Name: 人工知能とは何か？クラッシュコースAI #1 (What Is Artificial Intelligence? Crash Course AI #1)
Uploaded: 2021-01-14T10:28:08.000Z
Duration: 11 min 46 s
Description: VoiceTubeの動画で発音を聞きながら英語表現を覚えよう！学べる英語：

and welcome to Crash Course Artificial Intelligence.

Now, I want to make sure we're starting on the same page.

It's helping banks make loan decisions, and helping doctors diagnose patients, it's

on our cell phones, autocompleting texts, it's the algorithm recommending YouTube

AI already has a pretty huge impact on all of our lives.

So people, understandably, have some polarized feelings about it.

Some of us imagine that AI will change the world in positive ways, it could end car accidents

because we have self-driving cars, or it could give the elderly great, personalized care.

Others worry that AI will lead to constant surveillance by a Big Brother government.

Some say that automation will take all our jobs.

No, we're not worried about you John Green Bot.

But when we interact with AI that's currently available like Siri...

Siri: “I don't understand 'Is AI going to kill us all.'”

… it's clear that those are still distant futures.

Now to understand where artificial intelligence might be headed, and our role in the AI revolution,

we have to understand how we got to where we are today.

If you know about artificial intelligence mostly from movies or books, AI probably seems

like this vague label for any machine that can think like a human.

Fiction writers like to imagine a more generalized AI, one that can answer any question we might

But that's a pretty rigid way to think about AI and it's not super realistic.

Sorry John Green-bot, you can't do all that yet.

A machine is said to have artificial intelligence if it can interpret data, potentially learn

from the data, and use that knowledge to adapt and achieve specific goals.

Now, the idea of “learning from the data” is kind of a new approach.

But we'll get into that more in episode 4.

So let's say we load up a new program in John Green-bot.

This program looks at a bunch of photos, some of me and some of not of me, and then learns

Then, we can show him a new photo, like this selfie of me here in the studio filming this

Crash Course video, and we'll see if he can recognize that the photo is me.

If he can correctly classify that new photo, we could say that John Green-bot has some

Of course, that's a very specific input of photos, and a very specific task of classifying

With just that program John Green-bot can't recognize or name anyone who /isn't/ me…

Why would anyone choose a bagel when you have a perfectly good donut right here?

He can't do most things that humans do, which is pretty standard for AI these days.

But even with this much more limited definition of artificial intelligence, AI still plays

There are some more obvious uses of AI, like Alexa or Roomba, which is kind of like the

But there are a ton of less obvious examples!

When we buy something in a big store or online, we have one type of AI deciding which and

And as we scroll through Instagram, a different type of AI picks ads to show us.

AI helps determine how expensive our car insurance is, or whether we get approved for a loan.

Like when you submit your college (or job) application AI might be screening it before

The way AI and automation is changing everything, from commerce to jobs, is sort of like the

Industrial Revolution in the 18th century.

This change is global, some people are excited about it, and others are afraid of it.

But either way, we all have the responsibility to understand AI and figure out what role

The AI revolution itself isn't even that old.

The term artificial intelligence didn't even exist a century ago.

It was coined in 1956 by a computer scientist named John McCarthy.

He used it to name the “Dartmouth Summer Research Project on Artificial Intelligence.”

Most people call it the “Dartmouth Conference” for short.

Now, this was way more than a weekend where you listen to a few talks, and maybe go to

Back in the day, academics just got together to think for a while.

The Dartmouth Conference lasted eight weeks and got a bunch of computer scientists, cognitive

psychologists, and mathematicians to join forces.

Many of the concepts that we'll talk about in Crash Course AI, like artificial neural

networks, were dreamed up and developed during this conference and in the few years that

But because these excited academics were really optimistic about artificial intelligence,

For example, Marvin Minsky was a talented cognitive scientist who was part of the Dartmouth

But he also had some ridiculously wrong predictions about technology, and specifically AI.

In 1970, he claimed that in "three to eight years we will have a machine with the general

Scientists at the Dartmouth Conference seriously underestimated how much data and computing

power an AI would need to solve complex, real world problems.

See, an artificial intelligence doesn't really “know” anything when it's first

Babies use their senses to perceive the world and their bodies to interact with it, and

they learn from the consequences of their actions.

My baby niece might put a strawberry in her mouth and decide that it's tasty.