Banana Data Podcast
Welcome to the Banana Data Podcast! We're a data science podcast focused on the latest & greatest of the DS ecosystem, sprinkled in with our musings & data science expertise. With topics ranging from ethical AI and transparency to robot pets, our hosts, Christopher Peter Makris & Corey Strausman, are here to keep you up to date on the latest trends, news, and big convos in data. If you're looking to keep the knowledge up, be sure to also subscribe to our weekly Banana Data Newsletter! Register here: https://banana-data.com/
Banana Data Podcast
Culpability in AI failures, Fooling NNs with NNs, AI for cancer screenings, and Epsilon Greedy Multi-Armed Bandits
This week we’re diving into some deeper impacts of AI’s successes and failures- asking where responsibility lies for an algorithm’s failures, and the endless benefits of accessibility and responsibility that come with AI implemented in healthcare. We’re also taking a deep dive into Epsilon greedy multi-armed bandits and how we can more accurately describe our successes (and our failures) in AI.
When algorithms mess up, the nearest human gets the blame by Karen Hao (MIT Technology Review)
Google Trained Its AI to Predict Lung Cancer by Christine Fisher (Engadget)
No This AI Can’t Finish Your Sentence by Tiernan Ray (ZDNet)
Introduction to Multi-Armed Bandits with Applications in Digital Advertising by Dave King (SpotX)
Register for EGG NYC, Dataiku's human-centered AI conference on June 20th to hear from leaders in the AI & advanced analytics space, including WIRED, Twitter, Hinge, and more!