220 Final. Living with the Complexities of Technology: Captivity or Liberty?

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Living with the Complexities of Technology: Captivity or Liberty?
Introduction
History exemplified the metamorphosis of technology (Marcus). Machines were one of the primary inventions of our ancestral scientists, and these participated in the enrichment of the civilization for the past three thousand years. In essence, a machine is composed of resistant bodies arranged in a way that each part will have interaction with the others and function as a whole. This arrangement is designed to improve work performance. When human control influences the machine, it becomes more than a "tool" because it becomes an object with the autonomy that allows for self-regulation (Mumford). In the past, the assistance provided by the machines was significant that their role is overrated, thereby preventing humans from participating in work. The overexploitation of their use led to more advanced technologies that soon lifted the civilization to its peak. Despite the great recompenses from their use, humans were placed at a disadvantage since they became neglected in the field of labor. Additionally, humans sometimes become the subject of ridicule secondary to the use of the primary technology (Mazis). Discerning this idea, the use of technology led to the philosophy that its use may produce both reasonable and prejudiced circumstances which are primarily guided by humans' manipulative powers.
Machines do not allow self-limitation in a game of interactions. These objects exemplify tremendous interactions that promote consistency, contention, and ontological pronouncement. When these objects are given birth by the hands of a technological genius, one can realize that these entities are bearers of finitude or, in simpler words, "no limits or boundaries (Guattari)."
Data and Computer Coding
Having no boundaries created a massive amount of information that a "traditional machine" cannot process anymore. Due to this, brilliant inventors devised a system to store the vast amount of data created from continuously upgrading the machine through the help of modernized technology.
Initially, a datum refers to the qualification of fundamental unanalyzed samples that are marked as the objectives of knowledge and research. Raw data illustrate the authenticity of the unanalyzed samples, and their value is higher due to having an unaltered configuration that cannot be subjected to human alteration. Hence, giving these entities a tremendous epistemic weight. Due to this, data are considered as an "atom of knowledge" that may change over time (Strasser and Edwards).
One way to relate data to machines and technological advancements is to look at the method used by the 1980s climate scientists to monitor the weather and climate in a specific area or region. The scientists recorded instrument readings day by day and compared these data from the previous records. Currently, there is a tremendous volume of data from the simulations prepared by scientists from the 1980s. In fact, the data recorded far exceed the historical instrument record. These data are significant in monitoring the past, present, and future climate patterns since these can be related to the atmospheric composition of Earth and the universe. Through these records, the current and the future scientists can design new instruments and devices that can highly upgrade the techniques from the previous observations. Thus, gathering better and more data that can help the society prepare in the consequences or harm that may spring from the climate changes (Strasser and Edwards).
Marking an entity as a data means giving the object a kind of transformational knowledge that allows it to be used as a piece of constructive evidence in the future. The materiality of information is often overlooked by many. People do not ask, "what are these made of?" or "how do we form data?" Instead, people just rely on the information given by the data. Data are made up of texts and numbers stored as digital information in electromagnetic charges to silicon chips. Their materiality can define all data and this has no exemptions. The increasing energy expenditure of the "cloud" globally can be equaled to fifty times the averaged-size nuclear powerplant or around twelve percent of the nuclear power globally. This means that data can survive in a material substructure. Their materiality allows for a broader range of possibilities, such as storing, retrieving, and using data. Data transfer from one location to another can be quickly done through the use of hard or disk drives or by sending the data through the cloud or by electronic mail. The materiality of data makes interaction and collaboration of ideas easier for the technological geniuses (Strasser and Edwards).
Relating data to objects requires the shift of rationality from "data as objects" to "data as an essential part of the analysis." This permits the association of the significant bodies of knowledge to data storage and retrieval. Because of this system, the vast amount of data that we know today from biology to the practical finances survived. The convenience brought about by the use of data allowed for the synchronized assembly of knowledge in many places at once (Strasser and Edwards).
Romanum discussed the importance of "coding" of the data since various inventors, technological scientists, and companies start to battle over copyrights. The conflicts generally arise from ingenuity and the creation of higher forms of technology. Companies compete over the patents and the speed at which one company can produce an authentic technology that may be beneficial from humanity. Due to this, a system was created to allow for the storage of data through data encryptions and coding.
Codes define the technology that people enjoy today. These codes were created by making sequence signals from combining mathematical perspectives with the alphabet. In contrast to the opinion in contemporary society, codes are not the idiosyncrasy of computer engineering since these codes allow for the transmission of signals, making it the language of technology. Modern algebra, with the help of the introduction of the printing press, aids the technological advancements through creating a style of communication for technologies (Romanum).
The Birth of Artificial Intelligence (AI)
Computer coding paved a way for the birth of artificial intelligence (AI). AI has long been a subject of research since it has numerous benefits. It is an exceedingly captivating tool that enables individuals how to reorganize thoughts, analyze data, assimilate information, and apply the results of data analysis to improve decision making CITATION Wes18 \l 13321 (West and Allen).
The majority of people are not aware of the concept of AI. In fact, in 2017, seventeen percent or 255 out of 1,500 senior business leaders in the United States cannot familiarize themselves with AI. Many business people are not aware, and others do not merely care since they believe that AI is not necessary for their company to survive. However, some businessmen agree that AI may alter the traditions of a company by modifying the customs in society. Despite the extensive to the non-existent understanding of AI, this technology has already influenced various walks of life. However, the majority of policymakers and leaders fail to comprehensively understand its uses, making individuals question the society, economy, and governance CITATION Wes18 \l 13321 (West and Allen).
Qualities of An Artificial Intelligence
Generally, AI denotes machines that respond to the uniform stimulation of humans. It deliberates and acts like humans and mimics their contemplations and decisions. AI pronounces verdicts similar to human intentions and expertise. Moreover, these aids people in forestalling and deliberating issues by working cleverly and flexibly. The primary qualities of an AI include intentionality, intelligence, and adaptability CITATION Wes18 \l 13321 (West and Allen).
Intentionality signifies altering choices based on real-time data. In contrast to the traditional passive machines that lack proficiency in making informed decisions, AI provides insights derived from the sensors and digital and remote inputs. These, together with the widespread development in the storage, processing, and analytic systems, permit a sophisticated evaluation of data. Thus, providing an informed decision. The intelligence on an AI commences with machine learning and data analytics. The trends that underlie in the data are the bases for machine learning. This system helps in recognizing related entities to a specific issue or problem. Then, algorithms are formed from the associations and patterns that resulted from data analysis. The data than an...