When it comes to software, one thing we know for sure is that sometimes our tools are going to fail, and introducing Artificial Intelligence and Machine Learning into software tools creates additional vulnerabilities. In Part 1 of our two-part series discussing AI Assurance, we detail methods and findings from a recent audit that IQT Labs conducted on FakeFinder, an open source deep learning tool that predicts whether or not a video is a deepfake. Tune in to learn about our audit approach and overall findings from our IQT Labs experts Andrea Brennen and Ryan Ashley.
How Technology is Augmenting Public Health, with OmniSci’s Todd Mostak
Visualizing Data During a Pandemic, with Plotly’s Nicolas Kruchten
Risk Analytics in a Pandemic, with Metabiota’s Nathan Wolfe
The Effect Disease Modeling Has on Interventions and Planning Scenarios, with Marc Lipsitch
Using AI to Identify Valuable Patterns in Data, with Outlier.AI’s Sean Byrnes
Catastrophic Modeling and Risk Analytics, with Metabiota’s Nita Madhav
The Value of Data and Analytics in Outbreak Response, with Dr. Tom Frieden
Advanced Concepts in Outbreak Analytics Modeling, with Dr. Marita Zimmermann
How Disease Modeling Can Help Inform Public Health Decision Making, with Dr. Nick Reich
Call for a National Forecasting Center
Exploring the Value Proposition for Better Disease Outbreak Data and Forecasting, with Dr. Steven Riley
Infectious Disease Modeling & Forecasting, with Dr. Jeff Shaman
Disease Outbreak Analytics & Forecasting 101
Good Data is Hard, but the Training Must Go On
B.Next Breaks Down COVID-19 – Testing Technologies
Leveraging Sensors to Monitor Patient Health Remotely
B.Next Breaks Down COVID-19 - Vaccines 101
B.Next Breaks Down COVID-19 - A Q&A
B.Next Breaks Down COVID-19 – Visualizing Data Surrounding a Pandemic
B.Next Breaks Down COVID-19 with Ginkgo Bioworks
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