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1)Write a short story where you describe a situation in your future where something you learned in ENGL 1302 helps you understand the world

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1)Write a short story where you describe a situation in your future where something you learned in ENGL 1302 helps you understand the world. In other words, use your imagination to invent your future self and how you used something you learned in this class. You can think of this creative story in terms of your future career or a personal experience you might someday experience.

u2.2. Evaluate your writing throughout the semester. Did your writing change or improve? How so? Did you revise and improve your papers? Using evidence from the papers you wrote, make an argument for the grade you should receive in the class.3. Describe the process of the Archival Research Paper and what it was like to write a non-traditional research project. Write a summary of your final project, and tell me how well you THINK YOU DID..4. What is the best thing about the class? What should be changed? Please be constructive and know that I will take these comments into consideration for future classes. For starters, please tell me your opinion about the peer reviews on Turnitin.com and the helpfulness of my comments on your papers (if you requested them). Also, let me know what would make the Archival Research paper easier to understand and complete.

ARTIFICIAL INTELLIGENCE • Digital computers or computer-controlled robots perform tasks and activities that intelligent beings do. • . Human beings tend to ascribe their intelligence by performing complicated things. Artificial intelligence also acknowledges that different learning forms are linked to the concept. • The next move, a computer encounters a similar position; it will automatically recall and record the solution. • Simple tasks like memorizing procedures and items through rote learning are straightforward operations for a computer to implement. Artifact 1 • My first artifact is an artificial intelligent ray connecting different various nodes facilitating information sharing • Artificial intelligence rays help people access more information and data by providing fundamental changes in different sectors such as the health sector, information technology, and finance sector. • After all, there is a need to access more data to develop an appropriate artificial intelligence. • The nodes use deep learning running data inputs in biologically neural network connections and architecture. • The nodes have different layers acting as data processing units that allow machines to run deep in their learning, thus creating connections and weighting the best input for communication purposes. • With the advent of machine learning, systems learn from their experiences (VelezGinorio 2). The experiences focus on data detailing things in the past and those that underwent recordings. • For this reason, it is the responsibility of an algorithm to predict and classify different outcomes; as such, accessing more data results in artificial intelligence implementation and greater accuracy, resulting in better services provided to consumers. Artifact 2 • M y second artifact is a robot • Robotics is one of the domains existing within artificial intelligence dealing with intelligent and effective robotic systems. • They use artificial intelligence as software. In most cases, they blindly follow different scripts with minimum sensory inputs without learning or reasoning (Velez-Ginorio 3). • Therefore, it is common to say that the robotics system tends to cause some concerns in public, the artificial intelligence tends to have a significant effect on the life and system of humanity. • Thus, the artificial intelligence or robot system for a given task tends to form new issues than flexible and autonomous systems. • For this reason, robotic and artificial intelligence tends to cover two sets of systems. One system is independent of artificial intelligence and robots, while the other systems are both (Fong et al. 23). • They operate as artificial agents working in real-world environments. • The objective of the robots is to manipulate different objects by moving and perceiving physical properties of objects, destroy them, and free them from performing repetitive functions without getting exhausted, bored, or even distracted (Zhang et al. 1683). • Debate • Artificial intelligence • • There is an endless debate on whether machines are intelligent or not. People usually use the word intelligence when referring to humans and animals, until recently when they also categorized machines to be intelligent (Fuller 833). Some people believe that machine are intelligence while others state that machine are not intelligent. • Therefore, robots are more likely to fail if subjected to uncertain conditions. • However, there is a lot of discussion and debate on the matter. The arguments emanate from the actual definition of intelligence. • • What measures define intelligence, and are they created or derived from the system. For instance, in applications involving uncertain environments and setting like handling radioactive materials and exploring space, robots are more likely to perform better. Meaning they are more reliable in environments characterized by uncertain issues and elements (Velez-Ginorio 2). • The concept arises from the ability of an autonomous system to learn and adapt to the environmental setting. Such setting arises from the ability of an individual to adapt to prevailing circumstances linked with certain behaviours (Fong et al. 34). • Therefore, for a machine to be intelligent, they need to interact perfectly in an autonomous environment. Interacting with the environment entails learning from the prevailing environment and adapting to their changes. • Therefore, when discussing intelligent machines, one element that comes into people's minds is the robots' concept. • Such kind of features tends to differentiate machines from the intelligent system. Thus, ordinary machines tend to have a specific programmed loss of tasks. Cognitive science discusses the ability to use intelligent systems (Fong et al. 34). • Robots came into being an alternative to perform a task that can be done more repetitively and laboriously. • • However, robots operating according to programs within a specific controlled environment can never be intelligent (Zhang et al. 1683). Intelligence is usually connected to the mind theory focusing more on functionalism. The mind theory guides an individual on the entire scope detailing an individual mental state. • An individual's mental state revolves around their beliefs, hopes, and pain. Therefore, functionalism acknowledges that also computes have their actual mental states but in the form of software. Machines are not Intelligent • Machine are not intelligent • Machines only use loaded instructions and commands posted to them, and if the user enters a specific command, they tend to post an error. • This form of shift arises from the deep learning insurgence, which happens to be a method that trains machines with lots of artificial neurons (Wang and Alexander 20). These kinds of artificial neurons get inspiration from the brains of the users. The commands only act as knobs (Fuller 825). • If a given know is turned in the proper manner, the manner is more likely to perform a different task altogether. With enough information on people's hands, users can learn to adjust the known in the machines to allow them to recognize different objects, use language, and anything that the human operator commands them to do. • Previously, machine operators or a programmer would then teach machines these skills rather than let them learn independently. • In most cases, the concept happened to be very common in IBM's Deep Blue. The programmers gained lots of insights from the chess players and converted them into a deep blue (Velez-Ginorio 2). • This strategy operated well in beating the grandmaster but did not perform better when coming up with the intelligence operating outside the chess playing; because people playing chess tend to have clear rules (Wang and Alexander 20). Argument Point 1 • Machine uses the commands that have been loaded to them and if any command is entered, they post an error. Argument Point 2 • AI is a representation of human brain in a machine hence if no human, contribution, machine would not operate. Argument Point 3 • More research indicates that more human ability will be represented in machine learning Refutation • Though some people have a strong believe that AI has taken world control, my argument still remain that machine are not intelligent. • There are still people believing that artificial intelligence has already taken control. However, my argument remains that machine is not intelligent. • The entire machine operations still depend on command from human beings. That is why artificial intelligence and robots can't replace a human being in their workplace (Dobbyn 56). • The machines will never outshine the intelligence. People are still teaching the machines how to operate within definite commands and instructions. Human brains focus on developing computer program which can change and learn to new forms of data. • Humans generate the algorithms from the artificial intelligence taught machines to develop objects, develop obstructions, and develop the relationship between the technological variable. • It, therefore, leads to intelligent application managing a single task and activities at a time. • Artificial intelligence also makes the machine accurate, but the brains behind the operations will always remain humans. Concluding example • AI technology is highly developing and making machine learning more applicable in different sectors which include health, military and communication. • artificial intelligence has developed, thereby making machine learning more relevant and applicable in multiple sectors such as health, military, and communication. • It, therefore, signifies that people have continuously evolved into intelligent beings, explained through the concept of cognitive revolutions. The element of cognitive revolution has managed to separate human abilities from machine learning abilities and capabilities. • For this reason, human beings have continued domination the earth despite the advent of computer and artificial intelligence. • Therefore, one can assume that human intelligence has continued dominating artificial intelligence. • The only reason why people do believe that machine learning has a form of intelligence is that they have some computation powers, speed information processing, and higher memory. • However, they have little to show based on productivity and efficiency because human beings come into control. Works Cited • Dobbyn, Chris. Intelligent Machines. Open University, 2007, p. 56. • Fong, Ruth C. et al. "Using Human Brain Activity To Guide Machine Learning". Scientific Reports, vol 8, no. 1, 2018, pp. 1-34. Springer Science And Business Media LLC, doi:10.1038/s41598-018-23618-6. • Fuller, Steve. "The Brain As Artificial Intelligence: Prospecting The Frontiers Of Neuroscience". AI & SOCIETY, vol 34, no. 4, 2018, pp. 825-833. Springer Science And Business Media LLC, doi:10.1007/s00146-018-0820-1. • Goolsbee, Austan. Public policy in an AI economy. No. w24653. National Bureau of Economic Research, 2018. • Murphy, Meaghan. "Future Robots And Ensuring Human Safety | Navigate The Future". Navigate The Future, 2019, https://blogs.3ds.com/northamerica/future-robots-andensuring-human-safety/. • Turing, Alan. "What Is Artificial Intelligence? How Does AI Work? | Built In". Builtin.Com, 1950, https://builtin.com/artificial-intelligence. Accessed 7 May 2021. • Velez-Ginorio, Joey. "Artificial Intelligence Isn'T Very Intelligent And Won'T Be Any Time Soon". Massivesci.Com, 2019, https://massivesci.com/articles/artificial-intelligencedeep-learning-self-driving-car/. • Wang, Lidong, and Cheryl Ann Alexander. "Progress And Challenges Of Neuroscience And Brain -Inspired Artificial Intelligence". Neuroscience International, vol 11, no. 1, 2020, pp. 13-21. Science Publications, doi:10.3844/amjnsp.2020.1.9. • Zhang, Lu et al. "From Machine Learning To Deep Learning: Progress In Machine Intelligence For Rational Drug Discovery". Drug Discovery Today, vol 22, no. 11, 2017, pp. 1680-1685. Elsevier BV, doi:10.1016/j.drudis.2017.08.010. • • . ARP Checklist—ENGL 1302 Because the ARP is a non-traditional research project, you need to be very careful to follow this checklist so you don’t miss something important. The evaluation criteria, the multiple requirements, and a reminder of the overall sense of what I’m looking for are included below. EVALUATION Your project is graded on three things. Here they are: 1. Overall use of artifacts—how the artifacts add to and introduce the overall argument a. Is the reader engaged by the artifacts you use? b. Do you have two artifacts? Have you included images of both in your paper? c. Do your artifacts successfully introduce the historical context of the topic? 2. Format—Organization and Coherence a. How easy is your project to read and understand? b. Do you follow MLA format? c. Is the first part of your paper historical (explaining the artifacts)? d. Is the second part of your paper argumentative (addressing a current issue)? 3. Argumentative coherence—is an argument actually present? a. Is the issue or controversy of the project obvious when the second part begins? b. Is your argumentative thesis clear? Do reasonable people disagree (they should)? c. Do you MEET THE SOURCE REQUIREMENTS (see below)? d. Do your points and research ACTUALLY SUPPORT YOUR ARGUMENT? CHECKLIST Most importantly, do you meet the source requirements? ___ 8 sources ___ 4 academic (peer-reviewed, academic journal articles or books) ___ 4 other reliable sources from library databases (newspapers, magazines, etc.) ___ Do you cite your sources in MLA format throughout your project? ___ Did you email your ARP Planning Doc as requested earlier in the term? ___ Did you add your Works Cited to the end of your paper (in correct format)? Next, do you have two different artifacts that help create the context of your issue? ___ 2 artifacts (included at beginning of your paper with correct MLA caption below) ___ Do you add the artifacts to your Works Cited? (They do not count for the 8 sources) Have you created enough content to meet the word count minimum? ___ 2,400 words (minimum and does NOT include Works Cited or headings) DUE DATE on Course Calendar in Syllabus REMINDER It is important to start your paper with a historical (non-argumentative) discussion of your two artifacts. Your reader should be interested in your artifacts because you’re interested in them and you’ve described them in an interesting way. Next, is the second half of your paper academic and research-oriented? Is your researched argument pertinent and powerful? Do these two things well (artifacts and researched argument), and you’re set! Hello. In your post, you have highlighted the covert CIA project dubbed MK-Ultra, using Lysergic Acid Diethylamide (LSD). Besides the details covered in your post, MK-Ultra, which was initiated in 1953 at the height of the Cold War, was inspired by the need to develop a technique for mind control. MK-Ultra was pioneered by a CIA chemist, Sidney Gottlieb, and was operational until 1975 (Gross, 2019). Since details of the program first surfaced in 1975, it has elicited a lot of ethical and human rights concerns, particularly because some of the study subjects did not participate willingly (Gross, 2019). The images below are excerpts from proceedings of a hearing before the select committee on intelligence in August 1977. Fig 1: tatement by Admiral Turner Fig 2: CIA’s involvement in Dr. Olson’s assassination Running head: FAKE NEWS 1 Fake News Fake News Fake News Creators FAKE NEWS 2 Fake news creators fall under seven categories-jokers, scammers, conspiracy theorists, politicians, insiders, relatives, and celebrities (Springs, 2020). The motive for starting the joke varies by the category of fake news creator. For instance, jokers create fake news to satirize, entertain, or illustrate the irony behind a phenomenon, while scammers are driven by greed to fool the content consumers. Conspiracy theorists, on the other hand, are driven by the urge to convince the audience to conceptualize a subject from their perspective. Fake news creators use pathos to create convincing messages either on a controversial subject or a polarizing topic to capture the target consumer's attention. References Spring, M. (2020, May 4). Coronavirus: The seven types of people who start and spread viral misinformation. Retrieved from https://www.bbc.com/news/blogs-trending-52474347 Language Use in Fake News The purveyors of fake news are aware of the efforts made to combat the spread of disinformation in the mainstream media. However, they are determined to not only disseminate the disinformation but also to make sure it reaches as many people as possible. According to Grant (2018), these purveyors of half-truths make elaborate use of diction to incite and polarize the audience on the subject to prompt them to share the message to their contacts. Coupled with careful use of both kairos and pathos, the fake news creators break down most defenses that have been nurtured in the audience by activists and other anti-disinformation campaigns. References FAKE NEWS 3 Grant, A. (2018). Ethos, Pathos, and Logos: Rhetorical Fixes For an Old Problem: Fake News [Ebook] (pp. 81-91). Santa Rosa, CA: Proceedings of the Informing Science and Information Technology Education Conference, Jerusalem, Israel. Retrieved from http://proceedings.informingscience.org/InSITE2019/InSITE19p081-091Grant5114.pdf Combating Fake News The key to fighting fake news lies in the audience's ability to discern truth from falsehood. Unfortunately, the strategic and deliberate use of pathos makes the fakes news particularly convincing and renders it 'undeniable' to the target audience. According to Yahya (2018), nurturing critical thinking skills in the audience is paramount in the fight against fake news and misinformation. The public should be encouraged to use logos to evaluate news sources to determine their legitimacy and accuracy. While there is a ton of media literacy content on the internet sensitizing the public on how to identify fake news, the purveyors have unlimited access to advanced fabrication technologies that they can use to make their stories mirror the truth (Yahya, 2018). Coupled with the articulate use of pathos, the purveyors have an unfair advantage over the audience. However, the war is yet to be won by both purveyors and the audience. References Yahya, Y. (2018, December 16). 3 key strategies to fight fake news. Retrieved from https://www.straitstimes.com/politics/3-key-strategies-to-fight-fake-news