S1 E20 - 10m 50s
We've spent much of this series explaining how and why we don't have the Artificial General Intelligence that we see in movies. Siri frequently doesn't understand us, we probably shouldn't sleep in our self-driving cars, and those recommended videos on YouTube & Netflix often aren't what we really want to watch next. Let's talk about what we do know, how we got here, and where we think it's headed
S1 E19 - 13m 1s
Jabril tries to make an AI to settle the question once and for all, "Will a cat or a dog make us happier?" But in building this AI, Jabril will accidentally incorporate the very bias he was trying to avoid. So today we'll talk about how bias creeps into our algorithms and what we can do to try to account for these problems. https://colab.research.google.com/drive/1N5IdMTmiNbwEOD8dqammN8GAfpk41a…
S1 E18 - 10m 56s
We're going to talk about five common types of algorithmic bias we should pay attention to: data that reflects existing biases, unbalanced classes in training data, data that doesn't capture the right value, data that is amplified by feedback loops, and malicious data.
Stream tens of thousands of hours of your PBS and local favorites with WETA Passport whenever and wherever you want. Catch up on a single episode or binge-watch full seasons before they air on TV.