Shadowing-Übung: Cambridge 16 IELTS Reading Test 4 Passage 3 - Englisch Sprechen Lernen mit Video
Übungsmodus wählen
Jeder Modus öffnet einen Übungsraum im Vollbild.
54 Sätze
Wenn Sätze zu kurz oder zu lang sind, klicke auf Edit, um sie anzupassen.
1
Attitudes towards artificial intelligence.
2
A artificial intelligence, AI, can already predict the future.
3
Police forces are using it to map when and where crime is likely to occur.
4
Doctors can use it to predict when a patient is most likely to have a heart attack or stroke.
5
Researchers are even trying to give AI imagination so it can plan for unexpected consequences.
6
Many decisions in our lives require a good forecast, and AI is almost always better at forecasting than we are.
7
Yet for all these technological advances, we still seem to deeply lack confidence in AI predictions.
8
Recent cases show that people don't like relying on AI and prefer to trust human experts, even if these experts are wrong.
9
If we want AI to really benefit people, we need to find a way to get people to trust it.
10
To do that, we need to understand why people are so reluctant to trust AI in the first place.
11
They take the case of Watson for Oncology, one of technology giant IBM's supercomputer programs.
12
Their attempt to promote this program to cancer doctors was a PR disaster.
13
The AI promised to deliver top-quality recommendations on the treatment of 12 cancers that accounted for 80% of the world's cases.
14
But when doctors first interacted with Watson, they found themselves in a rather difficult situation.
15
On the one hand, if Watson provided guidance about a treatment that coincided with their own opinions, physicians did not see much point in Watson's recommendations.
16
The supercomputer was simply telling them what they already knew, and these recommendations did not change the actual treatment.
17
On the other hand, if Watson generated a recommendation that contradicted the expert's opinion, doctors would typically conclude that Watson wasn't competent.
18
And the machine wouldn't be able to explain why its treatment was plausible
19
because its machine learning algorithms were simply too complex to be fully understood by humans.
20
Consequently, this has caused even more suspicion and disbelief,
21
leading many doctors to ignore the seemingly outlandish AI recommendations and stick to their own expertise.
22
See this as just one example of people's lack of confidence in AI
23
and their reluctance to accept what Al has to offer.
24
Trust in other people is often based on our understanding of how others think and having experience of their reliability.
25
This helps create a psychological feeling of safety.
26
Al, on the other hand, is still fairly new and unfamiliar to most people.
27
Even if it can be technically explained, and that's not always the case, AI's decision-making process is usually too difficult for most people to comprehend.
28
And interacting with something we don't understand can cause anxiety and give us a sense that we're losing control.
29
Many people are also simply not familiar with many instances of AI actually working because it often happens in the background.
30
Instead, they are acutely aware of instances where AI goes wrong.
31
Embarrassing AI failures receive a disproportionate amount of media attention, emphasizing the message that we cannot rely on technology.
32
Machine learning is not foolproof, in part because the humans who design it aren't.
33
Deep feelings about AI run deep.
34
In a recent experiment, people from a range of backgrounds were given various sci-fi films about AI to watch
35
and then asked questions about automation in everyday life.
36
It was found that, regardless of whether the film they watched depicted Al in a positive or negative light,
37
simply watching a cinematic vision of our technological future polarize the participants' attitudes.
38
Optimists became more extreme in their enthusiasm for AI and skeptics became even more guarded.
39
This suggests people use relevant evidence about AI in a biased manner to support their existing attitudes,
40
a deep-rooted human tendency known as confirmation bias.
41
As L is represented more and more in media and entertainment, it could lead to a society split between those who benefit from AI and those who reject it.
42
More pertinently, refusing to accept the advantages offered by AI could place a large group of people at a serious disadvantage.
43
Unfortunately, we already have some ideas about how to improve trust in AI.
44
Simply having previous experience with AI can significantly improve people's opinions about the technology, as was found in the study mentioned above.
45
Evidence also suggests the more you use other technologies such as the internet, the more you trust them.
46
Another solution may be to reveal more about the algorithms which our users and the purposes they serve.
47
Several high-profile social media companies and online marketplaces already released transparency reports about government requests and surveillance disclosures.
48
A similar practice for AI could help people have a better understanding of the way algorithmic decisions are made.
49
If research suggests that allowing people some control over AI decision-making could also improve trust
50
and enable AI to learn from human experience.
51
For example, one study showed that when people were allowed the freedom to slightly modify an algorithm, they felt more satisfied with its decisions,
52
more likely to believe it was superior and more likely to use it in the future.
53
We don't need to understand the intricate inner workings of AI systems, but if people are given a degree of responsibility for how they are implemented,
54
they will be more willing to accept GAL into their lives.
App herunterladen
Alles, was du zum fließenden Sprechen brauchst
KI-AussprachebewertungJeder Satz bewertet
IPA-TrainingJeden Laut meistern
WortschatzBaue deinen Wortschatz auf
VokabelspielSpielend lernen
📺 Gleicher Kanal
C13
Cambridge IELTS 17 Test 4 Reading passage 1
IELTS PrepUniversity Students
C11
Cambridge Ielts 16 Reading test 2 Passage 2
IELTS PrepTOEFL PrepCambridge Exam Prep
B24
Cambridge Ielts 16 Reading test 1 Passage 2
Cambridge Exam PrepUniversity Students
B22
Cambridge 16 IELTS Reading Test 4 Passage 1
IELTS PrepCambridge Exam PrepUniversity Students
C11
Cambridge Ielts 16 Reading test 2 Passage 1
Cambridge Exam PrepUniversity StudentsWorking Adults
C11
Cambridge Ielts 16 Reading test 3 Passage 3
Cambridge Exam PrepUniversity StudentsWorking Adults
C11
Cambridge Ielts 16 Reading test 1 Passage 1
IELTS PrepCambridge Exam PrepUniversity Students
C13
Cambridge Ielts 16 Reading test 1 Passage 3
IELTS PrepTOEFL PrepBusiness English
C28
Cambridge IELTS 15 Test 4 Reading Passage 2
IELTS PrepUniversity Students
C1Cambridge Ielts 16 Reading test 2 Passage 3
IELTS PrepCambridge Exam PrepUniversity Students
C1Cambridge 16 IELTS Reading Test 4 Passage 2
IELTS PrepTOEFL PrepCambridge Exam Prep
C1Cambridge Ielts 16 Reading test 3 Passage 2
Cambridge Exam PrepUniversity StudentsWorking Adults
B2Cambridge Ielts 16 Reading test 3 Passage 1
Cambridge Exam PrepUniversity Students
✨ Empfohlenes Video
C12
10 Sätze
John Lennox: "The Artificial in AI is real"
IELTS PrepTOEFL PrepUniversity Students
C18
78 Sätze
CONTEMPORARY TOPICS UNIT 7 TECHNOLOGY ARTIFICIAL INTELLIGENCE
IELTS PrepTOEFL PrepUniversity Students
C171
15 Sätze
We Won’t Explore the Galaxy...
IELTS PrepTOEFL PrepUniversity Students
B23
75 Sätze
Pause AI Development NOW
IELTS PrepTOEFL PrepUniversity Students
C110
55 Sätze
Nanotechnology: technology on a small scale | IELTS LISTENING TEST | SECTION-4
IELTS PrepTOEFL PrepUniversity Students
C12
33 Sätze
Geoffrey Hinton, Nobel Prize in Physics 2024: Banquet speech
IELTS PrepTOEFL PrepUniversity Students
C15
224 Sätze
We're Not Ready for Biocomputing
IELTS PrepTOEFL PrepUniversity Students
C1295
13 Sätze
AI Can Literally Lend You a Hand
IELTS PrepTOEFL PrepUniversity Students
C12
240 Sätze
Why This Is the Most Exciting Time to Be Human | Ken Ono, Axiom Math
IELTS PrepTOEFL PrepUniversity Students
B213
41 Sätze
RE2 Unit 11B
IELTS PrepTOEFL PrepBusiness English
C11
242 Sätze
🎧 Luyện Nghe Tiếng Anh Level C1- TRÍ TUỆ NHÂN TẠO - | Listening English Podcast |🎯
IELTS PrepTOEFL PrepUniversity Students
Sprachziele für dieses Video
Dieses Video hilft dir, dein Englisch Shadowing zu verbessern und flüssiger zu sprechen, indem du komplexe Sätze zu künstlicher Intelligenz nachsprichst. Du lernst, langsame Passagen mit Ruhe zu folgen und schwierige Begriffe wie "machine learning algorithms" oder "confirmation bias" klar auszusprechen – ein wichtiger Meilenstein für deine Sprachkenntnisse!
Phrasenbank: Wiederverwendbare Ausdrücke
- "Attitudes towards artificial intelligence" – "Einstellungen gegenüber künstlicher Intelligenz"
- "predict the future" – "die Zukunft vorhersagen"
- "lack confidence in" – "keine Vertrauen in ... haben"
- "contradicted the expert's opinion" – "widersprach der Meinung des Experten"
- "deep-rooted human tendency" – "tief verwurzelte menschliche Tendenz"
Verbessere deine Schwächen: Aussprache und Rhythmus
Das Video eignet sich perfekt, um deine Englische Aussprache zu verbessern – vor allem bei Wörtern mit "th" (z. B. "the", "they") und langen Komposita. Nutze die Technik des Shadowspeak: Spiel eine kurze Passage ab, pausiere und spreche sie sofort nach, so nah wie möglich an Tonhöhe und Tempo. Achte darauf, die Betonung in Wörtern wie "consequence" oder "disproportionate" richtig zu setzen. Mit Übung wirst du merken, dass dein Rhythmus flüssiger wird und du komplexe Sätze ohne Unsicherheit wiedergeben kannst. Probier's aus – du wirst überrascht sein, wie schnell du Fortschritte machst!
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.