The Impact of Artificial Intelligence on Job Creation - TOEFL Writing Integrated Practice Test
The TOEFL iBT® exam is designed to evaluate candidates' abilities, particularly on their communication skills. The Writing Section is one of the significant sections, requiring diverse skills from TOEFL examinees.
This practice test on 'The Impact of Artificial Intelligence on Job Creation' aims to enhance your writing abilities, concentrating specifically on the Integrated Writing task of the TOEFL test. It aims to assist you in understanding task instructions, structuring responses effectively, and enhancing your performance in the TOEFL Writing segment. So, let's start your journey towards attaining your desired TOEFL score!
Writing Instructions
- You'll read a passage and listen to a lecture on an academic topic.
- You may take notes while listening to aid comprehension.
- Then you will write a response to a question that asks you about the r lecture you heard.
- Answer the question comprehensively using information from the lecture. Avoid expressing personal opinions in the response.
- There is no strict word limit. However, an effective response is considered to be within 150 to 225 words.
- Your response will be assessed based on writing quality, content accuracy, and completeness.
Reading Time: 3 minutes
The Impact of Artificial Intelligence on Job Creation
The impact of artificial intelligence (AI) on job creation has been a topic of much debate. Supporters argue that AI has the potential to create many job opportunities and drive economic growth. One of the main ways AI can create jobs is through the development and maintenance of AI technologies. The AI industry requires a skilled group of workers, including data scientists, machine learning engineers, and AI researchers. These high-tech jobs are essential for designing, building, and improving AI systems. As the demand for AI technologies grows, so does the need for professionals with expertise in this field, leading to the creation of new job opportunities.
Another big benefit is the potential for AI to enhance productivity and efficiency across various industries. By automating repetitive and boring tasks, AI allows human workers to focus on more complex and creative aspects of their jobs. This shift can lead to the creation of new roles that require higher-level skills and problem-solving abilities. For example, in the healthcare industry, AI can handle administrative tasks, allowing healthcare professionals to spend more time on patient care and medical research.
AI can also drive innovation and the emergence of new industries. The use of AI in existing sectors can lead to the development of entirely new products and services. For instance, AI-powered technologies such as self-driving cars, smart home devices, and personalized marketing solutions are creating new markets and job opportunities. The growth of these industries can boost economic activity and generate employment in areas that did not previously exist.
Also, AI can support small and medium-sized businesses (SMEs) by providing them with tools to compete with larger corporations. AI-driven solutions can help SMEs improve their operations, enhance customer service, and develop innovative products. This support can lead to business growth and the creation of new jobs within these enterprises. By leveling the playing field, AI can contribute to a more dynamic and inclusive economy.
Now play the Audio.
Question
Provide a brief summary of the lecture's main ideas and describe the various manners in which the lecturer questions some of the reading passage's claims.
Response Time: 20 minutes
Transcript of the Audio of the Lecture on ‘The Impact of Artificial Intelligence on Job Creation’
Professor: While the potential benefits of AI for job creation are promising, there are several reasons to be cautious about its impact on employment. First, the automation of tasks by AI can lead to job loss, particularly for low-skilled and routine jobs. Many industries, such as manufacturing, retail, and transportation, are already experiencing job losses due to AI-driven automation. Workers in these sectors may find it challenging to transition to new roles that require different skills. The loss of jobs can lead to economic instability and increased unemployment, particularly for vulnerable populations.
Second, the high-tech jobs created by the AI industry may not be accessible to everyone. These positions often require advanced education and specialized training, which may not be available to all workers. The skills gap can worsen existing inequalities, as those with the necessary qualifications benefit from new job opportunities, while others are left behind. This difference can lead to a divided job market and increased social tensions.
Moreover, the focus on AI-driven productivity gains might overlook the importance of human-centric roles. Jobs that involve empathy, creativity, and people skills, such as caregiving, teaching, and counseling, are less likely to be automated. However, these roles may not receive the same level of investment and support as AI-related jobs. The undervaluation of human-centric roles can lead to a lack of job satisfaction and fulfillment for workers in these fields.
Also, the rapid pace of AI development can create uncertainty in the job market. As AI technologies continue to evolve, the skills required for various roles may change quickly, making it difficult for workers to keep up. Continuous retraining and skill upgrading are necessary, but not all workers have the resources or opportunities to engage in lifelong learning. This constant need for adaptation can create stress and job insecurity for many employees.
Sample Responses for the Integrated Writing Task on ‘The Impact of Artificial Intelligence on Job Creation’
This section provides a thorough evaluation of various responses, including both High-level and Mid-level answers. Through a detailed review of these responses, you can identify areas that need improvement to attain your target score in the TOEFL.
High-Level Response
The reading passage highlights the potential of AI to create job opportunities and drive economic growth through the development and maintenance of AI technologies, enhancing productivity, driving innovation, and supporting small and medium-sized businesses. However, the lecture presents several counterarguments to these points. The reading suggests that AI can create jobs by requiring a skilled workforce, including data scientists and machine learning engineers. The lecture counters this by arguing that AI-driven automation can lead to job loss, particularly for low-skilled and routine jobs. Workers in sectors like manufacturing and retail may find it challenging to transition to new roles, leading to economic instability and increased unemployment.
In terms of productivity and efficiency, the reading claims that AI allows human workers to focus on more complex tasks, creating new roles that require higher-level skills. The lecture, however, argues that the high-tech jobs created by the AI industry may not be accessible to everyone. These positions often require advanced education and specialized training, which may not be available to all workers, worsening existing inequalities. The reading also emphasizes that AI can drive innovation and the emergence of new industries, creating new markets and job opportunities. The lecture challenges this by suggesting that the focus on AI-driven productivity gains might overlook the importance of human-centric roles, such as caregiving and teaching. These roles are less likely to be automated but may not receive the same level of investment and support, leading to a lack of job satisfaction and fulfillment.
Finally, the reading highlights that AI can support small and medium-sized businesses by providing tools to compete with larger corporations, leading to business growth and job creation. The lecture, however, argues that the rapid pace of AI development can create uncertainty in the job market. The skills required for various roles may change quickly, making it difficult for workers to keep up. Continuous retraining and skill upgrading are necessary, but not all workers have the resources or opportunities to engage in lifelong learning, creating stress and job insecurity.
Rater’s Comment
This response deserves a high score because it effectively summarizes the main points from both the reading and the lecture, demonstrating a clear understanding of the material. The response is well-organized, with each paragraph addressing a specific point of contention between the reading and the lecture. For example, the first paragraph discusses the potential job loss due to AI-driven automation, while the second addresses the accessibility of high-tech jobs. The response accurately paraphrases the information from both sources, avoiding direct copying and demonstrating the ability to convey complex ideas in a clear and concise manner. Additionally, the response maintains an objective tone, focusing on summarizing the relationship between the reading and the lecture without expressing personal opinions. The use of transitions, such as "The lecture counters this by arguing" and "The lecture, however, argues," effectively highlights the opposing viewpoints, contributing to the overall coherence and flow of the essay. The language used is appropriate for a college-level response, with strong control over grammar and vocabulary, and only minor errors that do not affect the overall meaning. Overall, this response meets all the criteria for a high score, effectively presenting the key information from both the reading and the lecture in a well-organized and coherent manner.
Mid-Level Response
The reading passage argues that AI can create job opportunities and drive economic growth by developing and maintaining AI technologies, enhancing productivity, driving innovation, and supporting small and medium-sized businesses. But the lecture has some points against this idea. The reading says AI can create jobs by requiring a skilled workforce, including data scientists and machine learning engineers. But the lecture argues that AI-driven automation can lead to job loss, particularly for low-skilled and routine jobs. Workers in sectors like manufacturing and retail may find it challenging to transition to new roles, leading to economic instability and increased unemployment.
The reading claims that AI allows human workers to focus on more complex tasks, creating new roles that require higher-level skills. The lecture, however, argues that the high-tech jobs created by the AI industry may not be accessible to everyone. These positions often require advanced education and specialized training, which may not be available to all workers, worsening existing inequalities. The reading also emphasizes that AI can drive innovation and the emergence of new industries, creating new markets and job opportunities. The lecture challenges this by suggesting that the focus on AI-driven productivity gains might overlook the importance of human-centric roles, such as caregiving and teaching. These roles are less likely to be automated but may not receive the same level of investment and support, leading to a lack of job satisfaction and fulfillment.
Rater’s Comment
This response provides a summary of the main points from both the reading and the lecture, but it has some limitations that prevent it from achieving a higher score. While the response accurately identifies the key arguments from both sources, it lacks depth in its analysis and explanation. For example, the response mentions that the lecture argues against the accessibility of high-tech jobs, but it does not elaborate on how these positions often require advanced education and specialized training. Additionally, the response has some grammatical errors, such as "The reading says AI can create jobs by requiring a skilled workforce, including data scientists and machine learning engineers," which could be more clearly stated as "The reading suggests that AI can create jobs by requiring a skilled workforce, including data scientists and machine learning engineers." The response also lacks a conclusion, which would help to summarize the overall relationship between the reading and the lecture. Furthermore, the response could benefit from more effective use of transitions to improve coherence and flow. Despite these issues, the response demonstrates a basic understanding of the material and provides a clear comparison of the opposing viewpoints. Overall, this response meets the criteria for a mid-level score, but it could be improved with more detailed analysis, better organization, and fewer grammatical errors.
Strategies for Taking the Integrated Writing Task on the Impact of Artificial Intelligence on Job Creation
Here are the strategies for taking the Integrated Writing Task on Impact of Artificial Intelligence on Job Creation :
- Read the passage carefully, taking concise notes on key points.
- Listen actively to the lecture, and evaluate its relationship to the reading.
- Begin your response by clearly stating how the lecture relates to the reading.
- Explain any contradictions or connections between the reading and lecture.
- Incorporate the given information from both sources throughout your essay.
- Use clear transitions for information from each source to make a point.
Additional Reads:
- TOEFL iBT Integrated: Gain the Ability to Comprehend Information and Express Thoughts in Writing
- Important Discoveries and Inventions - TOEFL iBT® Academic Discussion Writing Practice Test with Sample Answers
- Social Media - TOEFL Academic Discussion Writing Practice Test with Sample Answers
- Eco-Certified - TOEFL Writing Integrated Test
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