concepts of AI

 concepts of AI

Institution

Artificial Intelligence (AI) technology can be traced way back to the 20th century. Studying the importance and limitations of implementing AI in different fields will help the organizations make an informed decision before implementing it. The worrying thing concerning AI is whether, with its rapid advancement, will surpass human intelligence, and ultimately become a threat to the human being. The following annotated articles concentrate on the concepts of AI.

This article indicates that the application of algorithms that can read CT scans faster compared to the human being is at the rise within the health care industry. However, similar to any other technology, the use of Artificial Intelligence in the healthcare system has faced a substantial amount of criticism. According to the author, the application of AI can lead to insignificant threats of privacy issues, medical errors, as well as ethical concerns. This aspect makes it effective over humans to natural language processing (NLP). The bottom line of this article is that so as to balance the risks and benefits of AI in healthcare, it will require a collaborative effort from regulators, technology developers, consumers, and philosophy majors. This article serves as a guide to those professionals working in the healthcare sector on issues concerning the integration of technology in health care services. The article will enrich my research in the sense that it provides the importance of AI over NLP.

This article presents an interview between Stuart Russel and James Manyika on issues about the future of Artificial Intelligence and how it has transformed the universe. In their conversation, they also investigate the significant merits ahead and the obligations of people once AI evolves into a more pervasive state. Their discussion also delves deep to explore the potential problems people might encounter with the current approach to Artificial Intelligence. The article also presents ways of redefining AI to make sure it helps humanity attain its full potential. Stuart explains that AI has brought immense changes in the education sector, where almost everybody in the world is using AI tutoring tools that have proved to be effective. In this case, the discussion concludes with a strong message that AI can only become better if people figure out how to implement it to those individuals who need it and educate them on how to use it. This article has shed light on the merits achieved for using this new technology.

The authors of this publication investigate artificial medical intelligence and reveal that it utilizes computer strategies to conduct clinical diagnoses and propose treatment. According to the article, the use of medical AI in the healthcare sector has yielded significant fruits. AI can detect substantial connections in a dataset and has been widely deployed in various clinical situations to treat and anticipate the outcome. In their research, they have as well focused on the feasibility and viability to integrate various computer AI strategies in medical information modeling as well as clinical procedure deployment. This special article brings into light the most recent advancement in the field of healthcare, with a strong emphasis given to the developments and outcomes attained from within the past few years. This article will enlighten the public on the presence of more advanced technology designed to ease the process of diagnosis and treatment of various illnesses. On the other side, this article is important to my research because it conveys most of the needed information regarding the recent advancements within the healthcare sector.

Rayome have uncovered that Artificial Intelligence strategies are now utilized to monitor endangered species, optimize crops as well as track illnesses. However, the article suggests that there is much that needs to be done to achieve the best from this new technology. According to the author, improvements in artificial intelligence can be the best solution for dealing with significant environmental issues. The environmental issues include climate change, diseases as well as animal endangerment, to mention a few. Despite the great work the AI can perform in environmental management, the business decision-makers within this field are yet to recognize the powers of AI. Nevertheless, various challenges act as a barrier for AI to solve all of these environmental issues. These challenges include cost and regulatory approval. The findings presented by the author have helped me understand the extent to which AI can cure the problems of the environment, which have continued to pretense as a global challenge.

The authors of this article explore the use of machine learning to model animal behavior. In their investigation, they reveal that computers can think, count as well as handle mathematical equations. However, comparing it to human intelligence, AI is like a young child. This is because it can only function in programmed scenarios. It cannot comprehend what improvisation and creativity are. The authors also move to present the history of computer evolution while still stating the much importance it has in different fields. The ideal message presented in this article serves as a pathway to the establishment and development of computers as a constitute of Artificial Intelligence. Going forward, machines are anticipated to take the position of human beings in various fields. The findings presented in this article will enrich my research as it highlights how the computers are slowly taking the positions of human beings, thus showing the anticipated challenges people will face as a result of using computers.

This article depicts AI as a new concept finding its way in distinct industries, and an increasing number of businesses already yield the advantages of using AI. However, although this new concept is gaining popularity, more companies are still yet to agree on it entirely. The article presents a list of probable reasons why most of the companies cannot implement AI. Most of the reasons for not implementing IA include lack of qualified personnel, challenges in locating appropriate business cases, failure of the company’s culture to acknowledge AI, among others. Generally, most organizations are expected to face data-related issues when using AI. They will also face the issue of bias and technical issues, to mention a few. This article has served as an eye-opener when writing my research paper by presenting the dangers associated with implementing AI. It has helped me to view AI from a twofold perspective. AI requires management to have well conversant before implementation.

In conclusion, above-annotated articles focus on the concepts of AI. Although the authors have varying opinions regarding AI, there is one thing that they all agree about; AI technology is improving the quality of life. They all claim that AI is well implemented in the health care sector, the educational sector, and the environmental sector, among other fields. However, these articles give warning to those who want to implement it, considering that it can cause severe damage to the normal operations of the organization. In this case, it is beneficial to first comprehend the concepts of AI before implementing it.