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![The Future of Artificial Intelligence #20](https://kcet.brightspotcdn.com/dims4/default/de24e23/2147483647/strip/true/crop/1920x1080+0+0/resize/768x432!/quality/90/?url=https%3A%2F%2Fimage.pbs.org%2Fvideo-assets%2FQ6F1NzP-asset-mezzanine-16x9-uwo0SY2.jpg)
10:50
In our final episode of Crash Course AI, we're going to look towards the future.
![Cats vs Dogs? Let's Make an AI to Settle This (LAB) #19](https://kcet.brightspotcdn.com/dims4/default/2542702/2147483647/strip/true/crop/1920x1080+0+0/resize/768x432!/quality/90/?url=https%3A%2F%2Fimage.pbs.org%2Fvideo-assets%2FsXBISB7-asset-mezzanine-16x9-0feHiNt.jpg)
13:01
Jabril tries to make an AI to settle the question once and for all.
![Algorithmic Bias and Fairness #18](https://kcet.brightspotcdn.com/dims4/default/9c3e2fa/2147483647/strip/true/crop/1920x1080+0+0/resize/768x432!/quality/90/?url=https%3A%2F%2Fimage.pbs.org%2Fvideo-assets%2FUDGEON0-asset-mezzanine-16x9-78NuNSm.jpg)
10:56
We're going to talk about 5 common types of algorithmic bias we should pay attention to.
![Web Search #17](https://kcet.brightspotcdn.com/dims4/default/664654a/2147483647/strip/true/crop/1920x1080+0+0/resize/768x432!/quality/90/?url=https%3A%2F%2Fimage.pbs.org%2Fvideo-assets%2Fg55ztCT-asset-mezzanine-16x9-QxlmAGf.jpg)
11:08
Search engines are just AI systems that try to help us find what we’re looking for.
![Let’s Make a Movie Recommendation System (LAB) #16](https://kcet.brightspotcdn.com/dims4/default/fb583c2/2147483647/strip/true/crop/1920x1080+0+0/resize/768x432!/quality/90/?url=https%3A%2F%2Fimage.pbs.org%2Fvideo-assets%2FnleBYZE-asset-mezzanine-16x9-Zgqtihn.jpg)
14:33
We need to save Jabril and John Green Bot’s movie nights.
![How YouTube Knows What You Should Watch #15](https://kcet.brightspotcdn.com/dims4/default/1677b80/2147483647/strip/true/crop/1920x1080+0+0/resize/768x432!/quality/90/?url=https%3A%2F%2Fimage.pbs.org%2Fvideo-assets%2F6KLt4cD-asset-mezzanine-16x9-wscg2ON.jpg)
10:19
We’re going to talk about recommender systems.
![Humans and AI Working Together #14](https://kcet.brightspotcdn.com/dims4/default/8773ba1/2147483647/strip/true/crop/1920x1080+0+0/resize/768x432!/quality/90/?url=https%3A%2F%2Fimage.pbs.org%2Fvideo-assets%2Fk9DnHiT-asset-mezzanine-16x9-xbWvehV.jpg)
9:56
We’re going to focus on the benefits of humans and AI working together.
![Let's Make an AI that Destroys Video Games (LAB) #13](https://kcet.brightspotcdn.com/dims4/default/d154550/2147483647/strip/true/crop/1920x1080+0+0/resize/768x432!/quality/90/?url=https%3A%2F%2Fimage.pbs.org%2Fvideo-assets%2F28LZOgF-asset-mezzanine-16x9-g8tf2kK.jpg)
13:06
We create a game and then build an AI to destroy it.
![AI Playing Games #12](https://kcet.brightspotcdn.com/dims4/default/4005403/2147483647/strip/true/crop/1920x1080+0+0/resize/768x432!/quality/90/?url=https%3A%2F%2Fimage.pbs.org%2Fvideo-assets%2Fwscu73w-asset-mezzanine-16x9-wjH28YY.jpg)
11:11
One of the best test spaces for building new AI systems are games.
![Robotics #11](https://kcet.brightspotcdn.com/dims4/default/19cf352/2147483647/strip/true/crop/1920x1080+0+0/resize/768x432!/quality/90/?url=https%3A%2F%2Fimage.pbs.org%2Fvideo-assets%2F4dlv1wc-asset-mezzanine-16x9-hbqUtJP.jpg)
9:52
Robots are built to perform specific tasks.
![Symbolic AI #10](https://kcet.brightspotcdn.com/dims4/default/f45c5b0/2147483647/strip/true/crop/1920x1080+0+0/resize/768x432!/quality/90/?url=https%3A%2F%2Fimage.pbs.org%2Fvideo-assets%2FrR5Fz4z-asset-mezzanine-16x9-PG1v1Io.jpg)
13:01
Symbolic AI represents problems using symbols and then uses logic to search for solutions.
![Reinforcement Learning #9](https://kcet.brightspotcdn.com/dims4/default/e87aebf/2147483647/strip/true/crop/1920x1080+0+0/resize/768x432!/quality/90/?url=https%3A%2F%2Fimage.pbs.org%2Fvideo-assets%2FUQhywDE-asset-mezzanine-16x9-uk0Efjf.jpg)
11:07
Reinforcement Learning.