Please open all files and check them . This time I’d like you to help me with a Final DraftAllAssignments..docxFinalDraft.docxFe

Assignments:

*Your writing this quarter will be an exploration of ideas that interest you

*Think about the things you love or feel passionate about or the things that make you mad, things that will keep your interest during work on a longer research paper.

 *You’re assignment is to examine your own obsessions and find in them the path you want to follow, the landscape you want to explore, through documents such as books, videos, websites, journals, music, art, interview, survey… 

Topic Proposal: By the end of the second week everyone will choose a topic for research.  In a short paragraph, explain your topic, your reasons for selecting that topic, and some possible sources you might use to begin your writing. 

Outline with Thesis: The thesis and outline should be a fairly detailed, 1-3 page map of the paper you are writing.  The thesis should be clear and manageable, and the outline should specifically illustrate the structure and support for your paper.

Annotated Bibliography: The annotated bibliography must contain at least fifteen sources.  You will critically evaluate the sources you find, which will help you select those that you find most valuable to include in your writing.

Rough Draft:  The initial draft of the paper should be a minimum of 7 pages with an additional works cited page.  You will also have a minimum of 5 sources cited within the body of the paper.  This paper will go through peer review, and I will read and contribute feedback on it as well.

Final Paper:  The final draft must be 10-12 pages with at least 10 sources cited within the text and a complete Works Cited Page.

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Final Draft

. The final draft must be 10-12 pages with at least 10 sources cited within the text and a complete Works Cited Page.

. Consistent facility with In-text Citations and formatting of resources according to the chosen style

. Consistent facility with English grammar, syntax, vocabulary, punctuation and spelling

. WC/REF page layout, citations accuracy.

. In-text citations accuracy in accordance with the WC/REF page, clearly defined boundaries through signal phrasing, parenthetic citations.

. Balance of source material and commentary.

. Clarity of the paper and its thesis.

. Development of paper, thorough consideration of the topic and potential opposing views. 

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Feedback from Instructor about Rough Draft

Some in-text sources do need clearer boundaries. Sometimes it's hard to know when the info from the sources starts and stops and where your commentary begins, especially with paraphrased materials.

Maybe include more direct quotations.

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Surname: 1

Name:

Institution:

Professor’s Name:

Date:

Topic: The future of Artificial Intelligence

The topic of choice is Artificial Intelligence (AI) and it has many subtopics of interest which can be explored further. Again, currently, there are several ways through which AI is being integrated into daily human activities which have helped enhance some processes and events. For instance, AI is used in nearly all social media, digital assistants, web searching, self-driving, and parking vehicles in the automobile industry, and email communications. Hence, talking or referencing about the future is uncertain when not accounting for the presence and progression of AI in different sectors. However, when referring to the future of AI, it is also key to consider its impact, including the benefits and challenges it will have on those sectors where it is being applied. Besides, it will be important to research the current impact that AI has caused and assess the effect on the respective industry. Failure in one sector does not imply that it will fail when applied in other industries.

Accordingly, AI is an interesting topic to research because it affects all aspects of life, from traveling, home appliances, security and defense, communication, education, health, and the economy at large. Knowing the origin of the term AI is also important for a researcher who wants to evaluate its future. For instance, understanding its account will help assess the development in algorithms, the increasing data volumes, and progressions in computing power and storage which are considered as the key aspects of AI since 1956, and examine the contribution of each element towards its success in the future. Further, it is interesting to learn about the first application of AI and the sector in which it was used as well as the progression and projection for future use in the same field. Analyzing the steady development while accounting for the primary factors of potential development and possible challenges will also help determine the future of AI in those fields, including health, defense, and education.

The future of AI is an interesting and compound topic to explore, but the focus can be shifted towards the role of ethics in the prospect and the significance of big data. Data privacy and security is an instance of the key challenges facing AI today, it will be better to explore how it has affected individuals and how the developer of smart devices responds regarding how to lessen and improve privacy and security. Frequently, many social media users have experienced data breaches and security compromise to their accounts through cyber-attack leading to risks of disclosing personal and sensitive business information to intruders. Thus, it is important to explore if there are potential strategies, rules, and regulations being implemented to reduce the occurrence of such incidences that exposes millions of smart devices users to an unknown danger. Another challenge is a trust deficit. To demonstrate, many AI models have been developed to help solve or ease certain processes with higher accuracy than that of a human being. However, most fail to give the expected output making it hard for users to trust their use.

Overall, AI is a broad and interesting topic of research which have proven helpful in healthcare, retail, banking, manufacturing, and defense sectors in various ways. For instance, it has proven to attain incredible accuracy, automated repetitive tasks through data, and added intelligence to present products, such as Siri in Apple products. The future of AI is vast and its benefits will increase, though it is important to examine its success and challenges that might arise along the way.

Works Cited

Berente, Nicholas, et al. "MANAGING ARTIFICIAL INTELLIGENCE." MIS Quarterly 45.3 (2021).

Bohr, Adam, and Kaveh Memarzadeh. "The rise of artificial intelligence in healthcare applications." Artificial Intelligence in healthcare. Academic Press, 2020. 25-60.

Gaggioli, Andrea. "Top Three Technology Trends to Watch in 2019." Cyberpsychology, Behavior, and Social Networking 22.1 (2019): 97-97.

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Surname 2

Name:

Institution:

Professor’s Name:

Date:

Outline with Thesis 

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Surname: 9

Student’s Name

Instructor

Course

Date

Topic: The future of Artificial Intelligence

Thesis statement: Evaluating the presence and progression of Artificial Intelligence in different sectors by establishing the benefits and challenges to assess the effect on the respective industry.

Annotated Bibliography

Berente, Nicholas, et al. "Managing Artificial Intelligence." MIS Quarterly 45.3 (2021): 1433- 1450.

The article by Berente focuses on the idealistic approaches adopted in managing AI in our vastly advancing age of information technology management. In ensuring sustainable management of AI, it is proposed to evaluate aspects of communicating, leading, coordinating, as well as controlling diverse computational advancements that attribute to human intelligence to aid ease problem-solving processes when faced with challenges. Additionally, the source is enriching to the research by identifying that effective management of AI in the facets of autonomy, learning, and inscrutability is valuable in sustaining progressiveness in the AI scope of performance. Therefore, there are highlights on the basic approaches that help in managing frontiers of AI to speculate about the future of AI.

Brynjolfsson, Erik, and A. N. D. R. E. W. Mcafee. "Artificial intelligence, for real." Harvard Business Review (2017).

This is an institutional-based study that identifies that over the years, technological advancements have served a primary role in influencing economic growth globally. This allows for the integration of technology in improving distinct sectors creating further opportunities to expand business operations. Here, there are insights on the AI impact in businesses like big-box retailers, shopping centers, supply chains, as well as suburbs among others. Besides, this resource is helpful in this study through its comprehensive analysis of how AI has vastly progressed in the last decades to accommodate machine learning (ML) which serves to enhance human capacity to accomplish tasks. ML is excellent in integrating and effecting ideas leading to a transitional change in the global economy.

Bohr, Adam, and Kaveh Memarzadeh. "The rise of artificial intelligence in healthcare applications." Artificial Intelligence in healthcare. Academic Press, 2020. 25-60.

Bohr and Kaveh in this article specifically embark to identify how machine learning and bog data have triggered a substantial impact in the modern world in aspects of entertainment, healthcare, and commerce. Primarily, the authors focus on the specialized integration of AI in the healthcare system to improve patient outcomes through effective implementation of care practices, diagnosis, and treatment. Moreover, it is notable that the adoption of AI technology in healthcare leads to ease in identifying signs and symptoms that are persistent in a patient which leads to the identification of a compatible remedy. Also, AI is readily available for exploration by healthcare professionals in a range of tasks including management of patient records, administrative workflow, patient outreach, as well as patient monitoring.

Calo, Ryan. "Artificial Intelligence policy: a primer and roadmap." UCDL Rev. 51 (2017): 399.

This article is integrated as a primary source in providing insights on the progressiveness of AI in contemporary livelihoods creating a need to enact policies to manage diverse aspects projected. Specifically, there are ideas on the need for individuals to connect with AI due to its inevitable influence in modern world enterprises. Incorporating this resource relies on its idealistic proposition that there is a need to provide a roadmap to the major policy concerns in the implementation of AI. As a result, the article equips policymakers, investors, technologists, scholars, as well as students with a contemporary understanding of the policy environments around AI through exploration of different sectors.

Fischer, Lukas, et al. "AI System Engineering—Key Challenges and Lessons Learned." Machine Learning and Knowledge Extraction 3.1 (2021): 56-83.

This article is adopted as a primary source of information to enhance my research due to its comprehensive analysis of core challenges facing AI engineering within its course of development and implementation. Ideally, the study in this article relies on the infusion of the intrinsic conditions that are present in the modern world within the learning models, data, and software quality concerns. There are also challenges associated with human-centered artificial intelligence postulates such as information confidentiality and ethical concerns. Using this as a resource will be realistic in outlining the fundamental theory-practice gap associated with AI deployment by identifying specific topics for exploration in addressing attributed challenges.

Gaggioli, Andrea. "Top Three Technology Trends to Watch in 2019." Cyberpsychology, Behavior, and Social Networking 22.1 (2019): 97-97.

The article by Gaggioli serves as a secondary source responsibility in highlighting the projected advancements that are perceived to influence human life. Here, the author identifies three main technologies of Artificial Intelligence, Augmented Reality, and Effective Computing and how they are vastly progressing as parts of contemporary life in diverse aspects. In this, it is noted that the implementation of AI is considered an effective approach that leads to the advancement of medicine and healthcare over the last decades with gradual integration adoption in mental care and psychology. The concept of communization of AI allows the developers to connect with their applications to provide readily usable AI-based tools that lead to comprehensive decisions.

Gadepally, Vijay, et al. "AI enabling technologies: A survey." arXiv preprint arXiv:1905.03592 (2019).

Ideally, this article relies on a survey to establish how AI has triggered a significant revolutionary ideology that is adoptable in enhancing the United States' security. Here, there are insights on the potential challenges that are attributed to AI including data breaches, evolving threats, and rapid courses of actions implemented by the personnel. Here, it is suggested that integration of an end-to-end artificial intelligence system will involve the parallel development of diverse elements that offer decision-makers with necessary empowerment to operate efficiently. Additionally, AI is leveraged in a range of fields due to its feasible nature that allows for flexibility to enhance operations in the applied sectors leading to a revolutionized modern world.

Haenlein, Michael, and Andreas Kaplan. "A brief history of artificial intelligence: On the past, present, and future of artificial intelligence." California management review 61.4 (2019): 5-14.

This is a management article that establishes a primary understanding of AI history to create a substantial link between its progress from the past, through the modern, and a trajectory of its future. This makes it a reliable source in that it offers a compatible definition of AI as a system’s ability to interpret external data correctly, learning front of the presented information, implement this data into learning aiming at achieving a specified objective, as well as sustaining flexibility in operations to ease adaptability. Moreover, this idea offers a conceptual highlight of the core focus in the article which serves to identify micro, meso-, and macro AI perspectives. In conjunction with distinct specialists, this source draws on ideological aspects that offer a comprehensive outlook on the future of AI.

Hagendorff, Thilo, and Katharina Wezel. "15 challenges for AI: or what AI (currently) can’t do." AI & SOCIETY 35.2 (2020): 355-365.

Hagendorff and Katharina present a primary source of information that is compatible with the research in identifying specific challenges that are connected to AI in the modern era. Though AI has been vastly integrated to advance operations in different sectors that affect human livelihoods, there are associated demerits. Notably, AI has shortcomings and limitations in its methodological and epistemological misconceptions operationally. Also, there are attributed demerits that generate from the imposed restriction to AI making complex to convey universal implications in advancing the modern world. Specifically, the social context poses significant limits that are consequential in the application of machine learning embedded.

Jobin, Anna, Marcello Ienca, and Effy Vayena. "The global landscape of AI ethics guidelines." Nature Machine Intelligence 1.9 (2019): 389-399.

The article offers an integrative analysis of the AI landscape in the aspect of ethical guidelines considering its vast adoption in institutional settings and public sector enterprises. It presents essential ideas that improve the research in presenting the need for ethical consideration in the adoption of ethical AI to ensure that technical standards, requirements, and best AI practices are advocated. The ethical guidelines ought to assert a global agreement to sustain universality in responding to the arising queries on the progressiveness of AI. Mapping these ethical principles is essential in creating global convergence fostered through transparency, justice, non-maleficence, responsibility, and privacy which emphasizes why each element is vital in the advancement of AI.

Kholod, Marina V., Sergey V. Ponomarev, and Elena A. Gorlova. "Artificial intelligence and its impact on economic security: Trends, estimates, and forecasts." Scientific and Technical Revolution: Yesterday, Today and Tomorrow 129 (2020): 213.

The main notable idea proposed in this article is an analysis of how AI adoption creates an impact on economic security development. This is evaluated based on analysis of the associate changes triggered on the economic landscape through the dynamics of the actual and forecast development of AI. Primarily, the authors seek to evaluate the significance of AI growth in the industrial world which leads to technologized workplaces leading to revenue growth. Further, there is a highlight that the leading economic sectors adopt AI technology to create future maximization of the security alternatives offered through a specific level of AI integration. Hence, this will be useful in the research to establish how AI offers compatible solutions to sustain economic security.

Köse, Utku. "Are we safe enough in the future of artificial intelligence? A discussion on machine ethics and artificial intelligence safety." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 9.2 (2018): 184-197.

Based on this article Kose highlights that though AI has been vastly integrated into a different aspect of our life, there exists a concern about its safety in the future triggering an ethical evaluation of machine learning. In elaborating its concepts, the author references the fictional presentation of AI through the movie Terminator and other similar fictitious presentations that explore the potential challenges in AI applicability. Exploring the existential risks creates a foundational background in the study allowing for the elaboration of how humans are safe in the future of AI. There are distinct moral dilemmas that attribute to AI explored through the dystopic scenarios presented in the article to create a generalized conception of the future of AI.

Mueller, Shane T., et al. "Explanation in human-AI systems: A literature meta-review, synopsis of key ideas and publications, and bibliography for explainable AI." arXiv preprint arXiv:1902.01876 (2019).

This is an integrative study that explores the AI systems facilitated through the provision of comprehensive explanations to different elements that constitute human AI. Through this evaluation, it will be possible to reference AI concepts and issues that have progressively been adopted in this age of information. The foundation of this research is generated from the encapsulation of the computer science history efforts that are noted as foundational constituents of AI systems explored in the present and advancing to the future. Additionally, there is an explanation of the issues and challenges encountered in modern AI that result in the creation of psychological theories by researchers.

Tasioulas, John. "First steps towards an ethics of robots and artificial intelligence." Journal of Practical Ethics 7.1 (2019).

In this article, the focus majors on the primary efforts that are necessary for sustaining ethical values and principles in robot technology as a constituent of AI systems. From the analysis, the author presents applicable ideas to the research by highlighting the core issues considered in AI ethics. These are consistent with functionality, inherent significance, rights and responsibilities, side-effects, as well as threats. Establishing these is ideal in the study as they determine the functionality of machine learning and the inherent significance and centrality of AI in its attributed ability to neglect virtue leading to nebulous robot characters. Therefore, this will advance my research as it helps explore the issues that generate through the multiplicity of the interactive levels in AI that pose a potential influence on human values.

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Surname 1

The future of Artificial Intelligence (AI)

Student’s Name

Department, Institutional Affiliation

Course Code, Name

Instructor

Date

The future of Artificial Intelligence (AI)

Introduction

The topic of artificial intelligence (AI) asserts a major significance in the modern world where technology is vastly advancing. AI is defined as the ability of digital-based computers devices, as well as any computer-controlled robot that can perform tasks that are traditionally required human participation. In selecting this topic, it relied on the versatility of AI in contemporary lives since it has been advocated in different elements to enhance processes and events (Mueller et al., 220). For instance, AI is used in nearly all social media, healthcare systems, web searching, self-driving, and the automobile industry. Evaluating or referencing the future is uncertain when not accounting for the presence and progression of AI in different sectors. As a result, it will be important to research the current impact that AI has caused and assess the effect. This study will evaluate the presence and progression of Artificial Intelligence in different sectors by establishing the benefits and challenges to assess the effect on the respective industry.

Background

In understanding the future of AI, it is considered ideal to evaluate the history to establish a comprehensive understanding of the terminology and its progress over the years and trajectory towards the future. Although the concept of AI is widely perceived as modern, it has an extensive history that dates as early as the 1950s. AI was initially coined at Dartmouth College and attributed to John McCarthy. Also, there are substantial contributions towards the ide

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