Episode description
Episode description
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)
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