Intelligent systems in manufacturing: current developments and future prospects

Global competition and rapidly changing customer requirements are demanding increasing changes in manufacturing environments. Enterprises are required to constantly redesign their products and continuously reconfigure their manufacturing systems. Traditional approaches to manufacturing systems do not fully satisfy this new situation. Many authors have proposed that artificial intelligence will bring the flexibility and efficiency needed by manufacturing systems. This paper is a review of artificial intelligence techniques used in manufacturing systems. The paper first defines the components of a simplified intelligent manufacturing systems (IMS), the different Artificial Intelligence (AI) techniques to be considered and then shows how these AI techniques are used for the components of IMS

Could There Be Free Speech for Electronic Sheep

Review of Toni M. Massaro, Helen L. Norton & Margot E. Kaminski, Siri-ously 2.0: What Artificial Intelligence Reveals about the First Amendment, Minn. L. Rev.(forthcoming 2017

Implications of artificial intelligence in healthcare delivery in the hospital settings: a literature review

Background: With massive development of artificial intelligence in all industries, the development of artificial intelligence technology in healthcare considered delayed compared with other field. The slow development of healthcare related to many factors including financial, ethical and social among other contributors. The aim of this literature is to review the positive and negative implications of artificial intelligence in healthcare delivery in hospital setting. Literature review aims to review the positive and negative implications of artificial intelligence in healthcare delivery in hospital settings, and reviews the various aspects of uses and applications of artificial intelligence in healthcare delivery in hospital setting in implications of artificial intelligence in healthcare delivery in hospital settings. Result: Most available studies showed that artificial intelligence has positively influence the heath care delivery in terms of quality of care, efficiency and accuracy. On the other hand, several studies showed that AI can also have negative implications in terms of ethical, privacy and de-humanization of care. Conclusion: In conclusion, the positive implication of artificial intelligence and the wide range opportunity of technological development exceed the negative aspect, especially when the negative aspects are addressed appropriately or avoided

Implementasi Artificial Intelligence dalam Sistem Informasi Akuntansi dan Manajemen

The development of artificial intelligence is considered to be faster and more accurate. Utilization of artificial intelligence in accounting and management information systems in the financial sector helps companies form better strategies and make efficient decisions. This study aims to thoroughly understand the implementation of Artificial Intelligence (AI) in accounting and management information systems, what are the challenges faced by organizations and identify the urgency in the application of artificial intelligence. This research is a Structured Literature Review (SLR) by conducting a systematic review and analysis of 40 articles published up to 2023. The literature is categorized on relevant concepts, grouped into themes to reveal additional information about the antecedents, challenges, guidelines, and consequences of implementing artificial intelligence on accounting and management information systems related to the organization. A conceptual framework for understanding the implementation of artificial intelligence is proposed by adopting the Input–Process–Output (IPO) model. This study provides guidance for future research and knowledge related to the implementation of artificial intelligence in accounting and management information systems. Keywords: Artificial Intelligence, Accounting, Information Syste

Power to the Teachers:An Exploratory Review on Artificial Intelligence in Education

This exploratory review attempted to gather evidence from the literature by shedding light on the emerging phenomenon of conceptualising the impact of artificial intelligence in education. The review utilised the PRISMA framework to review the analysis and synthesis process encompassing the search, screening, coding, and data analysis strategy of 141 items included in the corpus. Key findings extracted from the review incorporate a taxonomy of artificial intelligence applications with associated teaching and learning practice and a framework for helping teachers to develop and self-reflect on the skills and capabilities envisioned for employing artificial intelligence in education. Implications for ethical use and a set of propositions for enacting teaching and learning using artificial intelligence are demarcated. The findings of this review contribute to developing a better understanding of how artificial intelligence may enhance teachers’ roles as catalysts in designing, visualising, and orchestrating AI-enabled teaching and learning, and this will, in turn, help to proliferate AI-systems that render computational representations based on meaningful data-driven inferences of the pedagogy, domain, and learner models

ANALISIS PENERAPAN ARTIFICIAL INTELLIGENCE DALAM MENDETEKSI FRAUD PADA PROSES AUDIT (Studi Literatur Proses Audit di Asia dan Amerika)

This research aims to determine the influence of implementing Artificial Intelligence (AI) in detecting fraud in the audit process in Asia and America. This study uses a literature review method sourced from national and international journals originating from countries in Asia and America. The results obtained from this research indicate that Artificial Intelligence (AI) has a significant impact on the audit process, especially in detecting fraud. In terms of the sophistication priority scale possessed by AI, researchers can rank AI from the most advanced, namely Artificial Neural Network (ANN), Large Language Models (LLM), Complaint Management System (CMS), Behavior and Emotion Analytics Tool (BEAT), to Machine Learning, Big Data, Cloud Computing, and Fuzzy Methods, which are ranked last based on the most advanced AI

Real World of Artificial Intelligence - A Review

Artificial Intelligence is the combination of machine and human intelligence, which are in research trends from the last many years. Different Artificial Intelligence programs have become capable of challenging humans by providing Expert Systems, Neural Networks, Robotics, Natural Language Processing, Face Recognition and Speech Recognition. Artificial Intelligence brings a bright future for different technical inventions in various fields. This review paper shows the general concept of Artificial Intelligence and presents an impact of Artificial Intelligence in the present and future world

A comprehensive review of artificial intelligence for pharmacology research

With the innovation and advancement of artificial intelligence, more and moreartificial intelligence techniques are employed in drug research, biomedicalfrontier research, and clinical medicine practice, especially, in the field ofpharmacology research. Thus, this review focuses on the applications ofartificial intelligence in drug discovery, compound pharmacokinetic prediction,and clinical pharmacology. We briefly introduced the basic knowledge anddevelopment of artificial intelligence, presented a comprehensive review, and then summarized the latest studies and discussed the strengths and limitations of artificial intelligence models. Additionally, we highlighted several important studies and pointed out possible research directions