Research paper (Essay Sample)

Artificial Intelligence Student’s Name Institutional Affiliation Course Code & Title Professor’s Name Date Artificial Intelligence A significant technological advancement in the modern day may need to be addressed due to its uncommon utility and associated dread. Artificial intelligence would be a great illustration of this. Artificial intelligence, or AI, is the intelligence that robots demonstrate that is analogous to the inherent intellect of living creatures. This technique was built on the painstaking AI research of John McCarthy (Marr, 2022). The fact that several researchers were present for the discussion on "thinking machines" served his purposes. These clever devices were created utilizing artificial intelligence to imitate human intelligence. The advancement of artificial intelligence needs to be more consistent due to numerous inconsistencies, despite any potential advantages it may have for technology and society as a whole (Gaviria, 2020). Artificial intelligence creates a lot of ethical and legal issues due to a lack of regulation. Regulation is necessary due to the unpredictability and independence of this technology. In the same way, humans do, a computer capable of acting autonomously must bear responsibility and accountability for its actions. Legal and ethical issues have been handled after advice on how to apply the law (Karliuk, 2018). These issues are made worse by security considerations. These security concerns are easily linked to ethical and legal ones because security and privacy need legislative restrictions to strengthen them (Krdemir & Phil, 2019). Numerous components of artificial intelligence must be considered and evaluated to improve the usability and recognition of this computer algorithm. Therefore, this paper explains the applications of AI and the impacts brought by its advancements. Background John McCarthy may have coined the phrase "artificial intelligence," but the idea of robots with artificial intelligence was first introduced to the world in the first half of the 20th century (Gasparetto & Scalera, 2019). Scientists, mathematicians, and philosophers used their knowledge to explore the idea of artificial intelligence by the 1950s. Besides, Young British mathematician Alan Turing was among those individuals (Gasparetto & Scalera, 2019). Unfortunately, computers prevented his discussion from continuing after that. Years later, they underwent the fundamental shift that was required. Researchers were able to delve into the topic of computer science because of computers, which were only accessible to wealthy colleges and significant technology corporations. The first artificial intelligence software was demonstrated during the Dartmouth Summer Research Project on Artificial Intelligence (DSRPAI), hosted by John McCarthy and Marvin Minsky in 1956. The advancement of artificial intelligence accelerated significantly between 1957 and 1974. Computers have advanced significantly in portability, weight, speed, affordability, and availability. In 1970, Marvin Minsky told Life Magazine that a machine would take three to eight years to have the same general intelligence as the average person (Gasparetto & Scalera, 2019). Even though it ultimately proved false, it took some time for this to be true. As computers improved, machine learning algorithms also accelerated development until 1997. Dragon Systems' first speech recognition program was released this year. Given the significance of voice recognition to this technology, Minsky's prognosis could have been better. The dilemma behind its development is what is now known as artificial intelligence, which is present everywhere. That is the rapid increase in computer power that is outpacing what AI is capable of. Artificial intelligence will eventually hit its development limit in this era of technology, just as it did in the 1970s. Artificial intelligence (AI) plays a significant role in improving the results of many operations and services around the world. Its effects can be seen in various fields, including the automobile industry, security, law enforcement, and judicial systems, as well as workplace health and safety, healthcare, and education (Zhang & Lu, 2021The condition of healthcare has greatly improved. AI can assist patients in receiving top-notch medical care. Infections can also be easily detected and treated, saving lives. AI With the aid of machine learning, many difficult problems are resolved using quantum computing. Similarly, more information is now available on issues that are difficult to tackle, but machine learning systems have made it easy to do so by automating. People are no longer required to perform strenuous activities due to using robots, AI-driven software, and expanding artificial intelligence, among other AI breakthroughs (Savas et al., 2021). There have been fewer mistakes and better outcomes as a result. Additionally, the development of machine learning increased the capacity of computer algorithms to generate reliable findings. Machine learning (ML) algorithms and generative advertising networks (GANs) enable drawing the appropriate conclusions in various fields, including business, courts, and other legal authorities. Many firms employ AI to boost productivity and profits. These companies gain a competitive edge by utilizing cutting-edge AI technologies. Two industries that use AI are the auto industry and workplace health and safety. Businesses deploy AI to remove workers from hazardous situations that could cause stress and musculoskeletal disorders. This is accomplished by automating machines to operate in a situation with such risks rather than using people. Artificial intelligence has emerged due to technological development, which is helpful in many fields, including healthcare. It now plays a transformational role in providing reliable, top-notch healthcare. It has greatly changed how risks are assessed, how radiography is performed, and how chronic diseases like cancer are managed. Artificial intelligence (AI) has also permitted the development of various choices to provide improved, accurate, and efficient medical services that adapt to patients' needs. Tadiboina (2022) discussed how AI and algorithms are applied to enhanced medical imaging and diagnosis. Artificial intelligence can help providers in various patient care and intelligent health systems. Healthcare organizations regularly use artificial intelligence algorithms to diagnose diseases, develop novel treatments, and identify patient risk factors. These techniques range from machine learning to deep computing. Various medical data sources, such as ultrasound, magnetic resonance imaging, mammography, genomics, and computed tomography scans, are required to properly predict diseases using artificial intelligence methodologies (Kumar et al., 2022). Furthermore, artificial intelligence primarily enhanced patient care during hospital stays and sped up the transition from the hospital to home. Quantum computing is used by artificial intelligence to better the resolution of challenging problems in addition to improving healthcare services. AI uses computers to develop practical applications, and quantum computing accelerates processing to help solve tough issues. According to Neumann et al. (2019), machine learning and quantum solutions use artificial intelligence. It enables the swift settlement of difficult problems. The amount and complexity of data are quickly outpacing what humans can process efficiently, making the job simpler. Machine learning, on the other hand, has made it possible and quicker. People frequently encounter or infrequently fail to resolve related problems quickly. Quantum computing often provides speedy solutions to problems. The authors also mentioned how machine learning in artificial intelligence depends on developments in quantum computing technology. Without a fully functional quantum computing solution, the advantages will still be accessible (Neumann et al., 2019). The researchers claim that quantum computing methods aid in the execution of machine learning-based procedures. Although artificial intelligence has made enormous strides in recent years, there are still certain technological restrictions. However, the availability of special features in quantum computing allows for removing obstacles to developing artificial general intelligence. Scientists use quantum computing to train and modify the behavior of machine learning models and develop effective algorithms. Furthermore, research suggests that stable AI enhanced by quantum computing may analyze data that would have taken a year to do so in a matter of seconds. Additionally, it promotes technological advancement for improved efficiency and precision. Modern quantum AI has advanced in areas like reasoning under uncertainty, neuromorphic cognitive models, and adaptive machine learning (Wichert, 2020). Quantum artificial intelligence (QAI) is anticipated to be used by future iterations of artificial intelligence to address various problems (Wichert, 2020). Some of the current QAI applications include quantum algorithms for decision-making, quantum game theory, learning algorithms, and quantum search. These programs significantly contribute to modeling, deep learning instruction, and traditional computing techniques that support artificial intelligence. Furthermore, AI is being developed in the banking sector. The shift is reflected in the growth in output and revenue. Studies show that leaders in AI development see a considerable increase in revenue in the financial services industry due to the many artificial intelligence options (Guo & Polak, 2021). Due to the fact that many of the research participants' companies use machinery to enhance their production processes, the rise is noticeably higher than the average revenue other firms make. The findings demonstrate that artificial intelligence-driven d...