Shadowing-Übung: Beware the Power of Prediction | Carissa Véliz | TED - Englisch Sprechen Lernen mit YouTube

C2
Shadowing-Steuerung
0% abgeschlossen (0/116 Sätze)
Let me tell you about the future.
⏸ Pausiert
Alle Sätze
116 Sätze
1
Let me tell you about the future.
2
Predictions are the boxing ring where fights over the future take place.
3
As the story goes, King Louis XI kept an astrologer in court.
4
One day, the astrologer predicted that a lady of the court would die within a week.
5
When she did, Louis was shaken.
6
Either the astrologer had murdered the woman to prove his accuracy, or he was so prescient that he could threaten Louis himself.
7
The astrologer had to be murdered.
8
(Laughter) The king ordered his servants that upon his signal, they were to throw the astrologer out the window to a certain death.
9
You'd be surprised, by the way, by how many seers in history have met this fate.
10
Some advice to astrologers: keep away from kings and heights.
11
(Laughter) When the astrologer arrived to meet Louis, the King asked him one last question.
12
"Given your prophetic abilities, tell me, how long will you live?" Not missing a beat, the astrologer replied, “I will die three days before Your Majesty.” (Laughter) And Louis never gave the signal.
13
(Laughter) Did the astrologer find his answer in the stars?
14
I don't think so.
15
(Laughter) I think he understood the power of prediction and used it to get himself life insurance.
16
Smart astrologer.
17
Even though we tend to associate prediction with knowledge, I'd like to invite you to consider the possibility that most of the predictions that you encounter in an everyday setting are closer to the realm of power than that of knowledge.
18
It might seem that the days in which we sought astrologers and soothsayers to tell us about the future are very distant, but often we use AI as the new Oracle of Delphi, and tech executives whisper in the ears of our leaders, much like court astrologers used to.
19
Granted, the technology is different, but the political role is not.
20
Predictions are often power plays in disguise.
21
They justify value-laden decisions under the pretense of facts.
22
Better understanding prediction matters more than ever because we're relying on forecasting more than ever with AI.
23
And based on how we talk about prediction, we're being much too naive about it.
24
But AI is science, you might think.
25
It's cutting-edge technology, right?
26
Well, it depends on the kind of AI and how we use it.
27
AI can be a great technology to make predictions about molecules in the search for new antibiotics, but predictions about human beings are fundamentally different than those about things.
28
Predictions about the weather don't influence the weather.
29
Predictions about people influence people.
30
Social predictions tend to act like magnets.
31
They bend reality towards themselves.
32
They affect the reality they purport to predict.
33
An algorithmic prediction about future disease can make someone's insurance premiums go up, leading to worse health outcomes from stress alone.
34
Predictions sound like descriptions of the world, like facts, but they're not.
35
Analyzed closely as assertions, they are what philosophers called “speech acts.” That is, language that does something other than describe the world.
36
When you tell a child to clean up their room, you're not describing the state of the room, you're issuing an order.
37
Similarly, social predictions are veiled commands.
38
They implicitly tell us how to act.
39
For example, when a tech executive says that in the future we will use AI for everything and everywhere, he's trying to get you to act in a way that will fulfill his vision of the future.
40
You know, the one that happens to line his pockets.
41
And when you believe that prediction, as if it were telling you something about the future, when you give in to the fear of missing out, and you go and you buy the AI and you contribute to the self-fulfilling prophecy, what you are actually doing is obeying.
42
Have you noticed how often people who make predictions about technology say that the future they are describing is inevitable?
43
That's a red flag.
44
Those predictions are designed to act as conversation stoppers.
45
They're telling you, "Don't question me.
46
Just accept what I'm saying as a fact." I'd like for this talk to be a conversation starter.
47
I hope it'll persuade you to ask more questions.
48
Predictions invite manipulation.
49
Their power to shape the future creates the temptation to tamper with it and benefit from it.
50
Take prediction markets.
51
The argument for having them is that they can be a source of knowledge.
52
In theory, markets don't lie.
53
If people make bets and they stand to lose if they get it wrong, they'll try to get it right.
54
And by having many people place bets, we can harness the wisdom of the crowds.
55
But that assumes a very naive view of prediction as a quest for knowledge.
56
If you consider prediction as a quest for power, a very different picture emerges.
57
If you have enough money, you can use it to influence public perception by heavily betting on something.
58
Politicians have bet on themselves.
59
In February this year, six anonymous accounts earned 1.2 million dollars betting for the attack on Iran.
60
Some of those wallets were funded hours before.
61
Finally, predictions create and then cover up injustice.
62
Algorithmic predictions are building this Kafkaesque world in which we can no longer contest decisions because they're not based on clearly defined criteria.
63
If I reject your loan application because you don't fulfill a particular requirement, that's a verifiable fact.
64
If I'm wrong, you can challenge me.
65
But if I reject your loan application on the basis of a prediction, there's no way you can contest that.
66
Predictions are never facts.
67
Facts belong to the past.
68
Predictions are unverifiable, unfalsifiable.
69
Since they are about the future, they cannot be challenged for being false, thereby creating the perfect recipe for hidden injustice.
70
Predictions are often unfair because they're not based on who people are, but on who we think they will become.
71
When we predict someone's future as if it was the weather, we're treating them with disrespect.
72
Too much as things, and not enough as agents who have a say in that future, who can and should be allowed to defy their odds.
73
We're facing some pretty grim predictions from some of our most prominent prophets.
74
Larry Ellison, the chairman of our predictive software company, appropriately named Oracle, has predicted a modern surveillance state in which citizens will be on their best behavior because we're being watched all the time.
75
But the illusion of a world without crime is a world filled with a very different kind of crime.
76
Authoritarianism.
77
Is that the world we want?
78
(Applause) What can we do to not sleepwalk into it?
79
Plenty. Prophets gain their power from people believing them.
80
If we decide to defy this prediction instead of obeying it, we will choose products that are more respectful of privacy, for starters.
81
Hannah Arendt wrote that it's pointless to argue with a murderer about whether their future victim is dead or alive.
82
The only appropriate response is to rescue the person whose death is predicted.
83
Well, today's prophets are predicting the death of our democracy, and the only appropriate response is to rescue it.
84
(Applause) In ancient Rome, it was illegal to predict the death of the emperor, for the very simple reason that they ended up with a murdered emperor on cue.
85
I'm not suggesting that we do away with prediction.
86
I'm going to continue to use my weather app every single day.
87
But we need a public debate about the acceptable and unacceptable uses of prediction.
88
And we're currently not having it.
89
Meanwhile, dozens of algorithms are making decisions about your life right now.
90
It might be that in the case of insurance, we might want to make predictions at a population level, but not for individuals because it creates unfair, self-fulfilling prophecies.
91
Plus, if we're being billed according to individualized predictions, that means that we’re basically paying for our own way, and insurance loses its reason for being solidarity and the pooling of risk.
92
It might be that in cases in which fairness matters, we might prefer transparent and contestable criteria to predictive statistical pattern matching.
93
Let me start to bring things together.
94
Even though self-fulfilling prophecies are nothing new, they are being supercharged by AI in ways that make it more urgent than ever to think more deeply about predictions.
95
First, predictions are never facts.
96
They are speech acts.
97
Second, they invite manipulation.
98
Third, they create and cover up injustice.
99
The one idea that I would like for you to take home today is that predictions can be weapons of power.
100
But they only work if we believe them.
101
If Oedipus had laughed off the prophecy that he would kill his father and marry his mother, instead of completely freaking out about it -- (Laughter) He would have never left for Thebes and made the prophecy come true.
102
We turn to prophets because we're anxious about uncertainty, but uncertainty is good news.
103
It means that the future is unwritten, that it's ours to write.
104
And we can face the blank page with creativity, with curiosity, with the excitement of a sense of adventure.
105
Efforts to predict the future go hand-in-hand with efforts to control it.
106
So beware of prophets and prophecies.
107
It's only when we acknowledge that we don't know what the future holds and act accordingly that we can be sure to live in a free society.
108
Don't bow to people's predictions as if they were facts.
109
Be like Joe Frazier.
110
When Muhammad Ali predicted his own victory in the 1971 heavyweight championship, Frazier took it as a provocation and ended up defeating the previously undefeated great Ali in the fight of the century.
111
So next time you hear a gloomy prediction about the social world, don't get discouraged.
112
Find the Joe Frazier within you.
113
Rebel against tyrannical predictions.
114
Let's be brave enough to imagine and fight for a better world.
115
Perhaps then all of us can make the future bright after all.
116
Thank you. (Applause and cheers)

Warum ist es wichtig, mit diesem Video zu sprechen?

Das Videos von Carissa Véliz über die Macht von Vorhersagen bietet eine ideale Gelegenheit, um Ihr Englisch durch Shadow Speak zu verbessern. Der Vortrag ist nicht nur informativ, sondern enthält auch bedeutungsvolle kulturelle und soziale Aspekte, die Sie im Gespräch mitnehmen können. Durch das Sprechen im Rahmen dieses Videos fördern Sie nicht nur Ihre Englische Aussprache, sondern lernen auch, wie Vorhersagen in der modernen Welt eingesetzt werden. Dieses Wissen wird Ihnen helfen, kritischer zu denken und Ihre Meinung zu Ausdruck zu bringen. Die Struktur und der Stil des Vortrags sind unterschiedlich, was Ihnen hilft, die Flexibilität in der Sprache zu entwickeln.

Grammatik & Ausdrücke im Kontext

  • „Let me tell you about the future“ – Diese Einführung zeigt eine typische Struktur für Erzählungen und zieht die Aufmerksamkeit des Publikums an.
  • „Predictions are often power plays in disguise“ – Hier sehen wir eine interessante Verwendung von „are“ in Verbindung mit „power plays“, die das Substantiv als zentralen Punkt der Aussage betont.
  • „Predictions sound like descriptions of the world“ – Dies zeigt die Kontraste, die häufig in der englischen Sprache vorkommen, um zu verdeutlichen, dass Vorhersagen nicht nur beschreibend sind, sondern auch Einfluss haben.
  • „When a tech executive says that in the future we will use AI for everything“ – Der Einsatz von Zukunftsprognosen und der Nullform (will + Verb) ist in diesem Kontext entscheidend, um die Absicht des Sprechers zu verdeutlichen.

Häufige Aussprachefallen

In dem Vortrag von Véliz gibt es einige Wörter und Phrasen, die für Lernende eine Herausforderung darstellen können:

  • „Predictions“ – Achten Sie darauf, das „-tions“ richtig auszusprechen, um die Silbenanzahl und den Rhythmus richtig zu erfassen.
  • „Astrologer“ – Diese drei Silben können beim schnellen Sprechen leicht verwirrt werden. Üben Sie die Trennung: „astro-lo-ger“.
  • „Self-fulfilling prophecy“ – Dies ist eine nützliche, aber komplizierte Phrase. Achten Sie darauf, das „-filling“ deutlich zu betonen.

Durch das Üben dieser Aussprache und die Anwendung der vorgestellten Strukturen können Sie nicht nur Ihre Englische Aussprache verbessern, sondern auch selbstbewusster in Gesprächen auftreten. Die Verwendung von shadow speech und der Fokus auf das Hören des Vortrags können Ihnen dabei helfen, fließender zu werden.

Diese shadowing site wird Ihnen wertvolle Einblicke geben und Ihre kommunikative Kompetenz im Englischen steigern.

Was ist die Shadowing-Technik?

Shadowing ist eine wissenschaftlich fundierte Sprachlerntechnik, die ursprünglich für die professionelle Dolmetscherausbildung entwickelt und durch den Polyglotten Dr. Alexander Arguelles populär gemacht wurde. Die Methode ist einfach aber wirkungsvoll: Du hörst englisches Audio von Muttersprachlern und wiederholst es sofort laut — wie ein Schatten, der dem Sprecher mit nur 1–2 Sekunden Verzögerung folgt. Anders als passives Hören oder Grammatikübungen zwingt Shadowing dein Gehirn und deine Mundmuskulatur, gleichzeitig echte Sprachmuster zu verarbeiten und zu reproduzieren. Studien zeigen, dass es Aussprachegenauigkeit, Intonation, Rhythmus, verbundene Sprache, Hörverständnis und Sprechflüssigkeit signifikant verbessert — was es zu einer der effektivsten Methoden für die IELTS Speaking-Vorbereitung und reale englische Kommunikation macht.

☕ Kauf uns einen Kaffee