Machines still have a
long way to go before they learn like humans do – and that is a potential danger
to privacy safety and more.
By: Aviva Hope Rutkin
Published: BBC, 11
April 2017, http://www.bbc.com/future/story/20170410-how-to-fool-artificial-intelligence
Level of Difficulty: **
BEFORE YOU READ
·
The
Truth Behind Artificial Intelligence | Andrew Zeitler | TEDxStMaryCSSchool
·
Understanding
Artificial Intelligence and Its Future | Neil Nie | TEDxDeerfield
QUESTIONS
1.
Read the example of the self driving car. What
conclusion can be drawn from this example? Where else could this conclusion be
placed in the text?
2.
Look back at the first four paragraphs and match
the vocabulary items with their meanings. There are more choices than you need:
The
vocabulary items: unbeknownst, far-fetched, adversarial, bamboozle
Meanings: unseen, with no
knowledge of, opposing, ignorant, hard to believe, distant, hostile, attack, confuse
3.
AI is not as fool-proof as some may mistakenly
assume due to the fact that…
4.
Read the description of human and AI learning to
the end. Why might a machine confuse a panda with a gibbon or a school bus with
an ostrich?(Two possible answers, find both) The source of the problem is the
fact that…
5.
Now look back at the section you have just read
starting “It’s something that is a growing concern..” and ending “Someone
likely already has”. What subtitle would you give this section:
AI Can’t Think, The Downfall Of AI, The Loop
Hole, Algorithms And The Brain.
6.
Access the following, scroll down and watch the
video: Deep neural networks are
easily fooled http://www.evolvingai.org/fooling.
The basic reason why AI can make what seems to us, as bizarre mistakes is that
AI sees ………………………………..
7.
The example of spam filters and how spammers get
round them is provided to support the contention that…
8.
Look at the paragraphs beginning “What might
this allow…” and the following paragraph. Where would you place the following:
·
There are various ways in which hackers could
cause problems for AI
·
There are various possibilities that come to
mind
9.
Now look back at the three paragraphs concerning
adversarial attacks and the quote from Voyobeychnik. What subtitle would you
give this section; mark the odd one out:
·
The possibilities are endless
·
Think it is safe? Think again
·
They can and they will
·
Tweak and enter
10.
Read the example of the glasses. This example is
provided to show that adversarial attacks could be ……………
11.
Read on until the end of the text starting with “In
the meantime…”. Two ways to improve algorithms would be to adopt a ………………………
policy and make programs …………… so that they can withstand an attack.
12.
What reminder is provided in the last section of
the text concerning the role of AI in our lives?
WRITING TASK
Write an essay in which you discuss to what extent we will
be able to depend on AI in the future.
THE TINY CHANGES THAT
CAN CAUSE AI TO FAIL; KEY AND TEACHERS’ NOTES
AI is agreed to be a
major development to be reckoned with in the future but will they be “the
perfect oracles of truth” or will humans always need to be in the loop? The
text discusses this issue and more by providing irrefutable technical reasons.
It is a very topical issue and should lead to plenty of discussion.
1. Artificial
intelligence can be fooled
2. Unbeknownst:
with no knowledge of
Far-fetched: hard to believe
Adversarial: hostile
Bamboozle: confuse
3.
Algorithms are being used more and more
4.
Because the computer doesn’t pay attention to
high level details / Because a computer doesn’t consider the whole picture ; The
computer looks at the individual pixels of the picture
5.
The Loop Hole
6.
Psychedelic images of abstract patterns and
colors (that look like nothing much to humans)
7.
Vulnerabilities exist and someone will figure
out how to exploit them.
8.
At the beginning of the second paragraph, After
the first sentence in the second paragraph
9.
The last one
10.
Positive
11.
A “the
tougher, the better” policy / more resilient
12.
Machine learning systems are a tool to do
reasoning
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