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Crash Course: Artificial Intelligence
Humans and AI Working Together #14
Season 1
Episode 14
Human-AI teams allow us to fill in each others weaknesses leveraging human creativity and insight with the ability to perform rote manual tasks and synthesize lots of information. This kind of collaboration can help us make better decisions, brainstorm new inventions, give us superhuman abilities, rescue victims of natural disasters, and of course become the ultimate chess master.
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10:50
In our final episode of Crash Course AI, we're going to look towards the future.
13:01
Jabril tries to make an AI to settle the question once and for all.
10:56
We're going to talk about 5 common types of algorithmic bias we should pay attention to.
11:08
Search engines are just AI systems that try to help us find what we’re looking for.
14:33
We need to save Jabril and John Green Bot’s movie nights.
10:19
We’re going to talk about recommender systems.
13:06
We create a game and then build an AI to destroy it.
11:11
One of the best test spaces for building new AI systems are games.
9:52
Robots are built to perform specific tasks.
13:01
Symbolic AI represents problems using symbols and then uses logic to search for solutions.
11:07
Reinforcement Learning.
15:17
Let’s try to help John Green Bot sound a bit more like the real John Green using NLP.