Artificial Intelligence Analysis and Proposal
Artificial intelligence (AI) is an emerging aspect of today’s digital world that sees advancements, inventions, and innovations to modify the existing systems. It incorporates machines and computers to mimic human behavior and intelligence and make it even better, timely, and reliable. It is a branch of study, research, and innovation within software engineering, hardware engineering, and Computer science. The first AI program was created in the mid50s (Gugerty, 2006).
Despite the numerous effects on History, Humanities, social science, and natural and applied sciences, the invention of biometric analyses has not greatly impacted society. Unlike the scientific bodies and top businesses, Artificial intelligence remains to be a non-applicable invention to society due to its costs.
Artificial Intelligence creates a simulation in the field of History, determining past phenomena and happenings. Modern technologies and science that gave rise to AI revolve around a Historic basis. Automatic theorem proving done by Simon H. and Allen in 1950 through their invention in 1955 was the first form of Artificial intelligence (Keith, 1969). They also considered AI and psychology, which deals with the sociality of people directly. It also simulates Humanities topics like rifts and land movements. These are called digital humanities since they incorporate technological applications.
Social Sciences apply Artificial Intelligence to observe trends and make relevant summaries that can make conclusions and automate decision-making for some instances. Since applied sciences vastly use scientific concepts, several aspects are in line with AI. Social computing influences future software and hardware innovations (Cathleen, C. M. et al., 2007). However, less has been done to monitor social behavior, interactivity, cultural aspects, and ways of life of people and their incorporation into this branch of science and technology.
With the rapid improvements and concerns in the modernization of almost every activity, Artificial intelligence attracts many attention and interests from medical, law enforcement agencies, businesses, and learning, among several other subjects. With this pressure and demand, there have been some challenges that need to be addressed. The current strategies and the entire field have to be reviewed to accommodate the widening demands. Moreover, there is a need to balance between AI, economic aspects, culture, and social aspects for the general society.
Some common examples of Artificial intelligence that directly or indirectly affect society and culture include the invention of biometric analysis techniques like facial recognition, fingerprint sensors, and automated machines. There are four types of AI, which affect society either directly or indirectly. These four types are reactive machines, mind theory, limited memory, and self-awareness (Hintze, 2016). There is a need to invent gadgets and programs that utilize these technologies to enhance sociality among people.
Some cultural practices require alteration of data sources required by AI programs and devices. For instance, tattooing can alter fingerprints or facial structure. Artificial intelligence will have to consider such a scenario and give room for Cultural and social influence.
With the existence of Artificial intelligence, there can be strategies to program a device that prompts certain inquiries from people in public places, determine their personalities and needs based on their responses, and classify them appropriately. By doing so, their interactivity will be better, and its social impacts boosted.
Relating this branch of study to other scientific fields and general technological fields will greatly impact innovations and advancements and address social and cultural aspects. Programs and devices that incorporate these unaddressed aspects will ensure full coverage of all fields that are currently excluded.
Reference
Cathleen, C. M. (2007). Social Computing: From Social Informatics to Social Intelligence. https://doi.org/10.1109/MIS.2007.41
Gugerty, L. (2006). Newell and Simon’s Logic Theorist: Historical Background and Impact on Cognitive Modelling. https://www.researchgate.net/deref/http%3A%2F%2Fdx.doi.org%2F10.1177%2F154193120605000904
Hintze, A. (2016). Understanding the Four Types of Artificial Intelligence. https://www.govtech.com/computing/Understanding-the-Four-Types-of-Artificial-Intelligence.html
Keith, G. (1969). Inquiry: An Interdisciplinary Journal of Philosophy. Pp. 406-419.
