Artificial Intelligence: An introduction to the faculty of CGSS

By ChatGPT 3

Edited by Mr. Jason Ballard, CGSS

EDITOR NOTE: This document was constructed primarily with AI (https://openai.com/blog/chatgpt/ ) to illustrate the capabilities of the ChatGPT for the faculty of the Command and General Staff School. Beginning with prompts designed from generalized questions as inputs the outputs are pure in form with limited editing applied to the document. The results are 80% AI outputs within the body of the paper and are direct from the OpenAI ChatGPT.

The purpose of this article is to inform the faculty of the AI capability in relation to appropriate application of AI in the CGSS classroom. It is important to realize that the quality of the information outputs within this paper are from an AI dependent significantly on the quality of the author’s prompts. The specifics were developed through refinement and having previous knowledge on AI, Machine Learning, Deep Learning, and the associated components. The quality of the paper would vary significantly on the authors’ knowledge on the subject. For additional information or comments please reach out to the editor, a true neophyte in the realm of AI .

What is Artificial Intelligence

Artificial intelligence (AI) is a broad term that refers to the ability of a computer or machine to mimic or replicate intelligent human behaviors, such as learning, problem-solving, and decision-making. Machine learning is a subfield of AI that involves the use of algorithms to allow a computer or machine to learn and adapt without being explicitly programmed. Deep learning is a type of machine learning that involves the use of artificial neural networks, which are inspired by the structure and function of the human brain. These neural networks are made up of layers of interconnected "neurons" that can process and analyze large amounts of data. A neural network is a type of artificial intelligence that is made up of layers of interconnected "neurons" that can process and analyze large amounts of data. Nearest neighbor analysis is a type of machine learning algorithm that is used to classify data points based on their similarity to other data points. It works by identifying the data point that is most similar (or "nearest") to a given data point and assigning the same label to both.

AI is a rapidly growing field that has the potential to transform many aspects of our lives, including healthcare, transportation, and communication. There are several different types of AI, including:

·????????Weak AI: This type of AI is designed to perform a specific task, such as playing a game or recognizing speech. It is not able to perform any other tasks outside of its programmed capabilities.

?·????????Strong AI: This type of AI can perform any intellectual task that a human can, and it can continue to learn and adapt as it performs these tasks.

?·????????General AI: This type of AI can perform a wide range of tasks and adapt to new situations. It is often thought of as the goal of AI research.

? AI is being used in many different fields, including healthcare, finance, and education. For example, AI can be used to diagnose medical conditions, identify fraudulent financial transactions, and personalize learning experiences for students. However, the development and use of AI also raises ethical concerns, such as the potential for job displacement and the need for responsible use of AI technologies. It is important for researchers, policymakers, and society to consider the potential consequences of AI and ensure that it is developed and used ethically.

?Plagiarism:

Plagiarism is the act of using someone else's work or ideas as your own without proper attribution. It is considered a serious ethical offense in academia and can have serious consequences for students, researchers, and professionals. In an academic setting, plagiarism can result in the revocation of degrees, the loss of professional licenses, and damage to a person's reputation. It can also lead to legal consequences, such as fines and imprisonment, if the plagiarism involves copyrighted materials.

Plagiarism can also have broader negative effects on society. It undermines the integrity of research and undermines the trust that society has in the scientific process. It can also lead to the dissemination of incorrect or incomplete information, which can have serious consequences in fields such as healthcare or finance. To avoid plagiarism, it is important to properly cite all sources of information and to clearly differentiate between your own ideas and those of others. Plagiarism can be unintentional, so it is important to familiarize yourself with proper citation practices and to carefully check your work for any accidental instances of plagiarism.

?AI and Plagiarism

Artificial intelligence (AI) has the potential to revolutionize the way we detect and prevent plagiarism. AI algorithms can analyze large amounts of text quickly and accurately, making it easier to identify instances of plagiarism. One way AI can be used to detect plagiarism is by comparing a given document to a database of other texts. The AI can identify similarities between the two texts and determine whether they are likely to be the result of plagiarism. This can be particularly useful for detecting plagiarism in large bodies of text, such as a dissertation or a research paper.

AI can also be used to identify patterns of plagiarism within an organization or academic institution. For example, an AI system could analyze the writing styles of different individuals and identify any instances where one person's writing closely matches that of another. However, it is important to note that AI is not a perfect solution to the problem of plagiarism. There may be false positives, where the AI mistakes legitimate similarities for instances of plagiarism, or false negatives, where the AI fails to detect instances of plagiarism. It is important to use AI as a tool, rather than a replacement for human judgment, in the detection and prevention of plagiarism.

There are many different AI-powered plagiarism detection tools available on the market, and it is difficult to determine which is the "best" one. Different tools may be better suited for different needs and purposes. Some popular AI-powered plagiarism detection tools include:

?·????????Turnitin: This tool is used by many schools and universities to check students' work for plagiarism. It compares submitted papers to a database of other texts and identifies instances of plagiarism.

?·????????PlagScan: This tool allows users to scan documents for plagiarism and check for proper citation. It also provides a plagiarism report detailing the sources of any identified plagiarism.

?·????????Copyleaks: This tool allows users to scan documents for plagiarism and check for proper citation. It also provides a plagiarism report detailing the sources of any identified plagiarism.

?·????????PlagiarismChecker.com: This tool allows users to scan documents for plagiarism and provides a report detailing the sources of any identified plagiarism.

? It is important to note that no plagiarism detection tool is foolproof and that it is always a good idea to double-check the results of any plagiarism scan. It is also important to properly cite all sources of information to avoid accidental plagiarism.

?What can you tell someone who is afraid of AI

It is completely understandable to be concerned about the potential impact of artificial intelligence (AI) on society. AI has the potential to transform many aspects of our lives and change the way we work and interact with one another. However, it is important to remember that AI is a tool, and like any tool, it can be used for good or bad purposes. It is true that the development and use of AI raises ethical concerns, such as the potential for job displacement and the need for responsible use of AI technologies. However, it is also important to recognize the many potential benefits of AI, such as improved healthcare, more efficient transportation, and faster and more accurate decision-making.

? It is important for researchers, policymakers, and society to consider the potential consequences of AI and ensure that it is developed and used ethically. It is also important to have open and honest discussions about the potential impacts of AI and to consider ways to mitigate any negative consequences. It is also important to remember that AI is still in the early stages of development and that there are many unknowns about its future trajectory. It is important to stay informed about the latest developments in AI and to be a part of the conversation about its future.

? There are many different forms of AI, and not all of them are equally advanced or capable. While some AI systems are highly advanced and can perform complex tasks, others are much simpler and are only able to perform a specific task. It is important to understand the capabilities and limitations of different AI systems. There are many ways that AI can be used to benefit society. For example, AI can be used to improve healthcare, reduce the risk of accidents, and make transportation more efficient. It is important to consider the potential benefits of AI as well as the potential drawbacks. There are steps that can be taken to mitigate any negative consequences of AI. For example, policies can be put in place to ensure that AI is used ethically and responsibly, and efforts can be made to educate the public about the capabilities and limitations of AI.

?What forms of AI are already available?

There are many forms of artificial intelligence (AI) that might surprise the average person, as AI is being integrated into a wide variety of products and services. Some examples of common forms of AI that might surprise people include:

?·????????Virtual assistants: Many people are familiar with virtual assistants such as Apple's Siri or Amazon's Alexa, which use AI to understand and respond to voice commands. However, these assistants are becoming increasingly sophisticated and can perform a wide range of tasks, such as setting reminders, playing music, and controlling smart home devices.

?·????????Chatbots: Chatbots are computer programs that are designed to simulate conversation with human users. They are commonly used by businesses to provide customer support or to answer frequently asked questions. Chatbots use AI to understand and respond to user input, and they are often able to carry on a conversation in a natural-sounding way.

?·????????Fraud detection systems: Many banks and financial institutions use AI to detect fraudulent activity. These systems can analyze patterns in financial transactions and identify any unusual or suspicious activity.

?·????????Self-driving cars: While self-driving cars are not yet widely available, they are becoming increasingly common. These vehicles use AI to navigate roads and make decisions about how to react to different situations.

Who is responsible for the CHAT GPT version 3?

OpenAI is a research organization that was founded in 2015 with the goal of promoting and advancing artificial intelligence (AI) in a responsible and safe manner. OpenAI is a nonprofit organization that is focused on conducting research in the field of AI and developing technologies that can be used to benefit society. OpenAI is known for its work on a variety of AI-related projects, including natural language processing, reinforcement learning, and machine learning. The organization has a team of researchers and engineers who are working on cutting-edge AI technologies, and it has received funding from several sources, including Microsoft and Elon Musk. OpenAI is committed to promoting the responsible development and use of AI, and it has established a few principles and guidelines to ensure that its work is aligned with this goal. The organization is also actively involved in public discussions about the ethical and societal implications of AI.

What is ChatGPT??(https://openai.com/blog/chatgpt/ )

ChatGPT is the first AI language model to break into the mainstream with over a million users registered within the first week of being released. This breakout is foreshadowing 2023 as a year that AI will become more common place then ever seen in the past. The current model is version 3 which contains a few limitations and varied reports on accuracy. With the release of version 4 this winter/spring will increase the efficiencies and possibly the reviews with it. (https://www.vox.com/future-perfect/2023/1/4/23538647/artificial-intelligence-chatgpt-openai-google-meta-facial-recognition)

The current version of the ChatGPT model is being considered a newer form of AI, known as generative AI. Numerous articles report that the new form of AI can generate content without the assistance of human prompts, which is not a new concept. However, what is new and all the noise surrounding ChatGPT is that this platform is the first successful high-end model available openly to the mainstream. Additional platforms include the DALL-E 2 image generator (also from the creator of OpenAI), the Imagen image generator and Google's LaMDA language, Stable Diffusion and Midjourney. All worth a web search. (https://www.vox.com/future-perfect/2023/1/4/23538647/artificial-intelligence-chatgpt-openai-google-meta-facial-recognition)

What is the long-term viability of an Open-Source AI available to students to assist with homework?

It is difficult to predict the long-term viability of any open-source AI project, as it will depend on many factors such as the level of funding and support it receives, the quality of the software and its ability to meet the needs of its users, and the overall demand for such a tool. However, it is believed that open-source projects can be sustainable if they have a strong community of users and contributors who are committed to maintaining and improving the software over time.

In terms of an AI tool specifically designed to assist students with their homework, it is possible that such a tool could be useful and popular among students, particularly if it is able to provide accurate and helpful assistance with a wide range of subjects. However, it is also important to consider the potential drawbacks of using such a tool, such as the risk of students becoming overly reliant on it or using it to cheat on assignments. It will be important for the creators of such a tool to carefully consider these issues and take steps to mitigate any negative impacts. There are some specific factors that could impact the long-term viability of an open-source AI tool designed to assist students with their homework:

?·????????Funding: As with any open-source project, a lack of funding could be a major challenge to its long-term viability. If the tool is not able to secure funding from sources such as grants, donations, or sponsorships, it may struggle to maintain and improve the software over time.

?·????????Quality of the software: The quality of the software will be an important factor in determining its long-term viability. If the tool is buggy, unreliable, or not able to provide accurate assistance, it is unlikely to be widely used or well-regarded by students.

?·????????User demand: The overall demand for such a tool will also be an important factor. If there is strong demand among students for a homework assistance tool, it is more likely to be successful and sustainable over the long term.

?·????????Community support: An open-source project depends heavily on its community of users and contributors for support and maintenance. If the tool can build and maintain a strong and active community, it will be better positioned to endure over the long term.

?·????????Ethical considerations: As mentioned earlier, it will be important for the creators of such a tool to carefully consider the potential ethical implications of its use, such as the risk of students becoming overly reliant on it or using it to cheat on assignments. If the tool can address these concerns in a responsible and transparent manner, it will be more likely to be trusted and supported by students and educators.

?What can a faculty member can do to be better prepared for the unethical applications of AI?

Educate yourself on the capabilities and limitations of AI: It is important for faculty members to have a good understanding of the capabilities and limitations of AI, so that they can be better prepared to address any unethical applications of the technology.

?·????????Set clear guidelines for the use of AI: Faculty members can establish clear guidelines for the use of AI in coursework and assignments, including what types of AI-assisted work are acceptable and what is considered cheating.

?·????????Use plagiarism detection tools: Faculty members can use plagiarism detection tools to identify assignments that have been completed with the assistance of AI or other unauthorized sources.

?·????????Encourage critical thinking and problem-solving skills: Rather than focusing solely on the completion of assignments, faculty members can encourage students to develop critical thinking and problem-solving skills that will be valuable in the long term, regardless of the use of AI.

?·????????Use a variety of assessment methods: Rather than relying solely on written assignments, faculty members can use a variety of assessment methods such as oral presentations, group projects, and practical exercises to evaluate students' understanding and skills. This can make it more difficult for students to cheat using AI or other unauthorized sources

??What can faculty do to prevent/lessen reliance on AI or cheating on assignments using AI?

The following suggestion could lessen the negative impacts of AI in an academic environment. Faculty development with focuses on AI applications and tools, practice thinking skills, and finally varying the institutional assessment methods will ensure learning and negate many of the nefarious effects of AI. Consider the specifics below to be better prepared for the future:

·????????Educate students on the appropriate use of AI: Institutions can educate students on the appropriate use of AI, including the importance of understanding the limitations and potential biases of such tools, and the ethical considerations involved in using AI to complete assignments.

?·????????Set clear guidelines for the use of AI: Institutions can establish clear guidelines for the use of AI in coursework and assignments, including what types of AI-assisted work are acceptable and what is considered cheating.

?·????????Use plagiarism detection tools: Institutions can use plagiarism detection tools to identify assignments that have been completed with the assistance of AI or other unauthorized sources.

?·????????Encourage critical thinking and problem-solving skills: Rather than focusing solely on the completion of assignments, institutions can encourage students to develop critical thinking and problem-solving skills that will be valuable in the long term, regardless of the use of AI.

?·????????Use a variety of assessment methods: Rather than relying solely on written assignments, institutions can use a variety of assessment methods such as oral presentations, group projects, and practical exercises to evaluate students' understanding and skills. This can make it more difficult for students to cheat using AI or other unauthorized sources.

?Conclusion

In conclusion, artificial intelligence has the potential to revolutionize the field of academia by automating tedious tasks and allowing researchers to focus on more creative and impactful endeavors. However, it is important to recognize that AI also has the potential to perpetuate and amplify societal biases and injustices. It is crucial for the academic community to carefully consider the ethical implications of AI and to take proactive steps to mitigate negative impacts. This may include conducting research on fairness and bias in AI, establishing guidelines for responsible AI development and usage, and fostering a culture of transparency and accountability within the academic community. By proactively addressing these issues, we can maximize the potential benefits of AI while minimizing any negative consequences. Additionally, it is important for academia to stay informed about the rapidly advancing field of AI and to adapt to the changes it brings. This may involve offering courses or programs in AI and machine learning, collaborating with industry leaders, and staying up to date on the latest research and developments in the field. By embracing AI, academia can not only remain relevant in a rapidly changing world, but also play a crucial role in shaping the direction and ethical use of AI.

Overall, AI has the potential to significantly impact academia in both positive and negative ways. It is up to the academic community to carefully consider the ethical implications of AI and to take proactive steps to ensure that it is used in a responsible and beneficial manner. By doing so, we can harness the full potential of AI to drive scientific progress and improve the world we live in.

NOTE: This document was constructed primarily with AI (https://openai.com/blog/chatgpt/ ) and the only editing applied to the document is formatting to Word, structuring within the document to ensure prompts follow the flow of the document. The results are 80% AI outputs within the body of the paper and are direct lifts from the OpenAI ChatGPT. It is important to realize that the quality of the information outputs within this paper are from an AI dependent significantly on the quality of the author’s prompts. The specifics were developed through refinement and having previous knowledge on AI, Machine Learning, Deep Learning, and the associated components. The quality of the paper would vary significantly on the authors’ knowledge on the subject.