IELTS Reading: Tác Động của Trí Tuệ Nhân Tạo đến Ngành Công Nghiệp Sáng Tạo – Đề Thi Mẫu Có Đáp Án

Giới thiệu

Chủ đề về tác động của trí tuệ nhân tạo (AI) đến các ngành công nghiệp sáng tạo đang ngày càng trở nên phổ biến trong các kỳ thi IELTS Reading gần đây. Đây là một chủ đề thời sự, phản ánh sự thay đổi nhanh chóng của công nghệ trong lĩnh vực nghệ thuật, thiết kế, âm nhạc và các ngành sáng tạo khác. Theo thống kê từ Cambridge IELTS và British Council, các đề thi về công nghệ và đổi mới sáng tạo chiếm khoảng 15-20% tổng số bài đọc xuất hiện trong kỳ thi.

Bài viết này cung cấp một bộ đề thi IELTS Reading hoàn chỉnh với 3 passages có độ khó tăng dần từ Easy đến Hard, giúp bạn làm quen với các dạng câu hỏi đa dạng như Multiple Choice, True/False/Not Given, Matching Headings, và Summary Completion. Mỗi passage đều được thiết kế dựa trên cấu trúc của các đề thi Cambridge IELTS thực tế, đảm bảo tính xác thực cao nhất. Bạn sẽ nhận được đáp án chi tiết kèm giải thích cụ thể về vị trí thông tin, kỹ thuật paraphrase, và chiến lược làm bài hiệu quả.

Đề thi này phù hợp cho học viên có trình độ từ band 5.0 trở lên, đặc biệt hữu ích cho những ai đang nhắm đến band điểm 6.5-8.0 và muốn nâng cao kỹ năng đọc hiểu về các chủ đề công nghệ và xã hội hiện đại.

1. Hướng Dẫn Làm Bài IELTS Reading

Tổng Quan Về IELTS Reading Test

IELTS Reading Test kéo dài 60 phút với 3 passages và tổng cộng 40 câu hỏi. Mỗi câu trả lời đúng được tính là 1 điểm, không có điểm âm cho câu trả lời sai. Độ khó của các passages tăng dần, với Passage 1 thường dễ nhất và Passage 3 khó nhất.

Phân bổ thời gian khuyến nghị:

• Passage 1 (Easy): 15-17 phút
• Passage 2 (Medium): 18-20 phút
• Passage 3 (Hard): 23-25 phút

Lưu ý quan trọng là bạn cần tự quản lý thời gian – không có thông báo khi chuyển passage. Nên dành 2-3 phút cuối để chuyển đáp án vào answer sheet cẩn thận.

Các Dạng Câu Hỏi Trong Đề Này

Đề thi mẫu này bao gồm 7 dạng câu hỏi phổ biến nhất trong IELTS Reading:

1. Multiple Choice – Chọn đáp án đúng từ A, B, C, D
2. True/False/Not Given – Xác định thông tin đúng, sai hay không được đề cập
3. Matching Information – Nối thông tin với đoạn văn tương ứng
4. Matching Headings – Chọn tiêu đề phù hợp cho các đoạn văn
5. Summary Completion – Điền từ vào chỗ trống trong đoạn tóm tắt
6. Sentence Completion – Hoàn thành câu với thông tin từ bài đọc
7. Short-answer Questions – Trả lời câu hỏi ngắn với số từ giới hạn

2. IELTS Reading Practice Test

PASSAGE 1 – AI’s Early Steps into Creative Fields

Độ khó: Easy (Band 5.0-6.5)

Thời gian đề xuất: 15-17 phút

The integration of artificial intelligence into creative industries has sparked both excitement and concern among artists, designers, and content creators. Over the past decade, AI technologies have moved from experimental laboratories into practical applications that are now reshaping how creative work is produced, distributed, and consumed. This transformation is not happening overnight, but rather through a gradual evolution that is making creative tools more accessible while simultaneously raising questions about the nature of creativity itself.

One of the most visible impacts of AI in creative fields has been in graphic design and visual arts. Machine learning algorithms can now generate logos, color schemes, and even complete design layouts based on simple text descriptions or user preferences. Companies like Adobe have integrated AI-powered features into their flagship software, allowing designers to remove backgrounds, enhance images, or suggest design elements automatically. These tools don’t replace human designers but rather act as intelligent assistants that handle time-consuming tasks, freeing professionals to focus on strategic thinking and creative vision.

The music industry has also witnessed significant AI integration. Algorithms can now compose background music for videos, advertisements, and games. Some platforms use AI to analyze thousands of songs and generate new compositions in specific styles or moods. While these AI-generated tracks may lack the emotional depth of human-composed music, they serve practical purposes in contexts where custom music would be too expensive or time-consuming to produce. Independent musicians are using AI tools to experiment with arrangements, suggest chord progressions, or even create entire backing tracks for their original melodies.

In the film and video production sector, AI technologies are transforming post-production workflows. Automated editing software can now analyze footage and create rough cuts based on predefined criteria such as detecting faces, identifying the best shots, or matching cuts to music beats. Color grading, once a highly specialized skill requiring years of training, can now be partially automated with AI systems that analyze scenes and suggest appropriate color corrections. Visual effects companies use AI to speed up labor-intensive processes like rotoscoping – the frame-by-frame tracing of objects in video footage.

Perhaps surprisingly, AI has even entered the world of writing and content creation. Natural language processing systems can generate news articles, product descriptions, and social media posts. While these AI-written texts often require human editing to achieve natural flow and contextual accuracy, they provide a useful starting point that significantly reduces production time. Content marketing agencies use AI tools to generate multiple variations of ad copy, test different approaches, and optimize messaging based on performance data.

However, the adoption of AI in creative industries is not without challenges. Many creative professionals worry that AI tools might devalue their skills or reduce employment opportunities. There are also concerns about intellectual property rights when AI systems are trained on existing creative works. Who owns an image generated by AI? Is AI-generated content truly original if it’s based on patterns learned from millions of human-created works? These questions remain largely unanswered as legal frameworks struggle to keep pace with technological advancement.

Despite these concerns, most industry experts believe that AI will augment rather than replace human creativity. The technology excels at handling repetitive tasks, analyzing data, and generating variations, but it currently lacks the cultural understanding, emotional intelligence, and intentional meaning-making that define truly impactful creative work. The most successful creative professionals are those who learn to use AI as a tool to enhance their capabilities rather than viewing it as a threat to their livelihoods.

Questions 1-6: Multiple Choice

Choose the correct letter, A, B, C, or D.

1. According to the passage, AI’s integration into creative industries is:
   A. happening extremely rapidly
   B. occurring gradually over time
   C. complete in most sectors
   D. limited to graphic design only

2. AI tools in graphic design are described as:
   A. complete replacements for human designers
   B. too expensive for most companies
   C. intelligent assistants for professionals
   D. only useful for beginners

3. The passage suggests that AI-generated music:
   A. is superior to human-composed music
   B. is primarily used for expensive productions
   C. lacks the emotional quality of human music
   D. has replaced all background music composers

4. In film production, AI is particularly useful for:
   A. writing original screenplays
   B. directing actors on set
   C. speeding up post-production tasks
   D. financing independent films

5. AI-written content typically requires:
   A. no human involvement at all
   B. human editing for natural flow
   C. years of training to use effectively
   D. complete rewriting by professionals

6. The passage indicates that most experts believe AI will:
   A. completely replace creative professionals
   B. have no significant impact on creative work
   C. enhance human creativity rather than replace it
   D. only be useful in technical fields

Questions 7-10: True/False/Not Given

Do the following statements agree with the information given in the passage?

Write:

• TRUE if the statement agrees with the information
• FALSE if the statement contradicts the information
• NOT GIVEN if there is no information on this

7. Adobe has completely removed human designers from its product development team.

8. AI can compose music in different styles and moods.

9. Color grading with AI produces better results than traditional manual methods.

10. Legal frameworks have successfully addressed all intellectual property concerns regarding AI-generated content.

Questions 11-13: Sentence Completion

Complete the sentences below. Choose NO MORE THAN TWO WORDS from the passage for each answer.

11. AI technologies assist designers with tasks that are __, allowing them to concentrate on creative vision.

12. Visual effects companies use AI to accelerate processes such as __, which involves tracing objects frame by frame.

13. Successful creative professionals view AI as a tool to __ their capabilities rather than as a threat.

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PASSAGE 2 – The Democratization and Disruption of Creative Work

Độ khó: Medium (Band 6.0-7.5)

Thời gian đề xuất: 18-20 phút

The proliferation of AI-powered creative tools has initiated a profound transformation in who can participate in creative industries and how creative work is valued. This democratization effect has lowered barriers to entry for aspiring creators while simultaneously creating new competitive pressures for established professionals. Understanding this dual dynamic is essential for anyone seeking to navigate the evolving landscape of creative work in the age of artificial intelligence.

A) The Accessibility Revolution

Traditionally, creative professions required years of training and expensive equipment. A professional photographer needed high-end cameras, studio lighting, and extensive knowledge of technical parameters like aperture, shutter speed, and ISO sensitivity. Similarly, graphic designers invested thousands of hours mastering complex software interfaces and design principles. AI has dramatically reduced these requirements. Modern smartphone cameras use computational photography – AI algorithms that combine multiple exposures, enhance details, and optimize colors automatically. Applications like Canva employ AI to suggest layouts and design elements, enabling individuals with no formal training to create professional-looking materials. This accessibility has unleashed a wave of creativity from people who might never have entered these fields under traditional circumstances.

B) Quality vs. Quantity Debate

However, this democratization has sparked contentious debates about quality standards. Professional photographers argue that while AI can optimize technical aspects of image capture, it cannot replicate the compositional judgment, storytelling ability, and aesthetic vision developed through years of practice. A similar critique emerges from graphic design circles, where professionals observe that template-based designs generated by AI tools often lack the conceptual depth and cultural resonance of work created through deliberate creative processes. The abundance of content enabled by AI tools has created what some critics call “creative inflation” – a marketplace flooded with adequate but unremarkable work that makes truly exceptional creative output harder to identify and properly value, similar to concerns raised about how technology influences the arts.

C) Economic Disruption

The economic implications of AI in creative industries extend beyond simple job displacement concerns. Entire business models are being reconfigured. Stock photography agencies, once lucrative businesses that compensated thousands of photographers, now face competition from AI systems that can generate unlimited royalty-free images on demand. A company needing a picture of a sunset over mountains no longer needs to purchase licenses from photographers – AI can create such images instantly. This shift has devastating implications for mid-tier creative professionals who previously earned steady income from stock contributions. Conversely, it has created opportunities for prompt engineers – specialists who excel at crafting text descriptions that produce desired results from AI image generators, a role that combines technical and creative skills.

D) The Premium on Authenticity

Paradoxically, as AI-generated content becomes ubiquitous, there appears to be growing market demand for verifiably human-created work. Some artists have begun explicitly marketing their pieces as “100% human-made” or “AI-free,” positioning this as a premium feature. This trend mirrors developments in other industries where automation drove increased appreciation for artisanal production – consider how factory-made furniture created a market for handcrafted pieces, or how industrial food production sparked interest in farm-to-table dining. Several online platforms now offer certification services that verify creative work was produced without AI assistance, suggesting that human authorship itself may become a distinct value proposition in increasingly AI-saturated markets.

E) Collaborative Creativity

Perhaps the most intriguing development is the emergence of hybrid creative practices that deliberately combine human and AI capabilities. Rather than viewing the relationship as competitive, forward-thinking creatives are exploring collaborative models. Architects use AI to generate hundreds of building design variations based on specific constraints, then apply human judgment to select and refine the most promising options. Fashion designers employ AI to predict trend patterns and generate initial sketches, which they then develop into final collections with human creative direction. Film directors experiment with AI-generated preliminary storyboards that help visualize scenes before committing to expensive production. These practices suggest that the future may not involve AI replacing human creativity but rather establishing new workflows where both contribute their distinctive strengths.

F) Skills Evolution

This transformation necessitates significant evolution in creative education and professional development. Tomorrow’s creative professionals will need hybrid skill sets that combine traditional artistic sensibilities with technological literacy. Design schools are already integrating AI tools into curricula while emphasizing skills that remain distinctively human – conceptual thinking, cultural interpretation, ethical judgment, and the ability to imbue work with meaningful narrative and emotional resonance. The most competitive creative professionals will be those who master both traditional craft and emerging technologies, understanding when to employ each and how to synthesize them effectively.

The trajectory of these developments remains uncertain, but the fundamental restructuring of creative industries appears irreversible. As AI capabilities continue advancing, creative professionals face an imperative to adapt – not by abandoning their craft traditions, but by thoughtfully integrating new tools while reinforcing the irreplaceable elements of human creativity that technology cannot replicate.

Questions 14-19: Matching Headings

Choose the correct heading for sections A-F from the list of headings below.

List of Headings:
i. The future of creative education and training
ii. How AI has made creative tools more accessible
iii. Economic changes affecting creative professionals
iv. The growing value of human-made creative work
v. Concerns about the quality of AI-assisted content
vi. New models combining human and AI creativity
vii. The complete replacement of traditional artists
viii. Government regulations on AI in creative fields
ix. Technical requirements for AI systems

14. Section A
15. Section B
16. Section C
17. Section D
18. Section E
19. Section F

Questions 20-23: Yes/No/Not Given

Do the following statements agree with the views of the writer in the passage?

Write:

• YES if the statement agrees with the views of the writer
• NO if the statement contradicts the views of the writer
• NOT GIVEN if it is impossible to say what the writer thinks about this

20. AI tools have made it possible for untrained individuals to create professional-quality creative work.

21. Stock photography agencies have successfully adapted their business models to compete with AI-generated images.

22. The demand for verifiably human-created work demonstrates a contradiction in market responses to AI.

23. All creative professionals should abandon traditional methods in favor of AI tools.

Questions 24-26: Summary Completion

Complete the summary below. Choose NO MORE THAN TWO WORDS from the passage for each answer.

The integration of AI into creative industries has created a (24) __ effect, allowing more people to participate in creative work. However, this has led to debates about quality, with some professionals arguing that AI-generated content lacks (25) __ and cultural resonance. At the same time, there is growing demand for work that is (26) __ created, suggesting that human authorship may become a valuable distinction in the marketplace.

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PASSAGE 3 – Philosophical and Cultural Dimensions of AI Creativity

Độ khó: Hard (Band 7.0-9.0)

Thời gian đề xuất: 23-25 phút

The ascendance of artificial intelligence in creative domains compels us to reconsider fundamental assumptions about the nature of creativity, authorship, and the ontological status of art itself. These questions transcend mere practical concerns about employment or business models, touching upon deeply philosophical issues that have preoccupied aestheticians and cultural theorists for centuries. As AI systems produce works that are increasingly indistinguishable from human-created art, we must grapple with whether creativity is an inherently human attribute or whether it might be more accurately characterized as a computational process that can be replicated mechanistically.

The traditional Romantic conception of artistic creation posits the artist as a unique individual whose work emerges from ineffable personal experience, emotional depth, and subjective vision. This framework, which has dominated Western aesthetics since the 18th century, treats art as the externalization of the artist’s inner life – a fundamentally human endeavor that expresses qualities machines presumably cannot possess: consciousness, intentionality, and authentic emotion. From this perspective, AI-generated works, regardless of their surface characteristics, cannot qualify as genuine art because they lack the crucial element of human experience and intention. They are, at best, sophisticated mimicry – technically proficient simulations that reproduce the formal properties of art without engaging its essential nature.

However, this anthropocentric view faces substantial challenges from both technological developments and alternative theoretical frameworks. Contemporary cognitive science increasingly characterizes human creativity not as a mystical process but as pattern recognition, recombination of existing concepts, and statistical inference – operations that AI systems can perform with remarkable sophistication. When an artist creates, they draw upon accumulated cultural knowledge, learned techniques, and internalized aesthetic patterns, then recombine these elements in novel configurations. AI systems, trained on vast corpora of existing works, engage in functionally analogous processes. They identify patterns, learn stylistic conventions, and generate new works by interpolating between and extrapolating from their training data. If creativity is understood as innovative recombination rather than ex nihilo generation, the distinction between human and artificial creativity becomes considerably more ambiguous, just as technology’s role in enhancing productivity has blurred traditional boundaries between human and machine capabilities.

This debate intersects with longstanding questions in philosophy of art regarding the locus of meaning in creative works. Intentionalist theories argue that a work’s meaning derives fundamentally from the creator’s intentions, while formalist approaches locate meaning in the work’s intrinsic properties regardless of authorial intent. Reader-response theories complicate matters further by positioning the interpreter as the primary site of meaning-making. If we accept that meaning resides primarily in the work itself or in its reception rather than in authorial intention, the question of whether that work was created by human or artificial intelligence becomes substantially less relevant. A hauntingly beautiful musical composition moves listeners regardless of its origins; a thought-provoking image generates intellectual engagement whether produced by human hand or algorithmic process.

Furthermore, the concept of individual authorship that underpins much anxiety about AI creativity is itself a relatively recent historical construction. Medieval artists often worked anonymously within guild systems that emphasized collective craft traditions over individual expression. Renaissance workshop practices involved extensive collaboration where master artists’ names attached to works executed largely by apprentices. The Romantic elevation of the solitary genius represents a specific cultural moment rather than a universal truth about creative production. AI collaboration might represent not a radical departure from human creativity but rather a return to more collective models that dominated most of human history, similar to how cultural influences shape technology adoption differently across societies.

The challenge AI poses to creative industries also manifests culturally in terms of how societies derive identity and meaning from creative work. Cultures have historically used art to transmit values, construct narratives, and forge collective identity. When AI systems generate content that mimics cultural artifacts without genuine embeddedness in the cultural contexts that give those forms meaning, there is legitimate concern about cultural dilution or appropriation. An AI trained on Indigenous Australian dot paintings might produce visually similar works that nonetheless lack the spiritual significance and specific cultural knowledge encoded in authentic examples. This raises questions about whether AI creativity risks becoming a form of cultural extraction that reproduces surface aesthetics while severing connection to deeper meanings and traditions.

Yet proponents of AI creativity argue that these concerns reflect transitional anxiety rather than fundamental incompatibility. They suggest that as AI systems become more sophisticated and as societies develop new conventions for AI-assisted creation, we will establish appropriate frameworks for understanding and valuing these works. Just as photography was initially dismissed as mere mechanical reproduction rather than legitimate art before eventually being accepted as an artistic medium in its own right, AI-generated works may undergo similar legitimation processes. The key may lie not in categorically rejecting AI creativity but in developing nuanced typologies that distinguish among different modes and degrees of AI involvement while recognizing the varied contexts in which AI-created works function.

Sự giao thoa giữa trí tuệ nhân tạo và nghệ thuật sáng tạo trong kỷ nguyên số

The resolution of these debates will profoundly shape not only creative industries but broader questions about human identity in an increasingly automated world. If creativity – long considered one of the most distinctively human capacities – can be mechanized, what does this imply about human uniqueness and value? Some theorists argue this should prompt humility about human exceptionalism and greater appreciation for creativity as an emergent property that can manifest in multiple substrates. Others maintain that genuine creativity requires phenomenological consciousness – subjective experience – that current AI systems demonstrably lack, regardless of their output quality. This debate extends beyond creative industries to fundamental questions in philosophy of mind, consciousness studies, and the nature of intelligence itself.

Ultimately, the Impact Of Artificial Intelligence On Creative Industries may be less about technological capabilities and more about how we collectively choose to conceptualize creativity, value creative work, and define our relationship with increasingly capable machines. These choices will be made not through abstract philosophical debate alone but through concrete decisions by artists, audiences, institutions, and policymakers as they navigate this transformative moment. The questions raised by AI creativity are not merely about what machines can do, but about who we are and who we wish to become as we reshape the boundaries between human and artificial creative expression.

Questions 27-31: Multiple Choice

Choose the correct letter, A, B, C, or D.

27. According to the passage, the Romantic conception of art views creativity as:
    A. a computational process
    B. emerging from personal human experience
    C. a collective cultural activity
    D. primarily a technical skill

28. The passage suggests that contemporary cognitive science characterizes creativity as:
    A. a mystical and unexplainable phenomenon
    B. unique to human consciousness
    C. pattern recognition and recombination
    D. impossible to analyze scientifically

29. According to reader-response theories mentioned in the passage:
    A. authorial intention is the primary source of meaning
    B. meaning resides in the interpreter
    C. only human-created works can have meaning
    D. formal properties determine all meaning

30. The passage indicates that medieval artistic production:
    A. emphasized individual genius
    B. rejected collaborative approaches
    C. operated through anonymous guild systems
    D. was superior to modern practices

31. The passage compares AI creativity to photography in order to suggest:
    A. both are inferior to traditional art forms
    B. AI will never be accepted as legitimate art
    C. mechanical reproduction cannot create meaning
    D. new technologies can eventually gain artistic legitimacy

Questions 32-36: Matching Features

Match each concern or perspective (Questions 32-36) with the correct viewpoint (A-G).

Viewpoints:
A. Intentionalist theories
B. Formalist approaches
C. Medieval artistic practices
D. Romantic aesthetics
E. Contemporary cognitive science
F. Concerns about cultural appropriation
G. Proponents of AI creativity

32. Creativity involves pattern recognition and statistical processes
33. Meaning derives primarily from the creator’s intentions
34. AI may reproduce cultural aesthetics without understanding deeper significance
35. Artistic work emphasized collective traditions over individual expression
36. New conventions will develop to appropriately value AI-generated works

Questions 37-40: Short-answer Questions

Answer the questions below. Choose NO MORE THAN THREE WORDS from the passage for each answer.

37. What type of conception has dominated Western aesthetics since the 18th century?

38. What do AI systems identify and learn from vast collections of existing works?

39. What property do some theorists argue creativity is, which can appear in multiple forms?

40. Through what means will decisions about AI creativity be made, beyond philosophical debate?

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3. Answer Keys – Đáp Án

PASSAGE 1: Questions 1-13

1. B
2. C
3. C
4. C
5. B
6. C
7. NOT GIVEN
8. TRUE
9. NOT GIVEN
10. FALSE
11. time-consuming
12. rotoscoping
13. enhance

PASSAGE 2: Questions 14-26

14. ii
15. v
16. iii
17. iv
18. vi
19. i
20. YES
21. NOT GIVEN
22. YES
23. NO
24. democratization
25. conceptual depth
26. verifiably human

PASSAGE 3: Questions 27-40

27. B
28. C
29. B
30. C
31. D
32. E
33. A
34. F
35. C
36. G
37. Romantic conception
38. stylistic conventions
39. emergent property
40. concrete decisions

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4. Giải Thích Đáp Án Chi Tiết

Passage 1 – Giải Thích

Câu 1: B (occurring gradually over time)

• Dạng câu hỏi: Multiple Choice
• Từ khóa: AI’s integration, creative industries, happening
• Vị trí trong bài: Đoạn 1, dòng 3-5
• Giải thích: Bài đọc nói rõ “This transformation is not happening overnight, but rather through a gradual evolution.” Từ “gradual evolution” được paraphrase thành “occurring gradually over time” trong đáp án B. Đáp án A sai vì văn bản nói không phải “overnight” (nhanh chóng). Đáp án C và D sai vì không được đề cập.

Câu 2: C (intelligent assistants for professionals)

• Dạng câu hỏi: Multiple Choice
• Từ khóa: AI tools, graphic design
• Vị trí trong bài: Đoạn 2, dòng 5-7
• Giải thích: Câu văn “These tools don’t replace human designers but rather act as intelligent assistants” trực tiếp hỗ trợ đáp án C. Đáp án A sai vì văn bản nói rõ không thay thế (“don’t replace”). Đáp án B và D không được đề cập.

Câu 3: C (lacks the emotional quality of human music)

• Dạng câu hỏi: Multiple Choice
• Từ khóa: AI-generated music
• Vị trí trong bài: Đoạn 3, dòng 4-5
• Giải thích: Văn bản nói “While these AI-generated tracks may lack the emotional depth of human-composed music”, với “emotional depth” được paraphrase thành “emotional quality” trong đáp án.

Câu 7: NOT GIVEN

• Dạng câu hỏi: True/False/Not Given
• Từ khóa: Adobe, removed human designers
• Giải thích: Bài đọc chỉ đề cập Adobe tích hợp AI vào phần mềm, không có thông tin về việc loại bỏ nhân viên thiết kế.

Câu 8: TRUE

• Dạng câu hỏi: True/False/Not Given
• Từ khóa: AI, compose music, different styles
• Vị trí trong bài: Đoạn 3, dòng 2-3
• Giải thích: “Algorithms can now compose background music” và “generate new compositions in specific styles or moods” khớp với câu phát biểu.

Câu 10: FALSE

• Dạng câu hỏi: True/False/Not Given
• Từ khóa: Legal frameworks, intellectual property
• Vị trí trong bài: Đoạn 6, dòng cuối
• Giải thích: Bài nói “These questions remain largely unanswered as legal frameworks struggle to keep pace”, nghĩa là chưa giải quyết được, mâu thuẫn với câu phát biểu.

Câu 11: time-consuming

• Dạng câu hỏi: Sentence Completion
• Từ khóa: tasks, concentrate on creative vision
• Vị trí trong bài: Đoạn 2, dòng 6-7
• Giải thích: “handle time-consuming tasks, freeing professionals to focus on strategic thinking and creative vision”

Câu 12: rotoscoping

• Dạng câu hỏi: Sentence Completion
• Từ khóa: visual effects, processes, tracing objects frame by frame
• Vị trí trong bài: Đoạn 4, dòng cuối
• Giải thích: Văn bản định nghĩa rõ “rotoscoping – the frame-by-frame tracing of objects”

Passage 2 – Giải Thích

Câu 14: ii (How AI has made creative tools more accessible)

• Dạng câu hỏi: Matching Headings
• Vị trí: Section A
• Giải thích: Toàn bộ đoạn A nói về “The Accessibility Revolution” và cách AI đã giảm rào cản (“lowered barriers to entry”), làm cho các công cụ sáng tạo dễ tiếp cận hơn với những người không được đào tạo chuyên nghiệp.

Câu 15: v (Concerns about the quality of AI-assisted content)

• Dạng câu hỏi: Matching Headings
• Vị trí: Section B
• Giải thích: Đoạn B có tiêu đề “Quality vs. Quantity Debate” và thảo luận về những lo ngại rằng nội dung do AI tạo ra thiếu “conceptual depth” và “cultural resonance”.

Câu 16: iii (Economic changes affecting creative professionals)

• Dạng câu hỏi: Matching Headings
• Vị trí: Section C
• Giải thích: Đoạn C có tiêu đề “Economic Disruption” và nói về tác động kinh tế, bao gồm “business models being reconfigured” và “devastating implications for mid-tier creative professionals”.

Câu 20: YES

• Dạng câu hỏi: Yes/No/Not Given
• Vị trí: Section A
• Giải thích: Section A nói rõ rằng AI tools “enabling individuals with no formal training to create professional-looking materials”, khớp với quan điểm của tác giả.

Câu 22: YES

• Dạng câu hỏi: Yes/No/Not Given
• Vị trí: Section D
• Giải thích: Đoạn văn bắt đầu bằng “Paradoxically”, chỉ ra sự nghịch lý/mâu thuẫn trong phản ứng thị trường khi AI phổ biến nhưng lại tăng nhu cầu về tác phẩm của con người, tương tự như sự tác động của automation đến ngành dịch vụ.

Câu 24: democratization

• Dạng câu hỏi: Summary Completion
• Từ khóa: effect, more people participate
• Vị trí: Đoạn mở đầu, dòng 2
• Giải thích: “This democratization effect has lowered barriers to entry”

Câu 25: conceptual depth

• Dạng câu hỏi: Summary Completion
• Từ khóa: lacks, cultural resonance
• Vị trí: Section B
• Giải thích: “template-based designs generated by AI tools often lack the conceptual depth and cultural resonance”

Passage 3 – Giải Thích

Câu 27: B (emerging from personal human experience)

• Dạng câu hỏi: Multiple Choice
• Từ khóa: Romantic conception, creativity
• Vị trí: Đoạn 2, dòng 1-3
• Giải thích: “The traditional Romantic conception of artistic creation posits the artist as a unique individual whose work emerges from ineffable personal experience, emotional depth, and subjective vision.”

Câu 28: C (pattern recognition and recombination)

• Dạng câu hỏi: Multiple Choice
• Từ khóa: contemporary cognitive science, characterizes creativity
• Vị trí: Đoạn 3, dòng 3-5
• Giải thích: “Contemporary cognitive science increasingly characterizes human creativity not as a mystical process but as pattern recognition, recombination of existing concepts, and statistical inference”

Câu 32: E (Contemporary cognitive science)

• Dạng câu hỏi: Matching Features
• Giải thích: Đoạn 3 nói rõ “Contemporary cognitive science increasingly characterizes human creativity… as pattern recognition”

Câu 33: A (Intentionalist theories)

• Dạng câu hỏi: Matching Features
• Vị trí: Đoạn 4
• Giải thích: “Intentionalist theories argue that a work’s meaning derives fundamentally from the creator’s intentions”

Câu 37: Romantic conception

• Dạng câu hỏi: Short-answer Questions
• Từ khóa: dominated Western aesthetics, 18th century
• Vị trí: Đoạn 2, dòng 4
• Giải thích: “This framework, which has dominated Western aesthetics since the 18th century” – “This framework” ám chỉ “traditional Romantic conception” được đề cập trước đó.

Câu 38: stylistic conventions

• Dạng câu hỏi: Short-answer Questions
• Từ khóa: AI systems, identify and learn, vast collections
• Vị trí: Đoạn 3, giữa đoạn
• Giải thích: “They identify patterns, learn stylistic conventions, and generate new works”

Câu 40: concrete decisions

• Dạng câu hỏi: Short-answer Questions
• Từ khóa: decisions, made, beyond philosophical debate
• Vị trí: Đoạn cuối, câu gần cuối
• Giải thích: “These choices will be made not through abstract philosophical debate alone but through concrete decisions by artists, audiences, institutions, and policymakers”

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5. Từ Vựng Quan Trọng Theo Passage

Passage 1 – Essential Vocabulary

Từ vựng	Loại từ	Phiên âm	Nghĩa tiếng Việt	Ví dụ từ bài	Collocation
integration	n	/ˌɪntɪˈɡreɪʃn/	sự tích hợp, hợp nhất	The integration of artificial intelligence into creative industries	system integration, full integration
experimental	adj	/ɪkˌsperɪˈmentl/	thuộc về thí nghiệm	from experimental laboratories into practical applications	experimental stage, experimental design
algorithm	n	/ˈælɡərɪðəm/	thuật toán	Machine learning algorithms can now generate logos	complex algorithm, AI algorithm
flagship	adj	/ˈflæɡʃɪp/	hàng đầu, chủ lực	integrated into their flagship software	flagship product, flagship store
intelligent	adj	/ɪnˈtelɪdʒənt/	thông minh	act as intelligent assistants	intelligent system, intelligent design
composition	n	/ˌkɒmpəˈzɪʃn/	tác phẩm sáng tác (nhạc)	generate new compositions in specific styles	musical composition, original composition
post-production	n	/pəʊst prəˈdʌkʃn/	hậu kỳ (sản xuất phim)	transforming post-production workflows	post-production process, post-production editing
automated	adj	/ˈɔːtəmeɪtɪd/	tự động hóa	Automated editing software can analyze footage	automated system, fully automated
rotoscoping	n	/ˈrəʊtəskəʊpɪŋ/	kỹ thuật vẽ từng khung hình	the frame-by-frame tracing of objects	digital rotoscoping, rotoscoping technique
intellectual property	n	/ˌɪntəˌlektʃuəl ˈprɒpəti/	quyền sở hữu trí tuệ	concerns about intellectual property rights	intellectual property law, protect intellectual property
augment	v	/ɔːɡˈment/	tăng cường, bổ sung	AI will augment rather than replace human creativity	augment capabilities, augment performance
intentional	adj	/ɪnˈtenʃənl/	có chủ đích, cố ý	intentional meaning-making that define creative work	intentional action, intentional design

Passage 2 – Essential Vocabulary

Từ vựng	Loại từ	Phiên âm	Nghĩa tiếng Việt	Ví dụ từ bài	Collocation
proliferation	n	/prəˌlɪfəˈreɪʃn/	sự gia tăng nhanh chóng	The proliferation of AI-powered creative tools	nuclear proliferation, rapid proliferation
democratization	n	/dɪˌmɒkrətaɪˈzeɪʃn/	sự dân chủ hóa	This democratization effect has lowered barriers	democratization of technology, democratization process
computational	adj	/ˌkɒmpjuˈteɪʃənl/	thuộc về tính toán	use computational photography	computational power, computational method
contentious	adj	/kənˈtenʃəs/	gây tranh cãi	sparked contentious debates about quality	contentious issue, contentious debate
compositional	adj	/ˌkɒmpəˈzɪʃənl/	thuộc về bố cục	the compositional judgment developed through practice	compositional skills, compositional technique
aesthetic	adj/n	/iːsˈθetɪk/	thẩm mỹ	aesthetic vision developed through years	aesthetic appeal, aesthetic quality
royalty-free	adj	/ˈrɔɪəlti friː/	không phải trả bản quyền	generate unlimited royalty-free images	royalty-free music, royalty-free stock
compensate	v	/ˈkɒmpenseɪt/	bồi thường, đền bù	agencies that compensated thousands of photographers	compensate for losses, fairly compensate
devastating	adj	/ˈdevəsteɪtɪŋ/	tàn phá, có tác động nghiêm trọng	has devastating implications for professionals	devastating impact, devastating effect
ubiquitous	adj	/juːˈbɪkwɪtəs/	có mặt khắp nơi	as AI-generated content becomes ubiquitous	ubiquitous technology, ubiquitous presence
artisanal	adj	/ˌɑːtɪˈzænl/	thủ công	created a market for handcrafted pieces	artisanal production, artisanal goods
hybrid	adj	/ˈhaɪbrɪd/	lai, kết hợp	hybrid creative practices	hybrid model, hybrid approach
curriculum/curricula	n	/kəˈrɪkjələm/	chương trình giảng dạy	integrating AI tools into curricula	school curriculum, design curriculum
synthesize	v	/ˈsɪnθəsaɪz/	tổng hợp	how to synthesize them effectively	synthesize information, synthesize ideas
irreversible	adj	/ˌɪrɪˈvɜːsəbl/	không thể đảo ngược	restructuring of creative industries appears irreversible	irreversible change, irreversible damage

Passage 3 – Essential Vocabulary

Từ vựng	Loại từ	Phiên âm	Nghĩa tiếng Việt	Nghĩa tiếng Việt	Ví dụ từ bài	Collocation
ascendance	n	/əˈsendəns/	sự lên ngôi, vị trí thống trị	The ascendance of artificial intelligence	rise to ascendance, political ascendance
ontological	adj	/ˌɒntəˈlɒdʒɪkl/	thuộc về bản thể luận	the ontological status of art itself	ontological question, ontological argument
aesthetician	n	/ˌiːsθeˈtɪʃn/	nhà nghiên cứu thẩm mỹ học	preoccupied aestheticians and cultural theorists	professional aesthetician, aesthetician’s view
indistinguishable	adj	/ˌɪndɪˈstɪŋɡwɪʃəbl/	không thể phân biệt	increasingly indistinguishable from human-created art	virtually indistinguishable, indistinguishable from
ineffable	adj	/ɪnˈefəbl/	không thể diễn tả	emerges from ineffable personal experience	ineffable beauty, ineffable quality
externalization	n	/ɪkˌstɜːnəlaɪˈzeɪʃn/	sự bên ngoài hóa	treats art as the externalization of inner life	externalization of feelings, externalization process
mimicry	n	/ˈmɪmɪkri/	sự bắt chước	at best, sophisticated mimicry	biological mimicry, perfect mimicry
anthropocentric	adj	/ˌænθrəpəʊˈsentrɪk/	lấy con người làm trung tâm	this anthropocentric view faces challenges	anthropocentric worldview, anthropocentric perspective
corpora	n (plural)	/ˈkɔːpərə/	các kho dữ liệu văn bản	trained on vast corpora of existing works	linguistic corpora, text corpora
analogous	adj	/əˈnæləɡəs/	tương tự	engage in functionally analogous processes	analogous situation, analogous to
interpolating	v	/ɪnˈtɜːpəleɪtɪŋ/	nội suy (toán học)	by interpolating between training data	interpolating data, interpolating values
ex nihilo	Latin phrase	/eks ˈniːhɪləʊ/	từ hư vô, từ không có gì	rather than ex nihilo generation	creation ex nihilo
locus	n	/ˈləʊkəs/	trung tâm, điểm (nghĩa trừu tượng)	the locus of meaning in creative works	locus of control, primary locus
intentionalist	adj/n	/ɪnˈtenʃənəlɪst/	theo thuyết chủ đích	Intentionalist theories argue	intentionalist approach, intentionalist interpretation
formalist	adj/n	/ˈfɔːməlɪst/	theo chủ nghĩa hình thức	formalist approaches locate meaning	formalist criticism, formalist theory
guild	n	/ɡɪld/	phường hội (thời trung cổ)	worked within guild systems	trade guild, merchant guild
embeddedness	n	/ɪmˈbedɪdnəs/	tính gắn kết sâu sắc	without genuine embeddedness in cultural contexts	social embeddedness, cultural embeddedness
legitimation	n	/lɪˌdʒɪtɪˈmeɪʃn/	sự hợp thức hóa	undergo similar legitimation processes	legitimation process, social legitimation
phenomenological	adj	/fɪˌnɒmɪnəˈlɒdʒɪkl/	thuộc về hiện tượng luận	requires phenomenological consciousness	phenomenological approach, phenomenological experience
substrate	n	/ˈsʌbstreɪt/	chất nền, nền tảng	can manifest in multiple substrates	biological substrate, physical substrate

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Kết bài

Bài thi IELTS Reading về tác động của trí tuệ nhân tạo đến các ngành công nghiệp sáng tạo vừa rồi đã cung cấp cho bạn một bức tranh toàn diện về một chủ đề đang rất được quan tâm trong các kỳ thi IELTS hiện nay. Với ba passages có độ khó tăng dần từ Easy (Band 5.0-6.5) đến Medium (Band 6.0-7.5) và Hard (Band 7.0-9.0), bạn đã được trải nghiệm đầy đủ các thử thách mà đề thi thật sẽ mang lại.

Passage 1 giới thiệu những ứng dụng cơ bản của AI trong thiết kế đồ họa, âm nhạc và sản xuất phim với ngôn ngữ dễ tiếp cận. Passage 2 đi sâu hơn vào các vấn đề kinh tế và xã hội, yêu cầu khả năng hiểu sâu và suy luận cao hơn. Passage 3 thách thức bạn với những khái niệm triết học phức tạp về bản chất của sáng tạo và nghệ thuật, đòi hỏi khả năng phân tích văn bản học thuật ở mức độ cao nhất.

Đáp án chi tiết và giải thích cụ thể cho từng câu hỏi sẽ giúp bạn tự đánh giá chính xác năng lực hiện tại và xác định những điểm cần cải thiện. Hãy đặc biệt chú ý đến các kỹ thuật paraphrase – cách IELTS diễn đạt lại cùng một ý tưởng bằng từ ngữ khác nhau giữa câu hỏi và passage. Kỹ năng nhận diện paraphrase là chìa khóa để đạt band điểm cao.

Bảng từ vựng theo từng passage cung cấp hơn 40 từ và cụm từ quan trọng kèm phiên âm, nghĩa tiếng Việt, ví dụ và collocation. Đây là những từ vựng học thuật xuất hiện thường xuyên không chỉ trong chủ đề công nghệ mà còn trong nhiều chủ đề IELTS khác. Hãy học chúng trong ngữ cảnh và thực hành sử dụng thường xuyên.

Để tối đa hóa hiệu quả luyện tập, hãy làm bài này trong điều kiện thi thật: đặt đồng hồ 60 phút, không tra từ điển, và tập trung hoàn toàn. Sau đó dành thời gian phân tích kỹ các câu sai để hiểu rõ lý do và rút ra bài học. Đừng chỉ đối chiếu đáp án mà hãy đọc lại passage, xác định vị trí thông tin, và hiểu cách paraphrase được sử dụng.

Chúc bạn học tập hiệu quả và đạt được band điểm mong muốn trong kỳ thi IELTS sắp tới!