scholarly journals The Extent and Use of Artificial Intelligence to Achieve the Big Four Agenda in Kenya

2020 ◽  
Vol 1 (1) ◽  
pp. 1-7
Author(s):  
Mgala Mvurya
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Autonomous Vehicle ◽  
Vehicle Control ◽  
Human Intelligence ◽  
Guided Surgery ◽  
Development Agenda ◽  
Developed World ◽  
Big Four ◽  
Technology Trend

Artificial Intelligence (AI) is the human-like intelligence given to systems and demonstrated by machines in doing tasks associated with human intelligence. AI systems can therefore, think like humans, act like humans, think rationally or act rationally. AI systems are not only more powerful and more useful than ordinary computers, but they also solve complex emerging human problems. These systems can be used in areas such as medicine, to conduct guided surgery; transportation, for autonomous vehicle control; face recognition; speech recognition; decision making in agriculture, manufacturing and housing. The present study is a review of the AI technology trend. A search was conducted on literature, technology magazines, and other internet sources. A discussion is presented on how AI systems have been widely applied in the developed world and the extent these systems are being embraced in other countries like China to spar development. Thereafter, this paper discusses the extent to which AI has been applied in the specific areas that relate to the Kenyan Big Four Agenda. The contribution of this paper is a framework that the Kenya Government can adapt in the application AI’s world transforming technologies to achieve its development agenda. We discuss the challenges that hinder full application of the AI technology and present the way forward.

Artificial Intelligence, Human Intelligence, and Orientism Management Framework

2021 ◽  
pp. 1-30
Author(s):  
Luisa Dall'Acqua
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Decision Makers ◽  
Human Intelligence ◽  
Decision Making Process ◽  
Knowledge Process ◽  
Management Framework ◽  
Theoretical Contribution ◽  
Practical Guideline

The chapter intends to be a theoretical contribution for developers in the field of artificial intelligence. It also means a practical guideline for leaders, as decision-makers, to manage tasks and optimize performance. The proposed approach interprets the fluid nature of the decision-making process looking at knowledge and knowledge activities as dynamic, adaptive, and self-regulative, based not only on well-known explicit curricular goals but also on unpredictable interactions and relationships between players. The knowledge process is emerging in human and biological, social, and cultural environments.

scholarly journals Outlier Detection in High Dimensional Data

2021 ◽  
Vol 10 (5) ◽  
pp. 128-130
Author(s):  
Anusha L. ◽  
Nagaraja G S
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Neural Networks ◽  
Decision Making ◽  
Outlier Detection ◽  
Text Processing ◽  
High Dimensional Data ◽  
High Dimensional ◽  
Human Intelligence ◽  
Over Time

Artificial intelligence (AI) is the science that allows computers to replicate human intelligence in areas such as decision-making, text processing, visual perception. Artificial Intelligence is the broader field that contains several subfields such as machine learning, robotics, and computer vision. Machine Learning is a branch of Artificial Intelligence that allows a machine to learn and improve at a task over time. Deep Learning is a subset of machine learning that makes use of deep artificial neural networks for training. The paper proposed on outlier detection for multivariate high dimensional data for Autoencoder unsupervised model.

Artificial Intelligence Applications in the Auditing Profession: A Literature Review

2021 ◽  
Author(s):  
Ghayah Almufadda ◽  
Nora Almezeini
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Hiring Practices ◽  
Accounting Firms ◽  
Effective Implementation ◽  
Initial Decision ◽  
Essential Questions ◽  
Selective Bibliography ◽  
The Impact ◽  
Big Four

This paper investigates some essential questions that might interest auditors regarding the impact of artificial intelligence (AI) applications on the auditing profession by reviewing a selective bibliography of papers published mainly between 2016 and 2020. It discusses the major AI applications in the auditing field and explores the associated benefits in increasing auditing work’s effectiveness, efficiency, and quality. It further illustrates the major internal critical considerations that should be taken into account before AI application adoption in auditing practices, from initial decision-making to the use of proper countermeasures, to ensure the successful and effective implementation of AI applications. The extent to which AI applications in the accounting and auditing field might affect current hiring practices and threaten an auditor’s job, as performed today, is discussed and various debates and contradictory opinions are presented. The major AI applications adopted by the Big Four accounting firms are also discussed.

scholarly journals Artificial intelligence in dentistry and its future

2021 ◽  
Vol 7 (1) ◽  
pp. 082-086
Author(s):  
Priyankar Roy ◽  
Lalith Vivekanand ◽  
Gurman Preet Singh
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Medical Science ◽  
Human Intelligence ◽  
Decision Making Process ◽  
High Quality ◽  
Quality Patient Care ◽  
Dental Procedures ◽  
Care Systems ◽  
Decision Making Processes

Technology is evolving every day and the latest trends in Artificial Intelligence have made dental procedures less time consuming and minimally invasive. With their application the decision making processes have become easier and faster. Patients are more comfortable and dentists are more confident about their work. This advent of technology into medical science has made both practitioners and their patients comfortable and confident about the treatment rendered and received. The use of machine learning has made the decision making process easier by stimulating human intelligence into the machines that are programmed to think like humans and mimic their actions. Artificial Intelligence has proved itself to be a boon in the field of dentistry. In future AI based comprehensive care systems are expected to have high quality patient care and help researchers know and treat more about diseases. Even though misconceptions and certain limitations about Artificial Intelligence prevails, it still continues to flourish due to its advantages in providing precision.

scholarly journals Cardiovascular Imaging and Intervention Through the Lens of Artificial Intelligence

2021 ◽  
Vol 16 ◽  
Author(s):  
Karthik Seetharam ◽  
Sirish Shrestha ◽  
Partho P Sengupta
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Making ◽  
Interventional Cardiology ◽  
Cardiovascular Imaging ◽  
Human Intelligence ◽  
Intravascular Imaging ◽  
Additional Information

Artificial Intelligence (AI) is the simulation of human intelligence in machines so they can perform various actions and execute decision-making. Machine learning (ML), a branch of AI, can analyse information from data and discover novel patterns. AI and ML are rapidly gaining prominence in healthcare as data become increasingly complex. These algorithms can enhance the role of cardiovascular imaging by automating many tasks or calculations, find new patterns or phenotypes in data and provide alternative diagnoses. In interventional cardiology, AI can assist in intraprocedural guidance, intravascular imaging and provide additional information to the operator. AI is slowly expanding its boundaries into interventional cardiology and can fundamentally alter the field. In this review, the authors discuss how AI can enhance the role of cardiovascular imaging and imaging in interventional cardiology.

Birth of Intelligence

2020 ◽  
Author(s):  
Daeyeol Lee
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Rapid Expansion ◽  
Human Intelligence ◽  
The Future ◽  
Future Society ◽  
High Level

What is intelligence? How did it begin and evolve to human intelligence? Does a high level of biological intelligence require a complex brain? Can man-made machines be truly intelligent? Is artificial intelligence (AI) fundamentally different from human intelligence? Rapid expansion of AI applications has made these questions pressing. To better prepare for the future society and its technology, including how the use of AI will impact our lives, it is essential to understand the biological root and limits of human intelligence. After systematically reviewing biological and computational underpinnings of decision-making and intelligent behaviors, this book proposes that true intelligence requires life.

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