Name: 人工知能のトレーニング6分間の英語 (Training artificial intelligence: 6 Minute English)
Uploaded: 2021-01-14T10:18:19.000Z
Duration: 6 min 35 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：

Hello. This is 6 Minute English from BBC Learning

Do you like cooking, Sam? There’s a new

recipe I’ve been trying out - it’s for

Well, take a pound of chicken, then some cubed

Eh? I thought you said it was for ‘frosted

Yes, that’s right. Now heat it up until

Ugh, that sounds disgusting! Who on earth

It’s not ‘who’ told me, Sam, but ‘what’.

In fact, that recipe was made by computers

using artificial intelligence, or AI, which

is the topic of today’s programme. In real

life, AI is making huge progress - from car

satnavs to detecting cancer cells. But as

you can see from that revolting recipe, things

So, just how intelligent is artificial intelligence?

I mean, it definitely needs some cooking lessons!

Right. AI is not as intelligent as we tend

to think. AI programmes use artificial brain

cells to roughly imitate real brain cell activity,

but they’re still a long way behind human

levels of intelligence. And that’s my quiz

question – in terms of brain cell count,

what level of intelligence is AI currently

Well, I don’t think any of those are good

cooks either, to be honest. I’ll say c)

Nice guess, Sam. We’ll find out the answer

later. But first let’s find out more about

how AI misunderstandings like the oyster recipe

can happen. Janelle Shane is the author of

‘You Look Like a Thing and I Love You’

experiences and bizarre experiments with AI.

You Look Like a Thing and I Love You – that’s

The book title is what a AI produced when

asked to write chat-up lines – remarks men

and women make to start up a conversation

with someone they don’t know but find attractive.

Here she is talking to the BBC World Service

So ‘Machine learning’ is what most programmers

mean when they say ‘AI’. In the programme

that we’re used to, if you want to have

a computer programme solve a problem you have

to have a human programmer write down exhaustive

step-by-step instructions on how to do everything.

But with ‘machine learning’ you just give

it the goal, and then the programme figures

out via trial and error how it’s going to

So even though we’re talking about machines

learning for themselves, there still need

to be humans involved at the start of the

journey. This human teaching is done by computer

programmers – people who write, or code,

Right. These programmers write algorithms

– a set of rules or procedures to be followed

in problem-solving exercises. So, for example,

the AI that wrote that oyster recipe read

thousands of other recipes before coming up

In other words, artificial intelligence uses

a process of trial and error – repeating

the same task over and over until finding

the most successful way. Only in the case

of the oyster recipe, there was more ‘error’

Well, according to Janelle Shane, we can learn

goes wrong. Here she is, talking about an

AI which had been told to solve maths problems:

It seemed to be that it was getting scored

on how many wrong answers it got, and it was

supposed to be minimising the number of wrong

answers, and just by a stroke of luck as part

of its trial and error flailing around, one

of the flails it did accidentally deleted

the solutions list, and then it and everybody

So, AIs learn by minimising their errors – reducing

these algorithms only discover the right answer

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人工知能のトレーニング6分間の英語 (Training artificial intelligence: 6 Minute English)

imitate

progress

journey

vocabulary