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research & summaries question and need an explanation and answer to help me learn. Research Paper (125 points) This final Critical Thinking assignment builds on the assignments from earlier modules. You will now write a formal paper on the topic you selected. The paper must include the following elements: Title page Introduction—this should be revised based on feedback you received. Body of the paper that covers the main and subtopics. Identify any gaps in the research that you think could be a research topic in the future. Conclusion References Your paper should meet the following requirements: Be six to seven pages in length, including the introduction, but not including the title or reference pages. Be formatted according to Saudi Electronic University and APA writing guidelines. Provide support for your statements with in-text citations from the ten scholarly articles you have gathered. The following resources will help you with this assignment: Purdue Online Writing Lab - General Format – scroll down to see the information writing and formatting Abstracts Purdue Online Writing Lab – APA Sample Paper Review the grading rubric to see how you will be graded for this assignment. You are strongly encouraged to submit all assignments for review using the Plagiarism Originality Check tool prior to submitting them to your instructor for grading. Requirements: ...... 1. Chen, L., Chen, P., & Lin, Z. (2020). Education and artificial intelligence: A review, Ieee Access, 8, 75264, 75278 This article provides a comprehensive overview of the current state of artificial intelligence in education. The authors discuss the potential of AI in the educational sector, including its applications in teaching, assessment, and personalized learning. They provide an in-depth analysis of the current use of AI in education, exploring its potential for improving educational outcomes. Additionally, the authors explore the challenges and opportunities associated with AI in education, such as the potential for bias in AI algorithms, privacy concerns, and lack of resources in some areas. The review is thorough and well-researched and provides an insightful analysis of the current landscape of AI in education. This article is a valuable source of information for those interested in understanding the current state of the field and the potential implications of AI in the educational sector. AI has the potential to revolutionize the educational sector by improving teaching, assessment, and personalized learning. However, integrating AI into education also both potential and challenges. Some of the challenges include the potential for bias in AI algorithms and privacy concerns. Additionally, there may be a lack of resources in some areas to fully utilize the potential of AI in education. Overall, this article provides a comprehensive overview of the current state of AI in education and its potential impact on the field. It is a valuable source of information for anyone interested in understanding the current landscape of AI in education and its potential implications. 2. Collins, G. S., & Moons, K. G. (2019). Artificial intelligence prediction model reporting The Lancet, 393 (10181), 1577–1579. This article by Collins and Moons (2019) provides an excellent overview of the application of artificial intelligence in healthcare. The authors discuss the potential of AI in healthcare and its potential to improve the diagnosis and treatment of diseases. They also describe the challenges associated with developing and implementing AI-based prediction models. The authors provide an in-depth analysis of the current state of AI in healthcare, discussing its various uses and the potential benefits it could bring to the medical field. They also discuss the ethical considerations that need to be considered when using AI in healthcare. Finally, they provide several examples of AI-based prediction models and conclude by outlining the future directions of AI in healthcare. This article is a valuable resource for anyone looking to gain an understanding of the current state of AI in healthcare and the potential implications of its use. Artificial intelligence (AI) has the potential to revolutionize the healthcare industry by improving diagnosis and treatment of diseases. However, the development and implementation of AI-based prediction models also come with challenges. Collins and Moons (2019) provide an in-depth analysis of the current state of AI in healthcare, including its various applications and the potential benefits it could bring. They also delve into the ethical considerations that must be taken into account when using AI in the medical field. The authors provide several examples of AI-based prediction models and outline the future directions for AI in healthcare. Overall, this article offers a comprehensive overview of the current state and potential future of AI in healthcare. 3. Davenport, T., & Kalakota, R. (2019). Journal of Future Healthcare, 6(2), 94, artificial intelligence applications in healthcare 6(2), 94, Journal of Future Healthcare. This article provides an in-depth examination of artificial intelligence (AI) applications in healthcare. The authors discuss the various applications of AI in healthcare, including diagnosis, treatment, and health management. They discuss the potential of AI to improve healthcare outcomes and the challenges that need to be addressed to realize the potential benefits of AI in healthcare fully. The authors explore the opportunities for AI in healthcare, including the development of personalized healthcare solutions and the potential for AI to reduce costs. The authors also discuss ethical considerations and the potential for misuse of AI in healthcare. The review is comprehensive and provides a valuable resource for healthcare professionals and researchers interested in understanding the current landscape of AI in healthcare. However, AI is quickly becoming an integral part of healthcare, with applications ranging from diagnosis and treatment to health management. This technique has the potential to lower expenses while improving patient outcomes. However, there are also ethical considerations and potential for misuse that must be addressed in order for the technology to reach its full potential. Further research into AI applications in healthcare can help to identify the best ways to implement this technology and create personalized healthcare solutions. With advances in data collection and machine learning, AI can help to improve healthcare outcomes and create a safer, more efficient healthcare system. 4. Haenlein, M., & Kaplan, A. (2019). An outline of the history of artificial intelligence California management's past, present, and future analysis of artificial intelligence. 61(4), 5–14. This article provides an in-depth analysis of the history of artificial intelligence (AI). It begins by discussing the early days of AI, focusing on the 1950s, when the first experiments with AI began. It then traces the development of AI and its applications in various fields. The authors discuss the challenges and opportunities associated with AI today, including its potential impact on business, government, and society. Finally, the article examines the implications of AI for the future and how organizations should prepare for its advancement. Overall, this article provides a comprehensive overview of the history of AI and its potential impacts. AI was seen as a novel concept that had the potential to revolutionize computing. Early AI experiments focused on finding ways to automate routine tasks and improve decision-making. Over time, AI has become increasingly sophisticated and versatile, with applications in fields ranging from healthcare to finance. Today, AI is being used to make sense of large amounts of data, automate complex tasks, and improve decision-making. AI promises to offer new insights and opportunities for businesses, governments, and society as a whole. However, along with these opportunities come new challenges, such as data security and privacy, bias in AI-generated decision-making, and the ethical implications of AI. Organizations must be prepared to navigate these challenges in order to take advantage of AI's potential. As AI continues to evolve and become more sophisticated, it is likely to have a significant impact on the future of our societies. 5. Jha, K., Doshi, A., Patel, P., & Shah, M. (2019). a thorough analysis of artificial intelligence-based automation in agriculture. Agriculture and Artificial Intelligence, 2, 1–12. The article "A Thorough Analysis of Artificial Intelligence-Based Automation in Agriculture" by Jha, Doshi, Patel, and Shah (2019) provides an in-depth analysis of the potential of artificial intelligence (AI) in the agricultural sector. The authors discuss how AI can be used to improve crop management and animal health, as well as how it can enable precision farming. They also identify the challenges associated with AI, such as the need for robust data collection and the potential for AI to cause ethical issues. The authors provide a comprehensive overview of the current landscape of AI in agriculture and discuss the opportunities and challenges associated with its implementation. In addition to exploring AI's potential in agriculture, the authors also provide practical advice for those interested in implementing AI into their agricultural operations. The author's thorough research and analysis make this article a valuable source of information for anyone looking to gain insight into the current state of AI in agriculture. The authors further explore the various ways in which AI can be used to increase efficiency and improve yields. They analyze the potential of AI-based tools such as vision systems, robotics, and crop forecasting, as well as the challenges associated with their implementation. The authors also discuss the implications of AI in terms of ethical considerations and the need to address data privacy issues. Furthermore, the authors provide recommendations for the successful integration of AI into agricultural operations. This article is an invaluable resource for anyone interested in the current state of AI in agriculture and its implications for the sector. 6. Jordan, M. I. (2019). Artificial intelligence—the revolution hasn’t happened yet. Harvard Data Science Review, 1 (1), This article provides an overview of the current state of artificial intelligence. The author discusses the potential of AI, including its applications in industry, healthcare, and education. They also describe the challenges associated with the development and implementation of AI. The article is well-researched and provides an in-depth analysis of the current state of AI. The article outlines the potential of artificial intelligence (AI) to revolutionize many aspects of society, including medical care, manufacturing, and education. The author explains the challenges in developing AI and deploying it in the real world, such as the need for more data and the difficulty of creating algorithms that can learn and adapt. They also discuss the potential ethical and legal issues that could arise from using AI. The article is comprehensive and provides a detailed overview of the current state of the AI field and its growth potential. 7. Longoni, C., Bonezzi, A., & Morewedge, C. K. (2019). Artificial intelligence opposition in medicine. Consumer Research Journal, 46(4), 629-650. This article provides an overview of the current state of artificial intelligence in healthcare and its potential implications for the medical profession. The authors discuss the potential of AI in the healthcare sector, including its applications in diagnosis, treatment, and health management. They also describe the challenges associated with developing and implementing AI in healthcare. The authors also discuss AI's potential ethical and legal implications and the need for regulation to ensure patient safety. Furthermore, they provide an overview of current public opinion regarding artificial intelligence in healthcare and the potential benefits and risks associated with its use. The authors also review existing literature on the topic and suggest potential strategies for healthcare professionals to address AI-related challenges. Ultimately, the authors conclude that artificial intelligence offers great potential for improving healthcare outcomes. Still, its potential must be balanced with the ethical and legal considerations of its use arched and provides an in-depth analysis of the current state of AI in healthcare. 8. Malik, P., Pathania, M., & Rathaur, V. K. (2019). Overview of medical applications for artificial intelligence Journal of family medicine and primary care, 8(7), 2328 This article provides an overview of the current state of artificial intelligence in healthcare. The authors discuss the potential of AI in the healthcare sector, including its applications in diagnosis, treatment, and health management. They also outline the challenges and opportunities associated with AI in healthcare. The review is thorough and well-researched and provides an insightful analysis of the current landscape of AI in healthcare. The authors of this article provide a comprehensive overview of the current applications of artificial intelligence in the healthcare sector. They describe the potential of AI to revolutionize the diagnosis, treatment, and health management, as well as the challenges and opportunities associated with this technology. They explain how AI can detect patterns and anomalies in medical data, allowing for more accurate diagnoses, more effective treatments, and better health management. The authors also discuss the ethical implications of using AI in healthcare and the potential for misuse of the technology. Finally, they provide valuable insight into the current landscape of AI in healthcare and its future potential. This article is a valuable resource for those interested in learning more about the current state of AI in healthcare and its potential to improve patient care. 9. Venkatasubramanian, V. (2019). Is chemical engineering's promise of artificial intelligence finally realized? The AIChE Journal, 65(2), pp. 466-478. This article provides an overview of the current state of artificial intelligence in chemical engineering. The author discusses the potential of AI in the chemical engineering sector, including its applications in process optimization, materials modeling, and design automation. They also describe the challenges associated with developing and implementing AI in chemical engineering. The article is well-researched and provides an in-depth analysis of the current state of AI in chemical engineering. However, this article provides a detailed overview of the current state of artificial intelligence in chemical engineering. The author examines the potential of AI in the chemical engineering sector, such as its applications in process optimization, materials modeling, and design automation. They also discuss the challenges associated with the development and implementation of AI in chemical engineering, such as the need for more standardization, cost, and data availability. The article provides detailed case studies of successful AI applications in the chemical engineering field, as well as the potential of AI to revolutionize the sector. The author concludes that while AI has the potential to be a powerful tool in the chemical engineering sector, its development and implementation will require further research and collaboration between industry and academia. 10. Yu, K. H., Beam, A. L., & Kohane, I. S. (2018). The Nature Biomedical Engineering article on artificial intelligence in healthcare, 719–731, 2 (10). According to Yu, K. H., Beam, A. L., & Kohane, I. S. (2018), this article provides a comprehensive overview of the current state of artificial intelligence in healthcare. The authors discuss the potential of AI in the healthcare sector, including its applications in diagnosis, treatment, and health management. They also outline the challenges and opportunities associated with AI in healthcare. The review is thorough and well-researched and provides an insightful analysis of the current landscape of AI in healthcare. This article provides an in-depth look at the current state of artificial intelligence (AI) in healthcare. The authors discuss the potential of AI to improve healthcare delivery and outcomes, as well as the challenges and opportunities associated with its use. They also provide an insightful review of the current landscape of AI-based healthcare solutions and discuss how AI can facilitate better diagnosis, treatment, and health management. The authors provide examples of successful AI applications in healthcare and highlight some ethical and regulatory considerations that must be considered when using AI in healthcare. The article provides a comprehensive overview of the current landscape of AI in healthcare and offers valuable insights into the potential of AI to revolutionize the healthcare sector. Written an Introduction HQS 505– 21469 Evidenced-Based Research & Q Critical Thinking, Module 7 125 Points G220001089 Fahad Jaber Alfaifi 30/01/2023 Introduction Artificial intelligence (AI) is rapidly increasing in many fields, including healthcare, education, agriculture, and finance. AI has the potential to improve efficiency and accuracy (Chen et al., 2020). However, it raises ethical and practical concerns. This paper provides an overview of the ethical considerations surrounding the use of AI in various fields, including healthcare, finance, education, and agriculture. It is essential to consider these issues at all stages of the development and deployment of AI systems to ensure that they are used responsibly (Haenlein & Kaplan, 2019). This paper will discuss AI's potential benefits and limitations, the need for transparent and explainable AI systems, and the importance of ongoing monitoring and evaluation. In healthcare, AI has been used for various tasks, from image analysis and diagnostics to predicting hospital readmissions and identifying disease risk factors (Davenport & Kalakota, 2019). AI can improve patient care and reduce costs. AI-driven healthcare technology can help reduce costs by automating tasks, such as identifying potential trends in patient data, streamlining administrative tasks, and providing predictive analytics (Yu et al., 2018). Also, AI-driven technology can help improve patient care by helping clinicians quickly and accurately diagnose and treat illnesses and by helping patients better manage chronic conditions. Nevertheless, medical providers must consider potential issues of bias and accountability when using AI in care settings (Malik et al., 2019). For instance, since AI algorithms are created by humans, they may be subject to bias and errors. If the data utilized to train the algorithms is incomplete or incorrect, the AI system can produce biased outcomes. In education, AI is used for personalized learning and automating administrative tasks. AI algorithms can be used to analyze student data and provide tailored instruction and feedback to meet the needs of each student. AI can also automate administrative tasks, such as scheduling, record-keeping, and data entry, saving time and resources while ensuring accuracy and consistency (Venkatasubramanian, 2019). In agriculture, AI can improve crop yields and minimize labor expenses, but there are risks for small-scale farmers and the environment. Lack of control over AI system decisions, transparency about how they work, and access to data and resources needed to use AI effectively pose risks to the environment and small-scale farmers. Small-scale farmers may not have the resources to compete with large farms with AI systems, which may lead to economic and social inequality (Jha et al., 2019). Further, AI is being used to detect and prevent fraud in the financial industry, but there is a need to ensuring that these systems are used ethically. It is essential to consider the ethical implications of these technologies to ensure that AI is used responsibly (Collins & Moons, 2019). It discusses the advantages of transparent and explainable AI systems, the need for progressive monitoring and assessment, and a framework for evaluating AI's ethical implications. These considerations are essential to ensure that AI is used ethically and effectively. The ethical principles considered in this review are accountability, transparency, fairness, and respect for diversity. Accountability is the responsibility to accept the consequences of one's actions. In the context of AI, this means that developers and users of AI systems must be held accountable for their decisions (Longoni et al., 2019). Transparency is the principle of making information available to all stakeholders and allowing them to understand how AI systems work (Jordan, 2019). Fairness is the principle that AI systems should treat all people equally, regardless of race, gender, or other characteristics. Respect for diversity is the principle that AI systems should be designed to reflect the needs and values of diverse stakeholders. These principles are essential to ensuring that AI systems are used responsibly and ethically.