #489
Buy AND Build for Production Machine Learning with Nir Bar-Lev - #488
Applied AI Research at AWS with Alex Smola - #487
Causal Models in Practice at Lyft with Sean Taylor - #486
Using AI to Map the Human Immune System w/ Jabran Zahid - #485
Learning Long-Time Dependencies with RNNs w/ Konstantin Rusch - #484
What the Human Brain Can Tell Us About NLP Models with Allyson Ettinger - #483
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
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