Panel: Responsible Data Science in the Fight Against COVID-19

1024 1024 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

“We are at a critical point in the global response to COVID-19 – we need everyone to get involved in this massive effort to keep the world safe.” – WHO Director-General Dr. Tedros Adhanom Ghebreyesus

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.

In case you missed it, check out the replay above! We’ve also gathered all the resources that our panelists discussed during the conversation, you can find those below. Keep an eye out for the next panel, which we’ve tentatively scheduled for Wednesday, May 13th. To stay up to date you can subscribe to our Youtube page or follow us on Twitter for updates.

Big shout out to IBM for their support in helping to make this panel possible! IBM continues to support major initiatives — applying data, knowledge, computing power and insights, to solve the challenging problems presented by the coronavirus. Some of these initiatives include their work with the High-Performance Computing Consortium, providing detailed virus tracking information on the Weather Channel, and offering free access to Watson Assistant for COVID-19 related applications. Click here to find out more about IBM’s response.


Connect with our Panelists!



Additional Information & Resources

Trust and Transparency Resources


Leave a Reply

Your email address will not be published.