Hey. I'm Jabril, and welcome to Crash Course Artificial Intelligence. 

Whether we notice it or not, artificial intelligence is everywhere. It's guiding critical decisions in every field, from finance to health. It's driving the algorithms of technology giants like Google, Amazon, Facebook, and Netflix. And, it's what puts the "smart" in our smart devices, like Siri, Alexa, and Google Assistant. Artifically intelligent systems are analyzing huge amounts of data that we're generating every day to infer patterns and predict likely futures, like the amount of yogurt people might buy next week at the grocery store, so the store knows how much to stock. 

Everyone seems to be talking about AI, and how it's going to revolutionize the world or create some dystopian future. While we don't know what the future holds, we here at Crash Course believe that creating a better outcome starts with a better understanding. 

The goal of this course is to teach the logic behind AI by tracing its history, examining how it's being used today, and showing some practical examples. And, we're going to try something a little different; we'll work together on labs, writing and implementing code to program our very own AI systems.

Along the way, we'll spend several episodes on a hot area of AI know as machine learning. Using the brain as inspiration, these AI can learn from examples. We've taught machines to recognize people in photos, predict the next word we're going to type on our phones, and recommend videos for us on YouTube. 

But, AI is broader than just machine learning. So, we'll talk about how AI systems can act based on plans, rules, and logical representations of the world. These are the kinds of algorithms that are used to plan the path of a delivery-drone or determine the best move in a game of chess.

But, before we get into all the technical stuff, I should introduce myself. I'm your human host, Jabril. I have a YouTube channel called Jabrils, where I look for interesting problems, be it personal or universal, try to solve them using code, and vlog my adventures and mistakes along the way. I got my start in machine learning when I decided to build a machine learning game from scratch. I didn't have any prior knowledge on the subject, which I think ended up helping it resonate with people.

Now, I'm hosting Crash Course AI, but I'm not doing it alone. John-Green-Bot! [Robot enters] This is my non-human sidekick, John-Green-Bot, who will help me demonstrate some core ideas and show the limits and possibilities of current AI. 

John-Green-Bot: Greetings, human viewers.

Now, I'm excited to learn about AI, because I want to be able to go to new cities and be guaranteed to get the type of pizza that I think is the tastiest, not necessarily what's most popular. Or, when I go to the doctor, I could get a prescription specifically tailored to me and my exact symptoms. With AI, this type of future is possible.

AI is still a new field, so there are a lot of problems to solve, but not that many people trying to solve them. We also have to think about what the future of AI means for us as humans. And, I believe it's in our best interest to have as many people as possible who understand the field of AI, so that the conversation can expand.

Thanks for watching, and, as they say in John-Green-Bot's hometown

John-Green-Bot: Don't forget to be blossom!

No, John-Green-Bot. Awesome. Don't forget to be awesome. We'll see you guys next week. 

[Outro]

Thanks to PBS for sponsoring Crash Course AI. If you want to help keep Crash Course free for everyone, forever, you can join our community on Patreon. And, if you want to keep learning from this course, click the playlist below.