intelligence argumentative essay

Argumentative Essay Example on Artificial Intelligence in MLA

Like we discussed in our previous blog, argumentative essays are complicated to write. In most cases, having a look at the examples of argumentative essays can help you construct ideas and write yours. In this blog, we present to you an example of an MLA argumentative essay on Artificial Intelligence as a solution more than a threat. When writing an argumentative essay, it is a chance to present your prowess ion sharing with the audience why both options are considerable. Also, just like in a persuasive essay you can persuade the readers to adopt your side of the argument. In this respect, either side of the arguments on argumentative essay topics is presented, including a counterargument. The conclusion should then make clear what is in the body of the essay.

Provided you have a great topic for your essay, enough and proper evidence to back your claims, and facts to refute the opponent's viewpoint, you can always write convincing arguments. A strong thesis is a must for an argumentative essay. So is the conclusion, which must stand out. Look at this top-grade argumentative essay example and learn the art.

Argumentative Essay Example: Artificial Intelligence: A Solution more than a Threat

The debate on the future of making in the age of computers remains to be a hotly contested debate in the public, professional, and scholarly spheres. Within the stem of the debate, there have been fears in the fast growing field of computing referred to as artificial intelligence.  Artificial intelligence or AI is a term that was originally coined in the 1950s by John McCarthy, and it simply means machine intelligence. It is the field of computer science that deals with the study of the systems that act or behave in a way that an observer sees them as intelligent and using human and animal intelligent behavior models in solving sophisticated problems (Kaplan 1). Even though portrayed as a threat on account of the loss of jobs, AI is a promising solution for medical applications with efficiency and high precision compared to humans and in disaster response.

Artificial intelligence (AI) has proven to be a solution to natural disasters abound to affect different places globally. The success of any humanitarian intervention depends on quality information, which is in the heart AI systems. For example, the Artificial Intelligence Disaster Response (AIDR) has been applied in different catastrophes in enabling the coordination between machines and human intelligence in coordination response operations (Imran et al. 159). During such events, AIDR allows for the coordination of drones, sensors, and robots to acquire, synthesize and produce accurate information based on the landscapes, thus making rescue less-time consuming and easier (Imran et al. 159-160). It has been used in the Nepal earthquake in the mobilization of volunteers as well as in the Chile earthquake in evacuation processes, in 2015 (EKU). Therefore, artificial intelligence offers high precision and accuracy in solving tasks that are otherwise complicated and time-consuming to humans.

Apart from disaster response, Artificial Intelligence also plays a critical role in the field of medicine including research, training, and diagnosis of diseases. In fact, Medical Artificial Intelligence deals with the construction of AI systems and programs that can make diagnosis and therapy recommendations easier (Moein xi). The medical field uses AI techniques such as Expert systems and Knowledge-based systems. These systems offer the clinicians and other medical professionals the ability to do data mining that is used in interpreting complex diagnostic tests. Such tests and results are accurate since the AI systems integrate information from various sources to offer patient-specific therapy and treatment recommendations (Moein 2). AI-supported medical diagnosis is correct and provides information for both the patients and the experts for effective decision making. As such, it is evident that artificial intelligence has not only revolutionized the medical field but promises its sustainability.

Despite being a savior to humankind in the field of medicine and natural disaster response, AI presents the existential threat of loss of jobs. Research predicts that artificial intelligence already has and poses an existential threat to the labor market. The emergence of intelligent algorithms that control robots has led to the loss of jobs that are otherwise tiring and monotonous to humans (Kaplan 113). For example, artificial intelligence controls the robots that are used in the design and manufacture of vehicles. In this case, the people formerly employed in the industry have lost jobs. In a study by researchers at Oxford University, it emerged that the recent emergence of machine learning and robotics will significantly affect the U.S. labor market, with 47% of the jobs being at risk of automation (Kaplan 118). Even so, not all jobs in entirety will be affected. Rather, even the existence of AI in the workplace would require the support of experts, which is also another frontier for job creation. In sum, even though AI poses a threat to the labor market, it creates an avenue for employment as well.

In conclusion, amidst the fear that artificial intelligence is a threat, either now or in the future, it is clear that it has substantial and critical benefits for humans. Using the systems that mimic human and animal intelligence is the next frontier in solving problems within society. In fact, in its definition, AI seeks to create solutions to complex problems. In this respect, its application in medicine could help in creating a breakthrough in finding the cure for chronic diseases such as cancer and HIV that are affecting masses.  Furthermore, as man increases activity on the earth's surface nature is poised to fight back through natural disasters. In this case, AI comes handy as a partner to help humans prevent the aftermath of disasters. The only threat posed by AI is the loss of jobs, which again is predictable and has been a progressive issue. Even in doing so, AI presents an opportunity for job creation. Therefore, AI has more benefits compared to the threats and stands as a solution other than a threat.

Works Cited

EKU. "Using Artificial Intelligence for Emergency Management | EKU Online."  Safetymanagement.eku.edu . N.p., 2017. Web. 4 Sept. 2017.

Imran, Muhammad et al. "AIDR."  Proceedings of the 23rd International Conference on World Wide Web - WWW '14 Companion  (2014): 159-162. Web. 4 Sept. 2017.

Kaplan, Jerry.  Artificial Intelligence: What Everyone Needs To Know ? New York, NY, United States of America: Oxford University Press, 2016. Print.

Moein, Sara.  Medical Diagnosis Using Artificial Neural Networks . Hershey, PA: Medical Information Science Reference, 2014. Print.

Parting Shot!

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Essays on Artificial Intelligence

Artificial intelligence essay topics for college students.

Welcome, college students! Writing an essay on artificial intelligence can be an exciting and challenging task. The key to a successful essay lies in selecting the right topic that sparks your interest and allows you to showcase your creativity. In this resource page, we will provide you with a variety of essay types and topics to help you get started on your AI essay journey.

Argumentative Essay Topic for Artificial Intelligence Essays

• The ethical implications of AI technology
• The impact of AI on job automation
• Regulating AI development for societal benefits

Introduction Paragraph Example: Artificial intelligence has revolutionized the way we interact with technology, raising important ethical questions about its implications on society. In this essay, we will explore the ethical challenges of AI technology and discuss the need for regulations to ensure its responsible development.

Conclusion Paragraph Example: In conclusion, it is evident that the ethical implications of AI technology are multifaceted and require careful consideration. By implementing regulations and ethical guidelines, we can harness the benefits of AI while minimizing its potential risks.

Compare and Contrast Essay Topics for Artificial Intelligence

• The differences between narrow AI and general AI
• Comparing AI in science fiction to real-world applications
• The impact of AI on different industries
• AI vs. human intelligence: Strengths and weaknesses
• Machine learning vs. deep learning
• AI in healthcare vs. AI in finance
• AI-driven automation vs. traditional automation
• Cloud-based AI vs. edge AI
• The role of AI in developed vs. developing countries
• AI in education vs. AI in entertainment

Introduction Paragraph Example: The field of artificial intelligence encompasses a wide range of technologies, from narrow AI systems designed for specific tasks to the hypothetical concept of general AI capable of human-like intelligence. In this essay, we will compare and contrast the characteristics of narrow and general AI to understand their implications on society.

Conclusion Paragraph Example: Through this comparison, we have gained insights into the diverse applications of AI technology and the potential challenges it poses to various industries. By understanding the differences between narrow and general AI, we can better prepare for the future of artificial intelligence.

Descriptive Essay Essay Topics for Artificial Intelligence

• The role of AI in healthcare advancements
• The development of AI algorithms for autonomous vehicles
• The applications of AI in natural language processing
• The architecture of neural networks
• The evolution of AI from the 20th century to today
• The ethical implications of AI decision-making
• The process of training an AI model
• The impact of AI on the job market
• The future potential of quantum AI
• The role of AI in personalized marketing

Introduction Paragraph Example: AI technology has transformed the healthcare industry, enabling innovative solutions that improve patient care and diagnosis accuracy. In this essay, we will explore the role of AI in healthcare advancements and its impact on the future of medicine.

Conclusion Paragraph Example: In conclusion, the integration of AI technology in healthcare has the potential to revolutionize the way we approach patient care and medical research. By leveraging AI algorithms and machine learning capabilities, we can achieve significant advancements in the field of medicine.

Persuasive Essay Essay Topics for Artificial Intelligence

• Promoting diversity and inclusion in AI development
• The importance of ethical AI education in schools
• Advocating for AI transparency and accountability
• The necessity of regulating AI technology
• Why AI should be used to combat climate change
• The benefits of AI in improving public safety
• Encouraging responsible AI usage in social media
• The potential of AI to revolutionize education
• Why businesses should invest in AI technology
• The role of AI in enhancing cybersecurity

Introduction Paragraph Example: As artificial intelligence continues to permeate various aspects of our lives, it is essential to prioritize diversity and inclusion in AI development to ensure equitable outcomes for all individuals. In this essay, we will discuss the importance of promoting diversity and inclusion in AI initiatives and the benefits it brings to society.

Conclusion Paragraph Example: By advocating for diversity and inclusion in AI development, we can create a more equitable and socially responsible future for artificial intelligence. Through ethical education and transparent practices, we can build a foundation of trust and accountability in AI technology.

Narrative Essay Essay Topics for Artificial Intelligence

• A day in the life of an AI researcher
• The journey of building your first AI project
• An imaginary conversation with a sentient AI being
• The story of a world transformed by AI
• How AI solved a major global problem
• A personal encounter with AI technology
• The evolution of AI in your lifetime
• The challenges faced while developing an AI startup
• A future where AI coexists with humans
• Your experience learning about AI for the first time

Introduction Paragraph Example: Imagine a world where artificial intelligence blurs the lines between human and machine, offering new possibilities and ethical dilemmas. In this narrative essay, we will embark on a journey through the eyes of an AI researcher, exploring the challenges and discoveries that come with pushing the boundaries of technology.

Conclusion Paragraph Example: Through this narrative journey, we have delved into the complexities of artificial intelligence and the ethical considerations that accompany its development. By embracing the possibilities of AI technology while acknowledging its limitations, we can shape a future that balances innovation with ethical responsibility.

Hooks for Artificial Intelligence Essay

• "Imagine a world where machines not only perform tasks but also think, learn, and make decisions just like humans. Welcome to the era of Artificial Intelligence (AI), a revolutionary force reshaping our future."
• "From self-driving cars to smart personal assistants, AI is seamlessly integrating into our daily lives. But what lies beneath this cutting-edge technology, and how will it transform the way we live and work?"
• "As AI continues to advance at an unprecedented pace, questions about its ethical implications and impact on society become more urgent. Can we control the intelligence we create, or will it control us?"
• "AI is not just a futuristic concept confined to science fiction. It’s here, and it’s real, influencing industries, healthcare, education, and even our personal lives. How prepared are we for this technological revolution?"
• "The debate over AI is heating up: Will it lead to a utopian society with endless possibilities, or is it a Pandora's box with risks we have yet to fully understand? The answers may surprise you."

Artificial Intelligence: a Threat Or a Potential Boon

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Artificial Intelligence: Applications, Advantages and Disanvantages

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Artificial intelligence (AI) refers to the intellectual capabilities exhibited by machines, contrasting with the innate intelligence observed in living beings, such as animals and humans.

The inception of artificial intelligence research as an academic field can be traced back to its establishment in 1956. It was during the renowned Dartmouth conference of the same year that artificial intelligence acquired its distinctive name, definitive purpose, initial accomplishments, and notable pioneers, thereby earning its reputation as the birthplace of AI. The esteemed figures of Marvin Minsky and John McCarthy are widely recognized as the founding fathers of this discipline.

• The term "artificial intelligence" was coined in 1956 by computer scientist John McCarthy.
• McKinsey Global Institute estimates that by 2030, automation and AI technologies could contribute to a global economic impact of $13 trillion.
• AI is used in various industries, including healthcare, finance, and transportation.
• The healthcare industry is leveraging AI for improved patient care. A study published in the journal Nature Medicine reported that an AI model was able to detect breast cancer with an accuracy of 94.5%, outperforming human radiologists.
• Ethical concerns surrounding AI include privacy issues, bias in algorithms, and the potential for job displacement.

Artificial Intelligence is an important topic because it has the potential to revolutionize industries, improve efficiency, and enhance decision-making processes. As AI technology continues to advance, it is crucial for society to understand its implications, both positive and negative, in order to harness its benefits while mitigating its risks.

1. Russell, S. J., & Norvig, P. (2016). Artificial Intelligence: A Modern Approach (3rd ed.). Prentice Hall. 2. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press. 3. Kurzweil, R. (2005). The Singularity Is Near: When Humans Transcend Biology. Viking. 4. Bostrom, N. (2014). Superintelligence: Paths, Dangers, Strategies. Oxford University Press. 5. Chollet, F. (2017). Deep Learning with Python. Manning Publications. 6. Domingos, P. (2018). The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Basic Books. 7. Ng, A. (2017). Machine Learning Yearning. deeplearning.ai. 8. Marcus, G. (2018). Rebooting AI: Building Artificial Intelligence We Can Trust. Vintage. 9. Winfield, A. (2018). Robotics: A Very Short Introduction. Oxford University Press. 10. Shalev-Shwartz, S., & Ben-David, S. (2014). Understanding Machine Learning: From Theory to Algorithms. Cambridge University Press.

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107 Artificial Intelligence Essay Topic Ideas & Examples

Inside This Article

Artificial Intelligence (AI) is a rapidly advancing field that has the potential to revolutionize various aspects of our lives. From self-driving cars to virtual assistants, AI is already making a significant impact on society. If you are tasked with writing an essay on artificial intelligence, you might be wondering where to start. To help you get started, here are 107 artificial intelligence essay topic ideas and examples that you can consider:

• The history and evolution of artificial intelligence.
• The ethical implications of artificial intelligence.
• The impact of artificial intelligence on job markets.
• Can artificial intelligence replace human creativity?
• The role of artificial intelligence in healthcare.
• The potential dangers of advanced artificial intelligence.
• The impact of AI on education and learning.
• How AI is transforming customer service.
• The importance of transparency in AI decision-making.
• The challenges of regulating artificial intelligence.
• The impact of AI on cybersecurity.
• The role of AI in climate change mitigation.
• The use of AI in financial markets.
• The impact of AI on privacy and personal data.
• The potential of AI in space exploration.
• The role of AI in improving transportation systems.
• The impact of AI on the entertainment industry.
• The use of AI in agriculture and food production.
• The challenges of bias and fairness in AI algorithms.
• The role of AI in diagnosing and treating diseases.
• The impact of AI on military warfare.
• The potential of AI in reducing poverty and inequality.
• The role of AI in predicting and preventing natural disasters.
• The ethical considerations of AI in autonomous weapons.
• The impact of AI on social media and online platforms.
• The use of AI in language translation and interpretation.
• The challenges of AI in understanding human emotions.
• The role of AI in improving urban planning and development.
• The impact of AI on the music industry.
• The potential of AI in enhancing human capabilities.
• The ethical implications of AI in human cloning.
• The impact of AI on law enforcement and crime prevention.
• The use of AI in environmental conservation.
• The challenges of bias in AI facial recognition technology.
• The role of AI in improving disaster response and recovery.
• The impact of AI on journalism and news reporting.
• The potential of AI in enhancing virtual reality experiences.
• The ethical considerations of AI in animal testing.
• The impact of AI on the legal profession.
• The use of AI in improving mental health diagnosis and treatment.
• The challenges of AI in promoting diversity and inclusion.
• The role of AI in enhancing sports performance.
• The impact of AI on transportation infrastructure.
• The potential of AI in predicting and preventing pandemics.
• The ethical considerations of AI in autonomous vehicles.
• The impact of AI on the fashion industry.
• The use of AI in disaster management and response.
• The challenges of AI in detecting and preventing fraud.
• The role of AI in improving renewable energy systems.
• The impact of AI on the hospitality industry.
• The potential of AI in enhancing virtual reality gaming.
• The ethical implications of AI in genetic engineering.
• The impact of AI on supply chain management.
• The use of AI in wildlife conservation and protection.
• The challenges of AI in ensuring algorithmic accountability.
• The role of AI in enhancing retail shopping experiences.
• The impact of AI on the film and movie industry.
• The potential of AI in improving disaster preparedness.
• The ethical considerations of AI in organ transplantation.
• The impact of AI on the advertising industry.
• The use of AI in improving public transportation systems.
• The challenges of AI in detecting and preventing cyberattacks.
• The role of AI in enhancing renewable energy infrastructure.
• The impact of AI on the gaming industry.
• The potential of AI in improving emergency response systems.
• The ethical implications of AI in brain-computer interfaces.
• The impact of AI on the healthcare insurance industry.
• The use of AI in improving waste management systems.
• The challenges of AI in detecting and preventing hate speech.
• The role of AI in enhancing e-commerce experiences.
• The impact of AI on the music streaming industry.
• The potential of AI in improving disaster recovery processes.
• The ethical considerations of AI in reproductive technologies.
• The impact of AI on the real estate industry.
• The use of AI in improving traffic management systems.
• The challenges of AI in detecting and preventing misinformation.
• The role of AI in enhancing personalized medicine.
• The impact of AI on the insurance industry.
• The potential of AI in improving water resource management.
• The ethical implications of AI in criminal justice systems.
• The impact of AI on the travel and tourism industry.
• The use of AI in improving energy consumption patterns.
• The challenges of AI in detecting and preventing online harassment.
• The role of AI in enhancing personalized learning experiences.
• The impact of AI on the banking and finance industry.
• The potential of AI in improving air quality monitoring.
• The ethical considerations of AI in social media algorithms.
• The impact of AI on the food and beverage industry.
• The use of AI in improving urban waste disposal systems.
• The challenges of AI in detecting and preventing online fraud.
• The role of AI in enhancing virtual reality training programs.
• The impact of AI on the telecommunications industry.
• The potential of AI in improving public health surveillance.
• The ethical implications of AI in digital advertising.
• The impact of AI on the retail and e-commerce industry.
• The use of AI in improving disaster risk assessment.
• The challenges of AI in detecting and preventing online radicalization.
• The role of AI in enhancing personalized customer experiences.
• The impact of AI on the automotive industry.
• The potential of AI in improving waste recycling processes.
• The ethical considerations of AI in social credit systems.
• The impact of AI on the fashion and beauty industry.
• The use of AI in improving disaster early warning systems.
• The challenges of AI in detecting and preventing online scams.
• The role of AI in enhancing virtual reality therapy.
• The impact of AI on the pharmaceutical industry.
• The potential of AI in improving disaster response coordination.

These essay topic ideas and examples cover a wide range of areas where artificial intelligence is making an impact. Choose a topic that interests you the most and conduct thorough research to gather relevant information and data to support your arguments. Remember to critically analyze the ethical implications and challenges associated with the topic, as well as the potential benefits and limitations of AI applications. Good luck with your essay!

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Pros and Cons of Artificial Intelligence Essay (Critical Writing)

The system of artificial intelligence (AI) has significantly developed over the last decade. AI has both pros and cons, while the consequences of its growing impact are a controversial matter. Artificial intelligence can make any process efficient since it works quickly and correctly. AI in the modern world brings mainly positive results in those areas where it is used. Despite all merits of AI, it has disadvantages due to probable errors, the duration of the learning process, and public fear of rebellion against humanity. For these reasons, AI researchers are divided into two opposing camps. To come to a clear opinion, it is necessary to analyze each of the parties thoroughly.

The first party of researchers considers AI as a tool for developing technology, raising the standard of living, and the prosperity of humankind as a whole. Representatives of this view are Groom and Jones – Doctors of Philosophy and eminent figures in information and communication sciences who have successful technological careers. Their views are multi-perspective and valuable, as they considered the technological and philosophical sides of the issue.

They highlight several essential characteristics that distinguish AI from human performance. The first is that “the introduction of AI makes it possible to process large amounts of data quickly and efficiently, minimizing human involvement and, by reducing the human factor, minimizing error.” (87). The second one is that “neural networks do not have a performance threshold”, which means that if a person can check, for example, 100 parts for quality in a day, then the system will review them as much as the server capacities allow (89). These statements are well-founded and emphasize the advantages of Artificial Intelligence.

I agree with the authors on this point and can only add that AI can work 24/7 without the need for sleep or rest. Its productivity and quality of work do not decrease depending on the working time, fatigue, and personal circumstances. This means that the main advantages of currently existing solutions are the ability to automate many areas of activity while minimizing human participation and expanding areas where it is possible to use software instead of human labor.

Groom and Jones consider that “with the help of AI technologies, the speed and level of automation of processing large amounts of information are significantly growing while improving the quality and manufacturability” (110). I agree that, at the moment, AI is especially good at analyzing large amounts of data, where a person would take too much time, and conventional programs that do not use machine learning would not be able to achieve the necessary accuracy. With the right attitude to new technologies, the use of data increases, as well as the efficiency and quality of management decisions.

On the other hand, my opinion is that not only intellectual and computational work should be shifted to AI. Among other advantages, AI technology is best suited for optimizing various mechanical activities, automating routine operations, and using them in hazardous industries. Proper use of robotics on conveyor lines may allow switching to non-stop functions, optimize the cost of the enterprise, and improve product quality. It is essential to understand that progress in the world is still strongly connected to technology (Shaw 5). However, after the introduction of automation, these operations will occur faster and cheaper than a person can do.

To fully understand the pros and cons of AI, a different perspective needs to be considered. I consider Hurley a prominent representative of the opinion that artificial intelligence is not able to change a person and has many weaknesses. Hurley thinks that “each task that is being solved now is RnD in its purest form: a person needs to define, systematize, come up with a solution, and implement this solution” (107). That is a creative process that requires a high level of science and expertise in the field of application of this solution, whether it be FMCG, space, medicine, or the area of implementing neural network systems (Hurley 97). The fundamental difficulty of these projects is related to the unpredictability of the result. This view is supported by Harkut and Kasat (2019). They note that AI technology has a programmed automized decision-making process, which is a simulation of human intelligence. AI has a specific code for the decision-making process; however, it may lead to inconsistencies since it does not admit possible important human factors.

I do not fully agree with the authors on this question: implementing an AI system makes it possible to predict development without implementing the project. Discovering technologies and algorithms will tell practically nothing to a person without a mathematical education and practical experience, only a few top managers with such a background among customers.

The contrary argument and the weak point of Artificial Intelligence is also the lack of large enough data sets for training AI. Technologies for collecting and processing data are constantly evolving, and companies can already implement Data Lake technologies, which are becoming an excellent platform for training artificial intelligence. However, this is still not enough to complete fast neural network training.

I consider it important to study the views on artificial intelligence by Dr. Garg. He is assistant director, of executive programs management at Amity University Uttar Pradesh India, a Ph.D. and UGC NET qualified with 15+ years of academic experience. As well as Dr. Agrawal is PhD, and UGC-NET qualified with 18+ years of experience in teaching and research, working as a Professor. Because of their significant experience and ability to evaluate using AI in real business processes, their opinion seems authoritative and worthy of attention. They consider that implementing artificial intelligence in business is a financially costly process (Agrawal and Garg 21). For industrial enterprises, such solutions may lead to a delayed economic effect.

Transitional solutions and real-time data visualization allow approximating economic benefits. Another difficulty is the need to restructure the business process when introducing intelligent systems (Agrawal and Garg 27). I consider it is not enough to buy such a solution and put it like a flower in a vase or an application on a computer. It is necessary to make this decision friendly to the business process: create, reconfigure, or even cancel some operations, retrain people, and optimize staff.

Most existing and developing artificial intelligence products aim to perform routine tasks by many specialists. Even though this leads to more straightforward work, it leads to a reduction in jobs. In Oshida’s opinion, it is unprofitable for the result to keep a certain number of professionals doing tasks under AI control (99). Accordingly, for the sake of the economy and profit, employers will seek to eliminate irrelevant employees (Faris et al. 61). Unemployment is increasing, and the retraining of specialists will take much time and additional resources of the state and the educational system. Further complicating the situation is that artificial intelligence does not make reason in human terms (Faris et al. 54). AI leads to the fact that the robot or computer does not take into account ethical norms and values. Its activity is designed to complete tasks but not to create a positive atmosphere, considering other people’s interests and teamwork.

Based on the totality of all the above points of view, I can conclude that artificial intelligence is an ambiguous technology for humanity. However, most of the problems that arise as a result of AI integration can be solved by indirect methods. For example, the number of vacancies for programmers and other professionals whose activities will be directed to the control and maintenance of computers will increase. From my point of view, that can retrain those dismissed due to lack of demand following the new standards, which will help keep the unemployment rate at the same level. At the same time, one should consider the large utility that AI provides for corporations and general human activities. I believe that this phenomenon has much more advantages than disadvantages, so abandoning artificial intelligence is inefficient.

Artificial intelligence is a somewhat controversial issue. The discussions around it are essential for its development. It is worth saying that artificial intelligence has two sides: positive and negative. Admittedly, the positive side is more significant, as it has enabled many industries to improve their operations and make them significantly more efficient. It is necessary to approach them non-standard to solve all the negative results of artificial intelligence.

Works Cited

Agrawal, Rashmi and Garg, Vikas. (Eds.). Transforming management using artificial intelligence techniques . CRC Press, 2020.

Faris, Hossam, Aljarah, Ibrahim, and Mirjalili, Seyedali. (Eds.). Evolutionary machine learning techniques. Algorithms and applications . Springer Singapore, 2017.

Groom, Frank M. and Jones, Stephan S. (Eds.). Artificial intelligence and machine learning for business for non-engineers . CRC Press, 2020.

Harkut, Dinesh G., and Kashmira Kasat. “Introductory chapter: artificial intelligence-challenges and applications.” Artificial Intelligence-Scope and Limitations (2019).

Hurley, Richard. Big data . Ationa Publishers, 2020.

Oshida, Yoshiki. Artificial intelligence for medicine. People, society, pharmaceuticals, and medical materials . De Gruyter, 2021.

Shaw, James, et al. “Artificial intelligence and the implementation challenge.” Journal of medical Internet research. Vol. 21, no. 7, 2019, p. 11.

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How to Write an Argumentative Essay | Examples & Tips

Published on July 24, 2020 by Jack Caulfield . Revised on July 23, 2023.

An argumentative essay expresses an extended argument for a particular thesis statement . The author takes a clearly defined stance on their subject and builds up an evidence-based case for it.

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Table of contents

When do you write an argumentative essay, approaches to argumentative essays, introducing your argument, the body: developing your argument, concluding your argument, other interesting articles, frequently asked questions about argumentative essays.

You might be assigned an argumentative essay as a writing exercise in high school or in a composition class. The prompt will often ask you to argue for one of two positions, and may include terms like “argue” or “argument.” It will frequently take the form of a question.

The prompt may also be more open-ended in terms of the possible arguments you could make.

Argumentative writing at college level

At university, the vast majority of essays or papers you write will involve some form of argumentation. For example, both rhetorical analysis and literary analysis essays involve making arguments about texts.

In this context, you won’t necessarily be told to write an argumentative essay—but making an evidence-based argument is an essential goal of most academic writing, and this should be your default approach unless you’re told otherwise.

Examples of argumentative essay prompts

At a university level, all the prompts below imply an argumentative essay as the appropriate response.

Your research should lead you to develop a specific position on the topic. The essay then argues for that position and aims to convince the reader by presenting your evidence, evaluation and analysis.

• Don’t just list all the effects you can think of.
• Do develop a focused argument about the overall effect and why it matters, backed up by evidence from sources.
• Don’t just provide a selection of data on the measures’ effectiveness.
• Do build up your own argument about which kinds of measures have been most or least effective, and why.
• Don’t just analyze a random selection of doppelgänger characters.
• Do form an argument about specific texts, comparing and contrasting how they express their thematic concerns through doppelgänger characters.

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An argumentative essay should be objective in its approach; your arguments should rely on logic and evidence, not on exaggeration or appeals to emotion.

There are many possible approaches to argumentative essays, but there are two common models that can help you start outlining your arguments: The Toulmin model and the Rogerian model.

Toulmin arguments

The Toulmin model consists of four steps, which may be repeated as many times as necessary for the argument:

• Make a claim
• Provide the grounds (evidence) for the claim
• Explain the warrant (how the grounds support the claim)
• Discuss possible rebuttals to the claim, identifying the limits of the argument and showing that you have considered alternative perspectives

The Toulmin model is a common approach in academic essays. You don’t have to use these specific terms (grounds, warrants, rebuttals), but establishing a clear connection between your claims and the evidence supporting them is crucial in an argumentative essay.

Say you’re making an argument about the effectiveness of workplace anti-discrimination measures. You might:

• Claim that unconscious bias training does not have the desired results, and resources would be better spent on other approaches
• Cite data to support your claim
• Explain how the data indicates that the method is ineffective
• Anticipate objections to your claim based on other data, indicating whether these objections are valid, and if not, why not.

Rogerian arguments

The Rogerian model also consists of four steps you might repeat throughout your essay:

• Discuss what the opposing position gets right and why people might hold this position
• Highlight the problems with this position
• Present your own position , showing how it addresses these problems
• Suggest a possible compromise —what elements of your position would proponents of the opposing position benefit from adopting?

This model builds up a clear picture of both sides of an argument and seeks a compromise. It is particularly useful when people tend to disagree strongly on the issue discussed, allowing you to approach opposing arguments in good faith.

Say you want to argue that the internet has had a positive impact on education. You might:

• Acknowledge that students rely too much on websites like Wikipedia
• Argue that teachers view Wikipedia as more unreliable than it really is
• Suggest that Wikipedia’s system of citations can actually teach students about referencing
• Suggest critical engagement with Wikipedia as a possible assignment for teachers who are skeptical of its usefulness.

You don’t necessarily have to pick one of these models—you may even use elements of both in different parts of your essay—but it’s worth considering them if you struggle to structure your arguments.

Regardless of which approach you take, your essay should always be structured using an introduction , a body , and a conclusion .

Like other academic essays, an argumentative essay begins with an introduction . The introduction serves to capture the reader’s interest, provide background information, present your thesis statement , and (in longer essays) to summarize the structure of the body.

Hover over different parts of the example below to see how a typical introduction works.

The spread of the internet has had a world-changing effect, not least on the world of education. The use of the internet in academic contexts is on the rise, and its role in learning is hotly debated. For many teachers who did not grow up with this technology, its effects seem alarming and potentially harmful. This concern, while understandable, is misguided. The negatives of internet use are outweighed by its critical benefits for students and educators—as a uniquely comprehensive and accessible information source; a means of exposure to and engagement with different perspectives; and a highly flexible learning environment.

The body of an argumentative essay is where you develop your arguments in detail. Here you’ll present evidence, analysis, and reasoning to convince the reader that your thesis statement is true.

In the standard five-paragraph format for short essays, the body takes up three of your five paragraphs. In longer essays, it will be more paragraphs, and might be divided into sections with headings.

Each paragraph covers its own topic, introduced with a topic sentence . Each of these topics must contribute to your overall argument; don’t include irrelevant information.

This example paragraph takes a Rogerian approach: It first acknowledges the merits of the opposing position and then highlights problems with that position.

Hover over different parts of the example to see how a body paragraph is constructed.

A common frustration for teachers is students’ use of Wikipedia as a source in their writing. Its prevalence among students is not exaggerated; a survey found that the vast majority of the students surveyed used Wikipedia (Head & Eisenberg, 2010). An article in The Guardian stresses a common objection to its use: “a reliance on Wikipedia can discourage students from engaging with genuine academic writing” (Coomer, 2013). Teachers are clearly not mistaken in viewing Wikipedia usage as ubiquitous among their students; but the claim that it discourages engagement with academic sources requires further investigation. This point is treated as self-evident by many teachers, but Wikipedia itself explicitly encourages students to look into other sources. Its articles often provide references to academic publications and include warning notes where citations are missing; the site’s own guidelines for research make clear that it should be used as a starting point, emphasizing that users should always “read the references and check whether they really do support what the article says” (“Wikipedia:Researching with Wikipedia,” 2020). Indeed, for many students, Wikipedia is their first encounter with the concepts of citation and referencing. The use of Wikipedia therefore has a positive side that merits deeper consideration than it often receives.

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An argumentative essay ends with a conclusion that summarizes and reflects on the arguments made in the body.

No new arguments or evidence appear here, but in longer essays you may discuss the strengths and weaknesses of your argument and suggest topics for future research. In all conclusions, you should stress the relevance and importance of your argument.

Hover over the following example to see the typical elements of a conclusion.

The internet has had a major positive impact on the world of education; occasional pitfalls aside, its value is evident in numerous applications. The future of teaching lies in the possibilities the internet opens up for communication, research, and interactivity. As the popularity of distance learning shows, students value the flexibility and accessibility offered by digital education, and educators should fully embrace these advantages. The internet’s dangers, real and imaginary, have been documented exhaustively by skeptics, but the internet is here to stay; it is time to focus seriously on its potential for good.

If you want to know more about AI tools , college essays , or fallacies make sure to check out some of our other articles with explanations and examples or go directly to our tools!

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An argumentative essay tends to be a longer essay involving independent research, and aims to make an original argument about a topic. Its thesis statement makes a contentious claim that must be supported in an objective, evidence-based way.

An expository essay also aims to be objective, but it doesn’t have to make an original argument. Rather, it aims to explain something (e.g., a process or idea) in a clear, concise way. Expository essays are often shorter assignments and rely less on research.

At college level, you must properly cite your sources in all essays , research papers , and other academic texts (except exams and in-class exercises).

Add a citation whenever you quote , paraphrase , or summarize information or ideas from a source. You should also give full source details in a bibliography or reference list at the end of your text.

The exact format of your citations depends on which citation style you are instructed to use. The most common styles are APA , MLA , and Chicago .

The majority of the essays written at university are some sort of argumentative essay . Unless otherwise specified, you can assume that the goal of any essay you’re asked to write is argumentative: To convince the reader of your position using evidence and reasoning.

In composition classes you might be given assignments that specifically test your ability to write an argumentative essay. Look out for prompts including instructions like “argue,” “assess,” or “discuss” to see if this is the goal.

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Artificial Intelligence Argumentative Essay (Real Life Examples Included)

Some argue that artificial intelligence is playing positive role in our lives and has many benefits, such as increased efficiency, productivity, and convenience, while others think that it has negative consequences, like job displacement and ethical concerns. In this essay, you will see both sides of the arguments i.e. potential benefits and drawbacks of AI technology.

Introduction

What is AI? The computers and machines can do things that usually need human thinking, like learning, solving problems, and understanding language. It’s like how our brains work, but with machines. AI can learn from the experiences and get better at doing things on its own, and it’s used for robots, speech and image recognition, and even self-driving cars!

It is important in today’s world because it has the potential to transform industries, improve efficiency, and enhance decision-making across a wide range of fields. It is also seen as a key driver of economic growth and innovation in many countries.

The Pros of AI

Efficiency and productivity.

Since AI can process large amounts of data quickly and efficiently, therefore, this ability makes it a powerful tool for analyzing and deriving insights from large and complex datasets.

It has the ability to identify patterns, correlations, and trends that might not be immediately apparent to humans. This ability to process data at large scale and high speed has significant implications for businesses. It enable them to make faster and accurate decisions, improve customer experiences, and optimize operations.

AI has also capacity to process data has facilitated the development of technologies such as predictive analytics, natural language processing, and machine learning, which have opened up new possibilities in fields such as healthcare, finance, transportation, and many more.

Some examples of efficiency and productivity of are given below:

• AI-powered diagnostic tools can analyze medical images (like X-rays or MRIs) in seconds and help radiologists to identify potential issues more quickly and accurately. For example, Google’s DeepMind AI can detect over 50 eye diseases as accurately as expert doctors, but in a fraction of the time.
• AI-driven predictive maintenance systems in factories can analyze sensor data from machinery to predict when equipment is likely to fail. For example, Siemens uses AI to predict failures in their gas turbines and reduce unplanned downtime upto 30%.
• AI algorithms can process loan applications much faster than human loan officers. For example, Ping An Bank in China uses AI to process credit card applications which reduces the approval time from 5 days to 2 seconds while maintaining accuracy.

Improved Safety and Security

Artificial Intelligence has in fact impacted positively the way it supports security risks through providing smart monitoring systems. These systems are capable of recognizing potential security threats that may include; faces, predictive analysis, and anomaly.

This it can also be able to bring out patterns and trends that may be hidden to the human eye since it can process the data immediately. This capability has led to the development of improved surveillance systems that help prevent crimes and enhance transportation safety.

By utilizing AI-powered monitoring, security personnel can quickly identify and respond to potential threats which makes it faster and more effective action in critical situations.

Let’s see some examples of role of artificial intelligence in improved security systems.

Certainly. Here’s the information presented in a table format with three columns:

Healthcare Advancements

By analyzing the medical data, AI can detect potential diseases at an early stage. With different algorithms, AI can identify patterns and anomalies in medical images, lab reports, and patient records that might be missed by human doctors.

This capability has improved medical diagnosis and treatment by enabling doctors to make faster and more accurate diagnoses, develop. AI-powered tools can also help identify new drug targets, design more effective clinical trials, and optimize healthcare delivery.

These are some real-life examples of artificial intelligence usage in healthcare sector

Environmental Impact

Artificial Intelligence can identify and reduce environmental risks by providing intelligent monitoring and analysis of natural systems.

For example, AI-powered tools can analyze satellite data to identify deforestation, track ocean currents to predict weather patterns, and monitor air quality to detect pollution hotspots. This ability to process large amounts of environmental data quickly and accurately can help decision-makers develop effective strategies for resource management and risk mitigation.

AI can also help improve resource management and reduce waste by optimizing supply chains, reducing energy consumption, and minimizing material waste.

Through the use of AI in production and distribution networks, it is possible for the companies to decrease the emission of gases, cutting on wastage and enhancing efficiency.

Some real life examples of usage of AI in environment sector are given here:

The Cons of AI

Job displacement.

Artificial Intelligence will also replace jobs in various industries by automating tasks that were previously performed by humans.

This can lead to increased efficiency and productivity, there are concerns that it may also contribute to income inequality and unemployment rates.

As machines become more capable of performing tasks traditionally done by humans, there is a risk that jobs may disappear or become obsolete, particularly in industries with a high degree of routine work.

Privacy Concerns

AI’s ability to collect and analyze personal data has raised concerns over surveillance and potential misuse of personal information.

As AI technologies become more sophisticated, they can gather vast amounts of data from individuals, such as their preferences, behavior, and location and can lead to concerns over privacy and data protection.

This has led to calls for stricter regulations to protect personal data and ensure that AI is used in an ethical and responsible manner.

Bias and Discrimination

Artificial Intelligence systems rely heavily on historical data to make predictions and decisions, which can lead to perpetuation of biases and discrimination.

If historical data contains biases or reflects past discrimination, then the AI system may replicate those biases and perpetuate them. This can raise concerns over the ethical implications of AI decision-making, particularly in sensitive areas such as hiring, lending, and criminal justice.

To address these concerns, researchers are exploring ways to mitigate bias in AI systems, such as by ensuring diversity in training data, auditing algorithms for bias, and developing explainable AI to increase transparency and accountability.

It is important to ensure that AI is used in a fair and ethical manner to avoid perpetuating biases and discrimination.

More to read

• Artificial Intelligence Tutorial
• History of Artificial Intelligence
• 4 Types of Artificial Intelligence
• What is the purpose of Artificial Intelligence?
• Artificial and Robotics
• Benefits of Artificial Intelligence
• Intelligent Agents in AI
• Production System in AI
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• Artificial Intelligence Vs. Machine Learning
• Artificial Intelligence Vs. Human Intelligence
• Artificial Intelligence Vs. Data Science
• Artificial Intelligence Vs. Computer Science
• What Artificial Intelligence Cannot Do?
• Importance of Artificial Intelligence
• How has Artificial Intelligence Impacted Society?
• Application of Artificial Intelligence in Robotics

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