Limitations Of Artificial Intelligence

Artificial Intelligence is a groundbreaking technology that is now an established field. It is being used to mimic human capabilities such as speaking, listening, learning, and planning by using different algorithms to process data and produce results depending on the information provided by the user. Artificial Intelligence has been used in several industries when it comes to data processing and decision making. Artificial Intelligence has been invented to help decision and solutionmaking processes using a problem-solving approach. The development of Artificial Intelligence software provides efficiency and acceleration on different kinds of workflows, which will help organizations increase their profit and reduce wastage and costs due to poor productivity. There are already many applications that Artificial Intelligence powers; some of these are Web Search, Cybersecurity, and Machine Translations. All people are now having the benefit of using Artificial Intelligence, and it is beneficial for humanity. Artificial Intelligence has many positive aspects as it produces substantial results in people\u27s daily lives and businesses today; some of the most common Artificial Intelligence technologies used by the industry are robots and Virtual Assistants. Artificial Intelligence are powered by Natural Language Processing (NLP) and Speech Recognition Platform (SRP), but it is not limited to these two (2); many factors need to be considered, but these branches help in interpretation and manipulation of the commands stipulated. Indeed, Artificial Intelligence is rapidly advancing, and many organizations are willing to try and test out what is available in the market. However, others are not convinced with the Artificial Intelligence as there are alleged ethical issues that might cause accountability in a particular manner. This thesis will explain how Artificial Intelligence is used in different fields like Law, Medicine, the Military, and others while discussing the limitations present

Current Trend of Artificial Intelligence-Augmented Reality in Science Learning: Systematic Literature Review

Technologies enable organizations to support and improve knowledge management practices. First, it will be easier to define augmented and virtual reality concepts to better understand them. Artificial Intelligence technology enables organizations to support and improve knowledge management practices. The research aims to explain the current trend of artificial intelligence-augmented reality in science learning. A review is conducted on the state-of-the-art methods using the preferred reporting items for reviews and meta-analyses (PRISMA) guidelines. An innovation in educational technology to support learning is the existence of AI technology. Technology may speed up education when used wisely and responsibly. The development of artificial intelligence technology can help pupils become more independent. The teacher does not have to play such a dominant role, but his responsibilities are laid out in the context of offering illumination through significant keywords. The basis for every use of technology for teachers is to continue to prioritize the essence of teaching, namely managing the morale and behavior of students.    &nbsp

Evaluating Virtual Reality And Artificial Intelligence As Solutions For Delayed Flight Progress In Aviation Pilot Training

Three studies in this dissertation examined a topic centered around delayed flight progress in aviation pilot training. Study one explored the impact of nonconcurrent flight laboratory training on the academic outcomes of collegiate aviation students, while studies two and three explored virtual reality and artificial intelligence as potential solutions to help alleviate the strain of delayed flight progress on the flight training organization. In the first study (n = 144), it was found that concurrent enrollment in an aviation classroom ground course and flight training laboratory positively impacts the mean academic block exam scores of students. In study two (n = 120), virtual reality was shown to be an effective training technology in the quantitative measure of pilot performance, as well as the qualitative measures of acceptance and adoption of the technology. Finally, the third study (n = 37) showed that an artificial intelligence-based flight instructor performs comparably to a human flight instructor, when transferring a student pilot’s skills from the simulator to the aircraft. Findings from each of these studies are valuable for flight training organizations looking to find ways of better preparing their student pilots and supplementing the strain of reduced flight instructor staffing within the organization

Ambidexterity Through the Lens of Conventions? A Qualitative Study on Personal Virtual Assistants

Personal virtual assistants (PVAs) are demanded to effectively fulfil and support employee’s tasks in organizations. Today, PVAs are mainly trusted to take over simple administrative tasks, thus, limiting their potential long-term impact on employees and entire organizations. To overcome this shortcoming, we introduce the pragmatic perspective of the Economics of Conventions (EC) to analyze and understand employees’ plural motives and behaviors that may explain sustained or fragmented potential PVA use in organizations, especially taking the organizational challenge of ambidexterity into account. In doing so, we provide a deepened understanding of PVAs’ capabilities and give propositions for their organizational implementation and use. We also offer new avenues for future research by calling for a more holistic theoretical foundation of organizational artificial intelligence solutions that consider and represent organizations and their employees in their complexity, respectively their plural orders of worth

Constructing a scale for managing high-performance sports organizations using artificial intelligence techniques

The current study addressed one of the most significant issues that faced by high-performance sports organizations, which is not fully benefiting from the applications of artificial intelligence techniques. The main problem of the research was to understand the effect of applying artificial intelligence technologies in the management of high-performance sports organizations and the extent of the contribution of applications of artificial intelligence techniques in diagnosing and addressing administrative and technical obstacles in the departments of sports activity and schooling in the General Directorates of Education in the province of Baghdad, with the aim of achieving high performance. In this context, the main objective of the study was to construct a conceptual framework for the implementation of artificial intelligence techniques in high-performance sports organizations, specifically in the sports and school activity departments of the General Directorates of Education in Baghdad province, as a model. In order to achieve the objectives of the study, the researchers followed a descriptive approach with an analytical method that suited the nature of the problem. They also conducted an informal exploratory study in the sports and school activity departments, utilizing a questionnaire as the tool for data collection. The study concluded by developing a reliable scale for the application of artificial intelligence technologies in high-performance sports organizations, consisting of five fields: Expert systems, virtual reality, intelligent agents, information technologies, and process automation. The sample size was chosen to be equal to the population to suit the nature of the research. The validity and reliability of this scale have been confirmed through statistical means, such as Cronbach's alpha coefficient, which amounted to 89.7. The five fields of the scale contained twenty-five items. The relative importance of these items ranged between (63-84%). The highest value of relative importance was 84% for the second item from the expert systems field, which states, (expert systems function as a consulting expert for the upper management in the sports and school activity departments to contribute to making correct decisions), whereas the lowest value for relative importance was for the first item from the virtual reality field, which states, (the use of virtual reality in the sports and school activity departments contributes to the acquisition of diverse skills for the employees and works on developing administrative and technical performance

Organizational Posthumanism

Building on existing forms of critical, cultural, biopolitical, and sociopolitical posthumanism, in this text a new framework is developed for understanding and guiding the forces of technologization and posthumanization that are reshaping contemporary organizations. This ‘organizational posthumanism’ is an approach to analyzing, creating, and managing organizations that employs a post-dualistic and post-anthropocentric perspective and which recognizes that emerging technologies will increasingly transform the kinds of members, structures, systems, processes, physical and virtual spaces, and external ecosystems that are available for organizations to utilize. It is argued that this posthumanizing technologization of organizations will especially be driven by developments in three areas: 1) technologies for human augmentation and enhancement, including many forms of neuroprosthetics and genetic engineering; 2) technologies for synthetic agency, including robotics, artificial intelligence, and artificial life; and 3) technologies for digital-physical ecosystems and networks that create the environments within which and infrastructure through which human and artificial agents will interact. Drawing on a typology of contemporary posthumanism, organizational posthumanism is shown to be a hybrid form of posthumanism that combines both analytic, synthetic, theoretical, and practical elements. Like analytic forms of posthumanism, organizational posthumanism recognizes the extent to which posthumanization has already transformed businesses and other organizations; it thus occupies itself with understanding organizations as they exist today and developing strategies and best practices for responding to the forces of posthumanization. On the other hand, like synthetic forms of posthumanism, organizational posthumanism anticipates the fact that intensifying and accelerating processes of posthumanization will create future realities quite different from those seen today; it thus attempts to develop conceptual schemas to account for such potential developments, both as a means of expanding our theoretical knowledge of organizations and of enhancing the ability of contemporary organizational stakeholders to conduct strategic planning for a radically posthumanized long-term future

Can intelligence explode?

The technological singularity refers to a hypothetical scenario in which technological advances virtually explode. The most popular scenario is the creation of super-intelligent algorithms that recursively create ever higher intelligences. It took many decades for these ideas to spread from science fiction to popular science magazines and finally to attract the attention of serious philosophers. David Chalmers' (JCS, 2010) article is the first comprehensive philosophical analysis of the singularity in a respected philosophy journal. The motivation of my article is to augment Chalmers' and to discuss some issues not addressed by him, in particular what it could mean for intelligence to explode. In this course, I will (have to) provide a more careful treatment of what intelligence actually is, separate speed from intelligence explosion, compare what super-intelligent participants and classical human observers might experience and do, discuss immediate implications for the diversity and value of life, consider possible bounds on intelligence, and contemplate intelligences right at the singularity

A brief network analysis of Artificial Intelligence publication

In this paper, we present an illustration to the history of Artificial Intelligence(AI) with a statistical analysis of publish since 1940. We collected and mined through the IEEE publish data base to analysis the geological and chronological variance of the activeness of research in AI. The connections between different institutes are showed. The result shows that the leading community of AI research are mainly in the USA, China, the Europe and Japan. The key institutes, authors and the research hotspots are revealed. It is found that the research institutes in the fields like Data Mining, Computer Vision, Pattern Recognition and some other fields of Machine Learning are quite consistent, implying a strong interaction between the community of each field. It is also showed that the research of Electronic Engineering and Industrial or Commercial applications are very active in California. Japan is also publishing a lot of papers in robotics. Due to the limitation of data source, the result might be overly influenced by the number of published articles, which is to our best improved by applying network keynode analysis on the research community instead of merely count the number of publish.Comment: 18 pages, 7 figure