Artificial Intelligence - what can and can't it do? 6 Minute English

216,015 views ・ 2017-10-11

BBC Learning English


Please double-click on the English subtitles below to play the video.

00:07
Neil: Welcome to 6 Minute English, where we
0
7160
1820
00:08
bring you an intelligent topic and six related
1
8980
2240
00:11
items of vocabulary. I'm Neil.
2
11230
1809
00:13
Tim: And I'm Tim. And today we're talking
3
13039
3270
00:16
about AI - or Artificial Intelligence.
4
16309
3031
00:19
Neil: Artificial Intelligence is the ability
5
19340
2862
00:22
of machines to copy human intelligent behaviour
6
22202
3058
00:25
- for example, an intelligent machine can
7
25260
2343
00:27
learn from its own mistakes, and make decisions
8
27603
2686
00:30
based on what's happened in the past.
9
30289
1970
00:32
Tim: There's a lot of talk about AI these
10
32259
2322
00:34
days, Neil, but it's still just science fiction,
11
34581
2719
00:37
isn't it?
12
37300
1000
00:38
Neil: That's not true - AI is everywhere.
13
38300
2539
00:40
Machine thinking is in our homes, offices,
14
40839
2601
00:43
schools and hospitals. Computer algorithms
15
43440
2797
00:46
are helping us drive our cars. They're diagnosing
16
46237
3263
00:49
what's wrong with us in hospitals. They're
17
49500
2395
00:51
marking student essays. They're telling us
18
51895
2395
00:54
what to read on our smartphones.
19
54290
1230
00:55
Tim: Well, that really does sound like science
20
55520
2654
00:58
fiction - but it's happening already, you
21
58174
2366
01:00
say, Neil?
22
60540
1000
01:01
Neil: It's definitely happening, Tim. And
23
61540
2123
01:03
an algorithm, by the way, is a set of steps
24
63663
2227
01:05
a computer follows in order to solve a problem.
25
65890
2919
01:08
So can you tell me what was the name of the
26
68809
2670
01:11
computer which famously beat world chess champion
27
71479
4091
01:15
Garry Kasparov using algorithms in 1997? Was
28
75570
3590
01:19
it: a) Hal, b) Alpha 60 or c) Deep Blue?
29
79160
4749
01:23
Tim: I'll say Deep Blue. Although I'm just
30
83909
2800
01:26
guessing.
31
86709
1551
01:28
Neil: Was it an educated guess, Tim?
32
88260
1750
01:30
Tim: I know a bit about chess...
33
90010
1630
01:31
Neil: An educated guess is based on knowledge
34
91640
2501
01:34
and experience and is therefore likely to
35
94141
2279
01:36
be correct. Well, we'll find out later on
36
96420
2385
01:38
how educated your guess was in this case, Tim!
37
98805
2435
01:41
Tim: Indeed. But getting back to AI and what
38
101240
3500
01:44
machines can do - are they any good at solving
39
104740
3340
01:48
real-life problems? Computers think in zeros
40
108090
2865
01:50
and ones don't they? That sounds like a pretty
41
110955
2995
01:53
limited language when it comes to life experience!
42
113950
2440
01:56
Neil: You would be surprised to what those
43
116390
2290
01:58
zeroes and ones can do, Tim. Although you're
44
118680
2399
02:01
right that AI does have its limitations at
45
121079
2467
02:03
the moment. And if something has limitations
46
123546
2584
02:06
there's a limit on what it can do or how good
47
126130
2230
02:08
it can be.
48
128360
980
02:09
Tim: OK - well now might be a good time to
49
129360
2620
02:11
listen to Zoubin Bharhramani, Professor of
50
131988
2811
02:14
Information Engineering at the University
51
134799
2627
02:17
of Cambridge and deputy director of the Leverhulme
52
137426
3203
02:20
Centre for the Future of Intelligence. He's
53
140629
3099
02:23
talking about what limitations AI has at the
54
143728
3172
02:26
moment.
55
146900
2160
02:29
Zoubin Bharhramani: I think it's very interesting
56
149060
1960
02:31
how many of the things that we take for granted
57
151023
2996
02:34
- we humans take for granted - as being sort
58
154019
2155
02:36
of things we don't even think about like how
59
156174
2155
02:38
do we walk, how do we reach, how do we recognise
60
158329
3464
02:41
our mother. You know, all these things. When
61
161793
3176
02:44
you start to think how to implement them on
62
164969
2491
02:47
a computer, you realise that it's those things
63
167460
4240
02:51
that are incredibly difficult to get computers
64
171709
3923
02:55
to do, and that's where the current cutting
65
175632
3667
02:59
edge of research is.
66
179300
2860
03:02
Neil: If we take something for granted we
67
182160
1240
03:03
don't realise how important something is.
68
183410
2310
03:05
Tim: You sometimes take me for granted,
69
185720
2363
03:08
think, Neil.
70
188083
727
03:08
Neil: No - I never take you for granted, Tim!
71
188810
2432
03:11
You're far too important for that!
72
191242
1837
03:13
Tim: Good to hear! So things we take for granted
73
193079
3688
03:16
are doing every day tasks like walking, picking
74
196767
3612
03:20
something up, or recognising somebody. We
75
200379
3218
03:23
implement - or perform - these things without
76
203597
3532
03:27
thinking. Whereas it's cutting edge research
77
207129
2781
03:29
to try and program a machine to do them.
78
209910
2529
03:32
Neil: Cutting edge means very new and advanced.
79
212439
2492
03:34
It's interesting isn't it, that over ten years
80
214931
2439
03:37
ago a computer beat a chess grand master - but
81
217370
2666
03:40
the same computer would find it incredibly
82
220036
2434
03:42
difficult to pick up a chess piece.
83
222470
1949
03:44
Tim: I know. It's very strange. But now you've
84
224419
2550
03:46
reminded me that we need the answer to today's
85
226969
2550
03:49
question.
86
229519
1000
03:50
Neil: Which was: What was the name of the
87
230519
2567
03:53
computer who famously beat world chess champion
88
233086
2943
03:56
Gary Kasparov in 1997? Now, you said Deep
89
236029
2832
03:58
Blue, Tim, and... that was the right answer!
90
238861
3108
04:01
Tim: You see, my educated guess was based
91
241969
2674
04:04
on knowledge and experience!
92
244643
1826
04:06
Neil: Or maybe you were just lucky. So, the
93
246469
3329
04:09
IBM supercomputer Deep Blue played against
94
249798
3251
04:13
US world chess champion Garry Kasparov in
95
253049
2503
04:15
two chess matches. The first match was played
96
255552
2747
04:18
in Philadelphia in 1996 and was won by Kasparov.
97
258299
2993
04:21
The second was played in New York City in
98
261292
2557
04:23
1997 and won by Deep Blue. The 1997 match
99
263849
4391
04:28
was the first defeat of a reigning world chess
100
268240
2220
04:30
champion by a computer under tournament conditions.
101
270460
3500
04:33
Tim: Let's go through the words we learned
102
273960
2776
04:36
today. First up was 'artificial intelligence'
103
276736
2974
04:39
or AI - the ability of machines to copy human
104
279710
3318
04:43
intelligent behaviour.
105
283028
1622
04:44
Neil: 'There are AI programs that
106
284650
2410
04:47
can write poetry.'
107
287060
660
04:47
Tim: Do you have any examples you can recite?
108
287720
2580
04:50
Neil: Afraid I don't! Number two - an algorithm
109
290300
2850
04:53
is a set of steps a computer follows in order
110
293150
2729
04:55
to solve a problem. For example, 'Google changes
111
295879
2953
04:58
its search algorithm hundreds of times every year.'
112
298832
3707
05:02
Tim: The adjective is algorithmic - for example,
113
302539
2964
05:05
'Google has made many algorithmic changes.'
114
305503
2656
05:08
Neil: Number three - if something has 'limitations',
115
308159
3024
05:11
there's a limit on what it can do or how good
116
311183
2617
05:13
it can be. 'Our show has certain limitations
117
313800
2949
05:16
' for example, it's only six minutes long!'
118
316749
2881
05:19
Tim: That's right - there's only time to present
119
319630
2570
05:22
six vocabulary items. Short but sweet!
120
322200
2700
05:24
Neil: And very intelligent, too. OK, the next
121
324900
2787
05:27
item is 'take something for granted', which
122
327687
2664
05:30
is when we don't realise how important something is.
123
330351
2529
05:32
Tim: 'We take our smartphones for granted
124
332880
3046
05:35
these days, but before 1995 hardly anyone
125
335926
2974
05:38
owned one.'
126
338900
1000
05:39
Neil: Number five - 'to implement' means to
127
339900
2493
05:42
perform a task, or take action.
128
342393
1797
05:44
Tim: 'Neil implemented some changes to the show.'
129
344190
2749
05:46
Neil: The final item is 'cutting edge' - new
130
346939
1361
05:48
and advanced - 'This software is cutting edge.'
131
348300
4119
05:52
Tim: 'The software uses cutting edge technology.'
132
352419
2761
05:55
Neil: OK - that's all we have time for on
133
355180
2604
05:57
today's cutting edge show. But please check
134
357784
2665
06:00
out our Instagram, Twitter, Facebook and YouTube
135
360449
3031
06:03
pages. Tim: Bye-bye!
136
363480
840
06:04
Neil: Goodbye!
137
364320
1160
About this website

This site will introduce you to YouTube videos that are useful for learning English. You will see English lessons taught by top-notch teachers from around the world. Double-click on the English subtitles displayed on each video page to play the video from there. The subtitles scroll in sync with the video playback. If you have any comments or requests, please contact us using this contact form.

https://forms.gle/WvT1wiN1qDtmnspy7