Free Essay - Technology on Artificial Intelligence

Published: 2023-11-15
Free Essay - Technology on Artificial Intelligence
Essay type:  Rhetorical analysis essays
Categories:  Artificial intelligence Social issue
Pages: 7
Wordcount: 1781 words
15 min read

The future of machine-making remains a heatedly debated discussion in the general, technical, and academic sectors. The controversy has contributed to concerns in the changing and dynamic world of computation known as artificial intelligence (AI). AI is the area of computer science that deals with the study of organisms that behave or function in a way that an analyst finds them rational and uses informed behavioral human and animal models to solve complex problems. While depicted as one of the major feasible technological advancements that may lead to job losses, AI is a potential alternative for competent, highly specific medical applications compared to humans and in a catastrophic reaction (Hutson, 2018). This paper shall discuss several discourses surrounding the effects of AI, and how to what extent the world has adopted the technological move of AI machine migration. Besides, the papers shall address several arguments regarding whether AI has led to offering solutions to the current and existing global challenges in all sectors, or it has become one of the contributing factors to the exponentiation of such problems. The paper hall therefore takes an argumentative form of discussion to embrace such AI technological dynamism with overall deductions made in the concluding part of the essay.

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AI Solutions to Disastrous Occurrences

Artificial intelligence (AI) has proved to be a cure for natural hazards in numerous areas of the planet. The effectiveness in every humanitarian intervention relies on the consistency in knowledge accessible in the core of AI systems. For example, the Artificial Intelligence Disaster Response (AIDR) has been used to integrate machines with human intelligence in planning response operations in multiple disasters Throughout these events, AIDR allows helicopters, sensors and robotics to organize, synthesize and deliver precise landscape-based data, thereby promoting saving time (Miller, & Brown, 2018). In the 2015 Nepal earthquake, it was included in the recruitment of volunteers and the 2015 EKU earthquake in Chile. Thus, artificial intelligence achieves high accuracy and consistency in the resolution of activities that are often challenging and time-consuming for humans.


In addition to emergency management, artificial intelligence also plays a vital function it medical study, teaching and illness detection. Nonetheless, Clinical Artificial Intelligence discusses the creation of AI applications and services that will render treatment and advice for therapy simpler. Health methods, like specialist programs and knowledge-based structures, are used in the medical industry. Such programs provide doctors and other practitioners with the potential to conduct data analysis to understand specific diagnostic results. Such evaluations and outcomes are reliable because the AI programs use evidence from various sources to provide patient-specific intervention and care guidance. The medical hypothesis assisted by the AI is right and offers knowledge for effective decision-making by both patients and specialists. As such, artificial intelligence has not only revolutionized the medical industry but guarantees its longevity.

Can Machines Think, Learn, or become Creative?

Many AI proponents hold less radical positions. Also called a "learning machine," it represents a device that can respond not only to the data but learns from it. The program will communicate with the world, create errors and update the code to cope with the ensuing circumstances. That approach takes the machine back to the analogy with a human; the modern device is contrasted with a little boy who starts with a certain amount of knowledge or instruction, and eventually "grows" into a more educated, logical person. The machine will now evaluate, explain and render an "intelligent" judgment based on prior knowledge in a specific scenario. Such a computer will be ideal for formulating and analyzing situations incredibly quickly to suggest or, in certain instances, render the decision. We can see a machine like this in the Wargames video, where military planning is simulated.

To others, the thinking machine is more "intelligent" than people – it is possible for others. On the other end of the continuum, others see the human brain as nothing more but an extraordinarily complicated machine, so they see no justification why machines should turn into anything comparable until they are quick enough and massive enough. This role is drastically different from the first one; now, the machine is more than a device that supports us in our everyday company. In reality, our entire existence is reduced to the life of a machine that is complex. This means that we are useful only before a quicker and more powerful computer appears, which frightens and offends others, contributing to the fiction plays that we have spoken about earlier.

The main questions still remain on what point should a transformation from dystopian possibility to science fiction occur? If the AI continuum ends, it is hard to deny the likelihood of an artificially intelligent device in a restricted manner, since the early version of these machines already exists. The machine poses further concerns, however, because the underlying principle itself remains just a device that analyzes data and takes choices, the idea is not all that surprising to most citizens. This is the most recent assertion which causes waves of anti-IA hostility between those who affirm to be pro-artificial intelligence and those who, instead, are labelled anti-IA.

Like me, many, deemed to be "anti-AI," do not doubt that fundamental artificial intelligence is possible or even probable, as illustrated in the first two contexts. Nevertheless, it is quite tough to digest the notion of a machine "evolving" up to or beyond humanity. When we start to talk about artificial intelligence at this point, the definition of the word radically shifts, and the issue poses significant objections. Essentially, the distinction between machines and people is at stake. To be deemed intellectual on a human level, a "person" must be willing first to accept all the information it provides, analyze it, and create an "intellectual" judgment. A machine is pretty sweet, so let's look at the complexity of the data. Yes, a program may manage numbers and equate outcomes with preset (or even redefined) criteria. When such variables as desires are added, the question emerges. How is joy, resentment, or depression quantified? What is passion, quantified?

The case against that generally centers on the actual being himself, arguing that the capacity to perceive and sense feelings is just something experienced – if one is able. If people have built these skills as young adults, what stops a machine from doing the same thing? Ultimately, there can be no conclusive response, as the assumption drawn relies primarily on understanding human experience. Many who adhere to "ordinary" human development have little trouble considering a parallel cycle for our machines. Those who do not believe evolution and maintain that the individual has a spirit unique to him can not reconcile this conviction with this machine. The capacity of man to build in particular is a trait that no other species appears to have. In addition to natural inclination and cat-copying, humans can develop but have a deep urge to do so. Maybe that is why you aspire to build the most fantastic item – anything you should make, too. It should be assumed that this distinguishing attribute renders this new iteration of artificial intelligence unlikely.

So, in fact, we see that the gaps between proponents of artificial intelligence and those who are branded as opposed are not so dramatic. In either event, furious contradictions typically emerge from misunderstandings of the word. Once it has been identified, the dispute is converted into variations in personal opinions on the human condition, not technological issues. All fields of artificial intelligence research should certainly proceed, and the simple AI edition would most definitely be developed in the short term. However, as I said above, I think the quest for the existence of an "artificial person" would only contribute to the reality that certain things humans can not do.

Human brain science supported by artificial intelligence (AI) is a complex, interdisciplinary field with a growing focus, extensive literature and immense diversity. The range of study subjects and innovations continues to expand despite the increasing increase of AI-assisted brain science's application reach. To assess the study efficacy, (re)allocate study capital and cooperate, a thorough understanding of this area is needed. This paper integrates the structural topic modeling (STM) with bibliometric analysis to automatically classify relevant study subjects from the broad, unstructured text of human brain research publications sponsored by AI over the last decade. Analyzes of the current developments, associations and clusters reveal distinct patterns in growth, exciting study direction and several local distributions of important countries/regions and research institutes (Hutson, 2018).. Such results helpfully explain scientific and technical AI-assisted brain science, offer useful advice on (re)allocation of capital and facilitate fruitful cooperation at the international level.

The pace of advancement of science and technology has accelerated in recent years. The definition and incorporation of artificial intelligence into our daily lives have elevated the environment to a new degree. Throughout this 21st century, the pace of technologies and emerging developments are rapidly introduced in all fields and stimulates global growth and prosperity. The vision of AI is a physical and interactive meeting and presentation system. The AI industry is thriving every day. Machines with an intellect that render them smarter than humans are the most critical part of AI. Because of all these developments, artificial intelligence has to be learned in detail.

Technological computers that work perfectly well with artificial intelligence are available in almost every corner. Without a machine, it won't be easy to live one’s entire existence. We use everyday vehicles, ATMs which televisions and these include machines. That is why programmers and their applications ought to be intelligent to make our lives easy and data more uncomplicated to use. Smart computer systems can and do benefit to all of us, but people have continually cautioned that it can be a downside to have machines so intelligent. Artificial intelligence, or AI, is an educational field that attempts to simulate human intelligence or meaning characteristics. These involve thinking, perception and adaptation. This research explores imaginative designs. Knowledge-based programs are also regarded as professional structures. These programs are based on and are capable of understanding a simple collection of rules to address particular problems.

The laws are specified by experts for the program and then applied with regulations. Such systems essentially mimic the thoughts of the expert in solving the problem. An example of this is a medical diagnostic device. The doctor will insert the signs in the computer system and pose more questions if necessary or make diagnoses. Many sources include loan authorization banking systems, automated calculators and weather forecasts. Interacting natural language systems enable computers to interact with the user in their everyday language. In this language, they acknowledge, view and execute orders (Debauche, et al., 2020).

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